\nAbout Bitwise\nBitwise is a leading crypto asset manager, overseeing $12B in client assets through a diverse range of investment solutions, including ETFs, separately managed accounts, private funds, staking solutions, and hedge fund strategies. Trusted by thousands of financial advisors, family offices, and institutional investors, we empower our partners to navigate and seize opportunities in the crypto market.\n\n\nRecently, we raised a $70M funding round reinforcing our position as profitable, innovative leaders in digital assets. We're backed by top-tier investors like Electric Capital, MassMutual, Highland Capital, MIT Investment Management Company, Haun Ventures, ParaFi Capital, etc.\n\n\nWe're deeply committed to the crypto ecosystem, donating 10% of gross profits from our Bitcoin ETF (BITB) and Ethereum ETF (ETHW) to support open-source software developmentโcontributing over $250,000 last year alone to organizations like Brink, OpenSats, Protocol Guild, and PBS Foundation.\n\n\nOur lean engineering team is at the heart of our success, building cutting-edge solutions that drive critical company functions. You'll work closely with key stakeholders in a collaborative, high-impact environment where autonomy and adaptability are key.\n\n\nAt Bitwise, engineers are empowered to act as their own product managers, setting priorities, defining timelines, and delivering impactful solutions that push our business forward. Join us to shape the future of finance with code that matters.\n\n\n\nWhat You'll Do:\n* Build backend systems in a modern monorepo. Work hands-on in a TypeScript + Node.js codebase, designing and developing backend services that power APIs, job schedulers, and index calculation engines. You'll write clean, testable code that supports both real-time and batch processing.\n* Redesign and scale our job orchestration framework. Help the greenfield overhaul of our Node-based jobs infrastructure to create a fault-tolerant system supporting cron-like scheduling, DAG-based dependencies, and cross-language compatibility. Your work will enable scalable execution pipelines that are critical to our business operations.\n* Maintain and evolve our data pipeline. Own key pieces of our modern data stackโincluding Fivetran for ELT processes, DBT for transformations, and Snowflake for warehousingโensuring data integrity and quality for critical analytics purposes. You'll be responsible for the correctness and reliability of our data workflows.\n* Collaborate directly with leadership. Work closely with the CTO and business leaders in our tight-knit team to scope, prioritize, and ship improvements to internal tooling and backend systems. You'll help manage timelines and expectations while balancing long-term vision with immediate business needs.\n* Drive reliability and operational excellence. Join the on-call rotation, monitor system performance, and contribute to observability practices that keep our systems highly available and performant. You'll play a key role in incident response and infrastructure reliability.\n* Contribute to engineering culture. Participate in code reviews, design discussions, and sprint planning. You'll help set quality standards and mentor others through collaboration and example.\n\n\n\nWhat We're Looking For:\n* +5 years of real world software engineering experience\n* Proficiency in at least one modern backend language (e.g., TypeScript, Python, C++, Go, Java)\n* Experience with data pipelines, databases, and cloud platforms (e.g., Mongo, Snowflake, AWS, Heroku)\n* Familiarity with monitoring tools like Datadog and Sentry along with best CI/CD practices\n* (Plus) Experience designing and implementing fault-tolerant distributed systems\n* (Plus) Knowledge of job orchestration frameworks and DAG-based workflow systems\n* (Plus) Experience with modern ETL/ELT processes and data transformation tools\n* (Plus) Bachelorโs degree in Computer Science or equivalent\n\n\n\nWhat We Offer:\n* Competitive salary\n* Eligible for equity \n* Health, dental, vision insurance\n* 401K plan (company funded, no match required)\n* Unlimited PTO plus 10 paid holidays\n* Meals/snacks in office\n* Paid cell phone or stipend\n* Bitwise "Buddy" Program (30 day onboarding)\n* Annual birthday/anniversary gifts\n* Company wide events\n\n\n\n\n\n$180,000 - $200,000 a yearEquity compensation as a component of all offers\n\nBitwise is an equal opportunity employer. We are committed to building a team of people with a variety of backgrounds, perspectives, and skills. It is the policy of Bitwise to ensure equal opportunity. All candidates are considered without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, ancestry, physical or mental disability, veteran status, or any other legally protected characteristics. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Crypto, Finance, Cloud, Executive, Senior, Engineer and Backend jobs that are similar:\n\n
$67,500 — $112,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nRemote
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When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
This job post is closed and the position is probably filled. Please do not apply. Work for Sift and want to re-open this job? Use the edit link in the email when you posted the job!
