\nWhy TrueML?\n \nTrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.\n \nThe TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.\n\n\nAbout the Role:\n\n\nAs a Senior Data Engineer II, you will play a pivotal role in designing, building, and maintaining our cutting-edge data LakeHouse platform. You will leverage open table formats like Apache Iceberg to create scalable, reliable data solutions that enable optimized query performance across a broad spectrum of analytical workloads and emerging data applications. In this role, you'll develop and operate robust data pipelines, integrating diverse source systems and implementing efficient data transformations for both batch and streaming data.\n\n\n\nWork-Life Benefits\n* Unlimited PTO\n* Medical benefit contributions in congruence with local laws and type of employment agreement\n\n\n\nWhat you'll do:\n* Building Data LakeHouse: In the Senior Data Engineer II role, you will design, build, and operate robust data lakehouse solutions utilizing open table formats like Apache Iceberg. Your focus will be on delivering a scalable, reliable data lakehouse with optimized query performance for a wide range of analytical workloads and emerging data applications.\n* Pipeline and Transformation: Integrate with diverse source systems and construct scalable data pipelines. Implement efficient data transformation logic for both batch and streaming data, accommodating various data formats and structures.\n* Data Modeling: Analyze business requirements and profile source data to design, develop, and implement robust data models and curated data products that power reporting, analytics, and machine learning applications.\n* Data Infrastructure: Develop and manage a scalable AWS cloud infrastructure for the data platform, employing Infrastructure as Code (IaC) to reliably support diverse data workloads. Implement CI/CD pipelines for automated, consistent, and scalable infrastructure deployments across all environments, adhering to best practices and company standards.\n* Monitoring and Maintenance: Monitor data workloads for performance and errors, and troubleshoot issues to maintain high levels of data quality, freshness, and adherence to defined SLAs.\n* Collaboration: Collaborate closely with Data Services and Data Science colleagues to drive the evolution of our data platform, focusing on delivering solutions that empower data users and satisfy stakeholder needs throughout the organization.\n\n\n\nA successful candidate will have:\n* Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's degree is a plus).\n* 5+ years of hands-on engineering experience (software or data), with a strong emphasis on 3+ years in data-focused roles.\n* Experience implementing data lake and data warehousing platforms.\n* Strong Python and SQL skills applied to data engineering tasks.\n* Proficiency with the AWS data ecosystem, including services like S3, Glue Catalog, IAM, and Secrets Manager.\n* Experience with Terraform and Kubernetes.\n* Track record of successfully building and operationalizing data pipelines.\n* Experience working with diverse data stores, particularly relational databases.\n\n\n\nYou might also have:\n* Experience with Airflow, DBT, and Snowflake. \n* Certification in relevant technologies or methodologies.\n* Experience with streaming processing technology, e.g., Flink, Spark Streaming.\n* Familiarity with Domain-Driven Design principles and event-driven architectures.\n* Certification in relevant technologies or methodologies.\n\n\n\n\n\n$62,000 - $77,000 a yearCompensation Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.\n\nThis role is only approved to hire within the following LatAm countries: Mexico, Argentina, or Dominican Republic.\n\n\nWe are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.\n\n\nOur Dedication to Diversity & Inclusion\n \nTrueML is an equal-opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $135,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nHinge is the dating app designed to be deleted\n\n\nIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.\n\n\nCollaborate with a cross-disciplinary team to build features and work with other engineers to plan out projects. Design and build backend systems with an emphasis on quality and scalability. Own complex projects end-to-end and effectively communicate to stakeholders. Work in a cloud native tech stack: Kubernetes, AWS, Go web services, Postgres, Redis, Kafka. Be a thought partner for backend team strategy and technical direction. Create and maintain feedback cycles with your peers and manager. Operate and maintain production systems. Support and mentor junior developers. Assist with team hiring and learning. Use strong communication skills (written and verbal) to provide product and project ideas to contribute to trust and safety goal. Telecommuting may be permitted. When not telecommuting, must report to 809 Washington St, New York, NY 10014. Salary: $169,229 - $220,000 per year.