\nDRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.\n\nHeadquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and crypto assets.\n\nWe operate with respect, curiosity, and open minds. The people who thrive here share our belief that it is not just what we do that matters–it is how we do it. DRW is a place of elevated expectations, integrity, innovation, and a willingness to challenge consensus.\n\nWe are looking for a Technical Lead to join Cumberland’s blockchain product development team.  This role will be responsible for designing and supporting commercial systems in a technologically diverse stack used to support on-chain application infrastructure globally.  \n\nResponsibilities:\n\n\n* Work as part of our blockchain products team to build and support best-in-class customer-facing products on distributed ledger technology.\n\n* Lead Engineering team.\n\n* Serve as Solution Architect for multiple products.\n\n* Triage complex software issues and provide technical support to customers.\n\n* Prioritize and resolve incidents and requests raised by customers.\n\n* Document features and issue resolutions.\n\n\n\n\nQualifications:\n\n\n* Bachelor’s degree in computer science, engineering, or related disciplines, Or equivalent technical training and/or work experience.\n\n* 5+ years of experience as a full-stack engineer.\n\n* Technical Skills – strong understanding of computer hardware and software, networking, security, and other related skills:\n\n\n\n* Experience developing commercial applications using Java, JavaScript, Python or Scala\n\n* Experience with databases, particularly SQL, PostgreSQL, and/or Oracle\n\n* Good understanding of networking protocols/firewalls and cloud computing environments\n\n* Experience packaging and deploying applications is a plus\n\n* Ability to diagnose and troubleshoot basic technical issues (e.g., Analyzing problems, testing solutions, and recommending changes)\n\n* Familiarity with configuring and using Operating Systems (Linux/Windows/MacOS)\n\n* Familiarity with configuring and using blockchain based distributed ledgers (Fabric, Ethereum, etc.)\n\n* Experience with deploying and configuring services on cloud environments (AWS, GCP, Azure), and using containerization/orchestration tools (Docker, Kubernetes)\n\n* Familiarity with using third-party tools such as Jira, Confluence, Datadog, Jaeger, GitHub, etc.\n\n\n\n* Communication Skills – possesses the ability to effectively interact with customers, colleagues, and other stakeholders, utilizing excellent verbal, written, and listening skills to communicate technical concepts clearly and efficiently.\n\n* Problem-solving Skills – able to identify and understand software issues and develop solutions to fix them.\n\n* Customer Service Skills – ability to maintain a supportive and calmative approach to answer customer questions, solve problems and provide solutions in high-pressure situations.\n\n* Desire to be the technical owner of multiple products.\n\n* Experience managing and assessing contractors and third-party products.\n\n* Experience working in financial services and/or Web3 is a PLUS.\n\n\n\n\nThis position can sit in a DRW office in Chicago, New York, or Austin or be fully remote.\n\nThe annual base salary range for this position is $200,000 to $250,000, depending on the candidate’s experience, qualifications, and relevant skill set. Base salary is only a portion of total compensation, which may also include variable compensation and/or benefits.\n\nFor more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.\n\n California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.\n\n#LI-JL1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Testing and Cloud jobs that are similar:\n\n $55,000 — $90,000/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\nChicago, Illinois, United States

\nArcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.\n \nWhy This Role Is Important To Arcadia\n \nThe Arcadia Data Engineering team onboards and supports the data feed integrations between Client Claim and Clinical data management platforms and our Healthcare Solution Platform. Our customers are top Healthcare providers and payers, and we help them integrate their internal systems with our analytic platform. The Data Engineering team is responsible for the data architecture that drives the partnership with customers and other internal organizations to drive success through adoption of cutting edge analytic solutions that leverage new age technologies and best practices. Our Data Engineers require both SQL Database knowledge and design , along with multiple programing languages.\n \nAs a Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client Claim and Clinical data platforms and our analytic health solution platform. Your efforts will be critical to driving the long-term partnership between Arcadia and our customers.\n \nWhat Success Looks Like:\n \nIn 3 months\n- Learn the different areas of the data connector life cycle, while having a working knowledge of the technical stacks , storage platforms , data models , and Dev. Cycle\n- Work within Data Engineering Scrum team\n- Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)\n \nIn 6 months\n- Properly contribute to scrum ceremonies and ceremonies within the dev cycles while successfully updating status and progress in Jira  \n- Work on higher level enhancement requests and ingestion pipelines\n- Ability to Deliver Data related Reviews to clients and other departments regarding code quality and test cases.