๐ค Closed by robot after apply link errored w/ code 404 1 year ago
\nThe Data Platform team is responsible for making Siftโs data accessible across a variety of users and use-cases. This team ensures the availability, correctness, and data privacy/ compliance of information critical for Siftโs day-to-day operations. Our customers include not just external clients but also Siftโs data science product teams, our sales, business support services and operations teams. We are super excited about our plans to build our next generation data analytics solution as we approach a phase where we start diving into reporting/visualization and real time accessibility to data across Sift.\n\nWhat youโll do:\n\nAs a Staff engineer on Siftโs Data Platform team, you will build data warehousing and business intelligence systems to empower our customers, engineers, data scientists and analysts to extract insights from our data. You will design and build Petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling. You will do data modeling and ETL enhancements to improve efficiency and data quality. Youโd enforce best practices on data governance to ensure compliance and data truncation/deletion responsibly. Youโd also have the opportunity to work with console reporting frameworks and build accessible dashboards for both monitoring as well as reporting. A strong staff engineer would also mentor other engineers and promote data engineering best practices across the team and the broader organization.\n\nWhat would make you a strong fit:\n\n\n2+ years of data modeling experience (Kimball, Imnon or Linstedt)\n\nExperience writing and optimizing complex ETL pipelines across multiple environments (Dataproc, Notebooks, Snowflake ELT.)\n\nExperience programming (SQL, Java, Python) and/or utilizing reporting tools (Looker, Tableau, Qlikview, PowerBI) \n\nExperience designing and building data warehouse, data lake or lake house solutions\n\nExperience with distributed systems and distributed data storage.\n\nExperience with large scale data warehousing solutions, like BigQuery, Snowflake, Redshift, Presto, etc.\n\nExperience working with real time streaming frameworks like Kafka / Kinesis / Spark / Flink\n\nExperience with data modeling, starting with API design through reporting solutions against it.\n\nStrong communication and collaboration skills particularly across teams or with functions like data scientists or business analysts.\n\n\n\n\nBonus points:\n\n\nPrior experience building and maintaining enterprise analytics environments, including exposure to sales, finance and marketing audiences. \n\nExperience with Python, Java, or similar OOPS languages\n\nExperience with cloud infrastructure (e.g. GCP, AWS)\n\nExperience with workflow orchestrators such as Airflow or Cloud Composer\n\nExperience with the analytics presentation layer (Dashboards, Reporting, and OLAP)\n\nExperience with designing for data compliance and privacy\n\n\n\n\nA little about us:\n\nSift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.\n\nThe Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But itโs not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.\n\nBenefits and perks:\n\n\nCompetitive total compensation package\n\n401k plan\n\nMedical, dental and vision coverage\n\nWellness reimbursement\n\nEducation reimbursement\n\nFlexible time off\n\n\n\n\nSift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.\n\nThis document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Analyst, Non Tech, SaaS, Accounting, Payroll, Education, Finance, Mobile, Senior, Excel, Legal, Design, Testing, Cloud, API, Backend, Shopify, Digital Nomad, Sales, Marketing and Engineer jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
Remote Data Science Undergraduate Internship Summer 2023
Internship Overview
The Home Depot's Summer Internship program offers college students an opportunity to develop leadership skills and gain hands on experience in a corporate environment. During an 11 - week period from May 15 - July 28, 2023, interns will be assigned to a functional team such as Supply Chain, Marketing, e-commerce, Technology, Finance, Operations, Merchandising, Outside Sales & Services, Human Resources, etc. Interns will learn more about our retail business and our corporate offices while having the opportunity to work on a pre-assigned project that impacts the function they are supporting. Additionally, interns participate in networking and development activities that set them up for success as they build their careers.
Data Science Intern Description
The Data Science Intern Program offers talented college students the opportunity to develop their advanced data science skills while supporting the Company's strategic objectives. Intern candidates are assigned to a project aligned to business areas such as e-Commerce, Merchandising, Operations or Finance. The Home Depot's internship program was recently named in the Top 20 in the US and offers college students an opportunity to develop leadership skills and gain hands on experience working with a number of leaders on projects that directly impact the business for one of the world's leading retailers. Data Science interns will focus on working with a variety of data science roles and functions to translate business questions into actionable insights and deliver high quality analytical solutions.
Tasks, Responsibilities, And Key Accountabilities Include
Business Collaboration
Participate in meetings across the enterprise data science community, gaining exposure to cross functional business units.
Build networking relationships and receive mentoring from team members and top-level management
Communicating Results
Communicate findings and project status clearly and professionally through presentations
Provide recommendations to upper management.
Provide comprehensive report-out to senior leaders on assignments and other related projects
Data Analytics
Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions
Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python
Description of Roles: (Career paths that utilize this skillset full-time)
Role
After the Internship, here are some examples of early career roles for interns with a background in Data Science
At The Home Depot, our associates always have room to move up and explore new opportunities.
Data Science Analyst
Associate Data Scientist
Data Scientist
Nature And Scope
Typically reports to Manager, Information Technology
No direct responsibility for supervising others.
Environment
Environmental Job Requirements:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel
Typically requires overnight travel less than 10% of the time.
Standard Minimum Qualifications
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Education Required
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
Years Of Relevant Work Experience
0 years
Physical Requirements
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Preferred Qualifications
Working knowledge of Microsoft Office Suite
Working knowledge of Tableau
Working knowledge of presentation software (e.g., Microsoft PowerPoint)
Currently pursuing a Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.)
Excellent academic performance
Experience in a modern scripting language (preferably Python)
Experience running queries against data (preferably with Google BigQuery or SQL)
Experience with data visualization software (preferably Tableau)
Exposure to statistics, predictive modeling and other data science methodologies
Knowledge, Skills, Abilities And Competencies
Ability to communicate issues and recommend solutions in a timely manner.
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.