\n \n \nMinimum Requirements: Bachelor's degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field, plus 5 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field plus 3 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. Must also have the following: 3 years of professional experience building backend infrastructures for consumer-facing features (Business to Consumer) built on iOS and Android; 3 years of professional experience handling large volumes (millions daily) of data within AWS using Python and Golang scripting languages and handling cloud-based container including Docker and Kubernetes; 3 years of professional experience handling data and event streaming using Apache Spark and handling data storage using relational databases including MySQL and NoSQL database including PostgreSQL and Redis; 3 years of professional experience performing and employing software engineering best practices for the full software development life cycle (including coding standards, code reviews, source control management, build processes, testing, and operations); 2 years of professional experience performing backend software engineering (including leading and collaborating with Internal Tooling, Bad Actor Detection, Privacy & Compliance and Safety Product teams across web and apps) and developing backend infrastructures to drive systems that support the trust and safety of users with microservices written in Golang; 2 years of professional experience leading and creating project roadmaps of deployments for B2C web applications and mobile apps (including iOS and Android) and breaking down step to designate to peers; and 2 years of professional experience reviewing peer code and mentoring junior engineers.\n \nPlease send resume to: [email protected]. Please specify ad code [WLLL].\n\n\n\n\n$169,229 - $220,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York, New York.\n\n#LI-DNI\n\n\nAs a member of our team, you’ll enjoy:\n\n\n401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.\n\n\nProfessional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.\n\n\nParental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)\n\n\nFertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.\n\n\nDate Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.\n\n\nERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.\n\n\nAt Hinge, our core values are…\n\n\nAuthenticity: We share, never hide, our words, actions and intentions.\n\n\nCourage: We embrace lofty goals and tough challenges.\n\n\nEmpathy: We deeply consider the perspective of others.\n\n\nDiversity inspires innovation\n\n\nHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.\n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, Cloud, NoSQL, Mobile, Senior, Junior, Golang, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York, New York

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, NoSQL, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAbout Flywheel \n\n\nFlywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces for the world’s leading brands. We give clients access to near real-time performance measurement and improve sales, share, and profit. With teams across the Americas, Europe, APAC, and China, we offer a career with real impact, endless growth opportunities and the support you need to be the best you can be.\n\n\n\n\nOpportunity \n\n\nWe're looking for a Mid/Senior Data Engineer to join our team. The best candidates will hit the ground running and contribute to our data team as we develop and maintain necessary data automation, reports, ETL/ELT, and quality controls using leading-edge cloud technologies. You will have a deep knowledge and understanding of all stages in the software development life cycle. The ability to self-start, mentor and manage less experienced data engineers, desire to learn new technology, manage multiple priorities, and strong communication are all in your wheelhouse!\n\n\n\nWhat you'll do: \n* Write high-level, well-documented code in Python and SQLBuild data pipelines that range from simple to complex, using technologies like Apache Airflow and AWS Lambda, Step Functions, and EventBridge, and other AWS serverless technologies.\n* Build ETL pipelines with Snowflake, AWS Glue, pyspark and other ETL tools.\n* Work with a mix of structured and unstructured data across cloud-based batch and streaming architectures\n* Engage directly with technical analysts, project managers, and other technical teams to help build concise requirements and ensure timely completion of projects\n* Work with Git, CI/CD, and version control to maintain code and documentation\n* Design and vet solutions for technical problems, and solicit team feedback during the design process\n* Mentor, manage, train, and participate in paired programming in a lead capacity\n\n\n\nWho you are: \n* Must have experience with version control, GitHub, and software development life cycle\n* 4 years experience with SQL and data modeling\n* 4 years experience developing with Python\n* Demonstrated experience interacting with RESTful APIs\n* Experience with data pipelines / batch automation in at least one major technology (e.g. Apache Airflow)\n* Experience with one of the major cloud providers (AWS-preferred)\n* AWS Serverless (lambda, eventbridge, step functions, sqs)Experience working in an agile development environmentStreaming experience (kafka, kinesis, etc.)