\n- Set your own personal vision of development and career aspirations and set a working path forward with leadership to work on how we can help you attain those goals   \n \nIn 12 months \n- Developing a range of data pipelines with varying complexity\n- Work with Product, Engineering or Implementation to build out tools for better data integration\n- Pick an SME (Subject Matter Expert) path for what excites you the most\n- Working on standardized data connector development\n\n\n\nWhat You'll Be Doing\n* Design and documentation of connectors / ingestion pipelines\n* Build and Unit testing of delivery connectors / ingestion pipelines\n* Support of our processes in partaking in peer code reviews , sprint planning , product grooming , maintaining Jira tasks and peer test reviews\n* You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers.\n\n\nThe expectations of the day to day of an engineer is as follows:Delivery\n* Responsible for delivery of work on expected timelines.\n* Able to identify risk to project success and communicate to leadership\n* Works mostly independently on delivery w/decreasing involvement from engineering and more senior team members\n* Consistently deliver increasing connectors of increasing quality with "lessons learned" incorporated into next project\n* Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work\n\n\n Technical Domain Knowledge:\n* Working and growing knowledge of new tech stack with less focus on finding efficiency in the technology and greater focus on understanding use of it.\n* Developing ability to understand technical issues and communicate potential solutions to team members or engineering team\n\n\nBusiness Domain Knowledge:\n* Developing working knowledge of the business of healthcare data and how it interacts within the Arcadia products\n* Understanding of shared value contracts that our customers are in and how data is impacted by them\n* Developing knowledge of industry data expected values such as PMPM by LOBs, MM trends, etc.\n\n\nCommunication Skills:\n* Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary\n\n\nTeam Projects:\n* Responsible for contributing to the advancement of team processes and internal\n\n\n\nWhat You'll Bring\n* Experience Level 2-5 years post-grad with relevant industry experience or graduate level Degree.\n\n TECH\n* As a data engineer you will be expected to problem solve some basic coding issues and enhancements with frameworks that are built in Spark Scala, while also leveraging technical skills to partake in idea sessions on process improvement and POC design of how to carry out a solution. \n\n\n\n* SQL: 2-4 year (Preferred)\n* Spark: 1-2 years (Preferred)\n* NoSQL Databases: 1-2 years (Preferred)\n* Database Architecture: 2-3 years (Preferred)\n* Cloud Architecture: 1-2 years (Preferred)\n\n\nDATA\n* As a data engineer you will be expected to problem solve some basic data analysis issues and work the data to create analytic enhancements.\n* Healthcare Data: 2-4 years (Preferred)\n* Healthcare Analytics: 1-3 years (Preferred)\n\n\n\nWhat You'll Get\n* Chance to be surrounded by a team of extremely talented and dedicated individuals driven to succeed\n* Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care\n* A flexible, remote friendly company with personality and heart\n* Employee driven programs and initiatives for personal and professional development\n* Be a member of the Arcadian and Barkadian Community\n\n\n\n\n\n\nAbout Arcadia\nArcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.\n\n\nProtect Yourself\nIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.\n\n\nThis position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/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\nRemote

\nArcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.\n \nWhy This Role Is Important To Arcadia\n \nThe Arcadia Data Engineering team onboards and supports the data feed integrations between Client Claim and Clinical data management platforms and our Healthcare Solution Platform. Our customers are top Healthcare providers and payers, and we help them integrate their internal systems with our analytic platform. The Data Engineering team is responsible for the data architecture that drives the partnership with customers and other internal organizations to drive success through adoption of cutting edge analytic solutions that leverage new age technologies and best practices. Our Data Engineers require both SQL Database knowledge and design , along with multiple programing languages.\n \nAs a Senior Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client Claim and Clinical data platforms and our analytic health solution platform. Your efforts will be critical to driving the long-term partnership between Arcadia and our customers.\n \nWhat Success Looks Like:\n \nIn 3 months\n- Learn the different areas of the data connector life cycle, while having a working knowledge of the technical stacks , storage platforms , data models , and Dev. Cycle\n- Work within Data Engineering Scrum team\n- Set to work on new ingestion pipelines with full bandwidth available (as formal training will end)\n \nIn 6 months\n- Properly contribute to scrum ceremonies and ceremonies within the dev cycles while successfully updating status and progress in Jira  \n- Work on higher level enhancement requests and ingestion pipelines\n- Ability to Deliver Data related Reviews to clients and other departments regarding code quality and test cases.\n- Set your own personal vision of development and career aspirations and set a working path forward with leadership to work on how we can help you attain those goals   \n \nIn 12 months \n- Developing a range of data pipelines with varying complexity\n- Work with Product, Engineering or Implementation to build out tools for better data integration\n- Pick an SME (Subject Matter Expert) path for what excites you the most\n- Working on standardized data connector development\n\n\n\nWhat You'll Be Doing\n* Design and documentation of connectors / ingestion pipelines\n* Build and Unit testing of delivery connectors / ingestion pipelines\n* Support of our processes in partaking in peer code reviews , sprint planning , product grooming , maintaining Jira tasks and peer test reviews\n* You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers.\n\n\nThe expectations of the day to day of a senior engineer is as follows:Delivery\n* Responsible for delivery of work on expected timelines.\n* Able to identify risk to project success and communicate to leadership\n* Works mostly independently on delivery w/decreasing involvement from engineering and more senior team members\n* Consistently deliver increasing connectors of increasing quality with "lessons learned" incorporated into next project\n* Able to apply critical thinking and problem solving skills to propose solutions for complex problems within day to day work\n\n\n\n* Technical Domain Knowledge:\n* Working and growing knowledge of new tech stack with less focus on finding efficiency in the technology and greater focus on understanding use of it.\n* Developing ability to understand technical issues and communicate potential solutions to team members or engineering team\n\n\nBusiness Domain Knowledge:\n* Developing working knowledge of the business of healthcare data and how it interacts within the Arcadia products\n* Understanding of shared value contracts that our customers are in and how data is impacted by them\n* Developing knowledge of industry data expected values such as PMPM by LOBs, MM trends, etc.\n\n\nCommunication Skills:\n* Developing internal and external professional communication skills including presentation of issues using appropriate industry vocabulary\n\n\nTeam Projects:\n* Responsible for contributing to the advancement of team processes and internal\n\n\n\nWhat You'll Bring\n* Experience Level 5-7 years post-grad with relevant industry experience or graduate level Degree.\n\n TECH\n* As a data engineer you will be expected to problem solve some basic coding issues and enhancements with frameworks that are built in Spark Scala, while also leveraging technical skills to partake in idea sessions on process improvement and POC design of how to carry out a solution. \n\n\n\n* SQL: 4-7 year (Preferred)\n* Spark: 2-4 years (Preferred)\n* NoSQL Databases: 2-4 years (Preferred)\n* Database Architecture: 3-5 years (Preferred)\n* Cloud Architecture: 2-4 years (Preferred)\n\n\nDATA\n* As a data engineer you will be expected to problem solve some basic data analysis issues and work the data to create analytic enhancements.\n* Healthcare Data: 5-7 years (Preferred)\n* Healthcare Analytics: 3-6 years (Preferred)\n\n\n\nWhat You'll Get\n* Chance to be surrounded by a team of extremely talented and dedicated individuals driven to succeed\n* Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care\n* A flexible, remote friendly company with personality and heart\n* Employee driven programs and initiatives for personal and professional development\n* Be a member of the Arcadian and Barkadian Community\n\n\n\n\n\n\nAbout Arcadia\nArcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.\n\n\nProtect Yourself\nIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.\n\n\nThis position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/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\nRemote

\nBuild and support self-serve tools for data exploration and analysis. Create and maintain data pipelines that enrich the data lake, data warehouse and drive critical business reports. Ensure data pipelines are robust and fault tolerant in order to have accurate data delivered in a timely manner. Build and maintain data models used by data consumers. Encourage software engineering best practices on the Analytics Engineering team. Coordinate and support data requests. Scale existing software system to meet the extraordinary application demand. Work in a cross-functional team to ensure data quality for all data consumers. Develop testing framework for data products. Build relationships with data consumers in order to ensure data quality across the organization. Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Lead new initiatives from conception to delivery to bring new features to the Analytics Platform. Work with leadership to identify opportunities that drive business value. Conduct performance tuning, troubleshooting and optimization of data solutions to improve system performance and stability. Stay current with industry trends and technologies and find ways to incorporate them into the Analytics Platform. Be a mentor and resource for colleagues. Position allows telecommuting from anywhere in the U.S. Salary: $139,464 - $191,500 per year. \n \nMinimum Requirements: Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field plus 5 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. 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 Computer Science, Computer Engineering, Information Technology, or a related field, plus 3 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. Must also have experience in the following: 3 years of professional experience performing analytic software engineering (including planning, analyzing, designing, developing, implementing, testing and maintaining software systems or applications); 3 years of professional experience with data modeling and data warehousing concepts; 2 years of professional experience with SQL, including optimizing queries against large data sets on a petabyte scale; 2 years of professional experience with Python 3.x; 2 years of professional experience using big data technologies including Spark, Databricks EMR, Snowflake, Hive, Hudi, Delta, or Hadoop; and 2 years of professional experience writing ETL data workflows.\n \nPlease email resume to: [email protected]. Please specify ad code HDLL\n\n\n\n\n$139,464 - $191,500 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.\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \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, Testing, Senior and Engineer jobs that are similar:\n\n $50,000 — $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\nDallas, Texas