\n* Familiarity with JiraExperience with other AWS technologies: EC2, Glue, Athena, etc.\n* Experience with additional cloud platforms beyond AWS\n* Experience developing CI/CD, automations, and quality of life improvements for developers\n\n\n\n\n\nWorking at Flywheel\n\n\nWe are proud to offer all Flywheelers a competitive rewards package and unparalleled career growth opportunities and a supportive, fun and engaging culture. \n\n\n🌍 We have office hubs across the globe where team members can go to feel productive, inspired, and connected to others\n🌴 Vacation time will depend where you're located \n🧠 Great learning and development opportunities\n💜 Benefits will depend on where you're located\n🙌 Volunteering opportunities\n🌿 Learn more about us here: Life at Flywheel\n\n\nThe Interview Process:\n\n\nEvery role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call.\n\n\nEvery role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be.\n\n\nInclusive Workforce\n\n\nAt Flywheel, our goal is to create a culture where individuals of all backgrounds feel comfortable in bringing their authentic selves to work. We want all Flywheel people to feel included and truly empowered to contribute fully to our vision and goals.\n\n\nFlywheel is an Equal Opportunity Employer and participates in E-Verify. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.\n\n\nIf you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know at [email protected] so that we can support you.\n\n\nPlease note, We do not accept unsolicited resumes.\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Serverless, Cloud and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWe are redefining how people approach their health\n\n\nZOE is combining scientific research at a scale never before imagined and cutting-edge AI to improve the health of millions.  \n\n\nCreated by the world’s top scientists, our personalised nutrition program is reimagining a fundamental human need – eating well for your own body. Currently available in the US and the UK, ZOE is already helping > 100k ZOE members to adopt healthier habits and live better. Our work and expertise in biology, engineering, data science, and nutrition science have led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more.\n\n\nTo learn more, head to Spotify, Apple Podcasts, or Audible to listen to our Science & Nutrition Podcast (with 3 million listens!) \n\n\nA remote-first, high-growth startup, we are backed by founders, investors, and entrepreneurs who have built multi-billion dollar technology companies. We are always looking for innovative thinkers and builders to join our team on a thrilling mission to tackle epic health problems. Together, we can improve human health and touch millions of lives. \n\n\nWe value inclusivity, transparency, ownership, open-mindedness and diversity. We are passionate about delivering great results and learning in the open. We want our teams to have the freedom to make long-term, high-impact decisions, and the well-being of our teammates and the people around us is a top priority.\n\n\nCheck out what life is like for our tech team on ZOE Tech. \n\n\nWe’re looking for a Senior Data Engineer to take ZOE even further.\n\n\nAbout the team\n\n\nThe mission of the Core Science team is to transform research trials and data into personalised actionable recommendations that reach our members. We are currently developing a feedback loop to measure the efficacy of ZOE's nutrition and health advice, which will drive the evolution of our recommendations. In addition, the team is conducting supplementary studies in key areas, such as the microbiome, and constructing a platform to facilitate these trials alongside the main product. The team also maintains close collaboration with other stream-aligned teams to deliver scientific discoveries directly to the app.\n\n\nWe operate in a very dynamic and rewarding environment, where we work closely with all sorts of stakeholders to find the best solutions for both the business and our potential customers. Our agile, cross-functional teams use continuous delivery and regular feedback to ensure we deliver value to our customers on a daily basis. Our systems make use of Python, dbt, Apache Airflow, Kotlin, Typescript, React, and FastAPI. We deploy and operate our software using Kubernetes and ML models using VertexAI in GCP. \n\n\nAbout the role\n\n\nAs a Senior data engineer in the Core Science team, you will be working with scientists, data scientists and other engineers to build a platform that empowers our team to conduct scientific research trials and improve the efficacy of ZOE’s nutrition and health advice. Every line of code you write will be a catalyst for groundbreaking discoveries.\n\n\nIn this role, you will also have the opportunity to make a significant impact on the personal and professional development of our team by providing guidance, support, and expertise. You will play a crucial role in helping individuals achieve their goals, overcome challenges, and maximise their potential.\n\n\n\nYou'll be\n* Defining the data requirements from the research trials that the core Science team will run alongside data coming from the main product experience.\n* Automating data collection from a variety of sources (e.g. labs, questionnaires, study coordination tools).orchestrating integration of data derived from these trials into our data warehouse. \n* Coordinating with different product teams to ensure a seamless App experience for both study participants and paid customers. \n* Ensuring consistency and accuracy of all study data used for research and product development.  \n* Conducting exploratory data analysis to understand data patterns and trends. \n* Creating algorithms and ML models when necessary.  \n* Ensuring data security and compliance with regulatory standards.\n* Ensuring data accessibility to internal and external stakeholders with up-to-date documentation on data sources and schemes. \n\n\n\nWe think you’ll be great if you...\n* +6 years of experience in data engineering roles, with a proven track record of working on data integration, ETL processes, and data warehousing \n* Are proficient in Python and SQL and have experience with Data Warehouses (ex: BigQuery, SnowFlake) and interactive computing environments like Jupyter Notebooks.\n* Have knowledge of data governance principles and best practices for ensuring data quality, security, and compliance with regulatory standards.\n* Are detail-oriented and data-savvy to ensure the accuracy and reliability of the data. \n* Are someone who strives to keep their code clean, tests complete and maintained, and their releases frequent.\n* Have experience with cloud platforms like Google Cloud Platform (GCP) and platforms to schedule and monitor data workflows like Apache Airflow.\n* Have a solid understanding of best practices around CI/CD, containers and what a great release process looks like. \n* Have the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.\n* Have a mindset of collaboration, innovation, and a passion for contributing to groundbreaking scientific discoveries.\n\n\n\nNice to have\n* Have experience with dbt and Apache Airflow. \n* Have experience with ML modelling and ML Ops. \n* Have experience with privacy-preserving technologies such as federated learning and data synthesis. \n\n\n\n\n\nThese are the ideal skills, attributes, and experience we’re looking for in this role. Don’t worry if you don’t tick all the boxes, especially on the skills and experience front, we’re happy to upskill for the right candidate. \n\n\nLife as a ZOEntist – what you can expect from us:\nAs well as industry-benchmarked compensation and all the hardware and software you need, we offer a thoughtfully-curated list of benefits. We expect this list to evolve as we continue supporting our team members’ long-term personal and professional growth, and their wellbeing. \n\n\nRemote-first: Work flexibly – from home, our London office, or anywhere within the EU \nStock options: So you can share in our growth \nPaid time off: 28 days paid leave (25 holiday days, plus 2 company-wide reset days, and 1 “life event” day) \nEnhanced Parental Leave: On top of the statutory offering\nFlexible private healthcare and life assurance options\nPension contribution: Pay monthly or top up  – your choice. \nHealth and wellbeing: Like our Employee Assistance Program and Cycle to Work Scheme\nSocial, WFH, and Growth (L&D) budgets. Plus, multiple opportunities to connect, grow, and socialise \n\n\nWe’re all about equal opportunities \nWe know that a successful team is made up of diverse people, able to be their authentic selves. To continue growing our team in the best way, we believe that equal opportunities matter, so we encourage candidates from any underrepresented backgrounds to apply for this role. You can view our Equal Opportunities statement in full here. \n\n\nA closer look at ZOE \nThink you’ve heard our name somewhere before? We were the team behind the COVID Symptom Study, which has since become the ZOE Health Study (ZHS). We use the power of community science to conduct large-scale research from the comfort of contributors’ own homes. Our collective work and expertise in biology, engineering, and data/nutrition science have led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more.\n\n\nSeen ZOE in the media recently? Catch our co-founder Professor Tim Spector (one of the world’s most cited scientists) and our Chief Scientist Dr Sarah Berry on this BBC Panorama, and listen to CEO Jonathan Wolf unpack the latest in science and nutrition on our ZOE podcast. \n\n\nOh, and if you’re wondering why ZOE? It translates to “Life” in Greek, which we’re helping ZOE members enjoy to the fullest. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUK/EU or compatible timezone (Remote)