Senior Data Engineer; Solana
Listed on 2026-01-12
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IT/Tech
Data Engineer
Location
New York
Employment TypeFull time
Location TypeRemote
DepartmentEngineering
Compensation- $160K – $200K
Blockworks is an information platform that sits at the center of the crypto industry. We transform raw, complex data and facts into actionable research, trusted news, alpha-driven insights, and world-class events. The result is transparency and confidence. We enable investors, operators, and institutions to see past the noise, make better decisions, and drive the industry forward.
Who You Are:Software engineering is your passion and you have special talents focused on data architecture, design and infrastructure. You are a player-coach and someone who understands the technical and human elements that go into great software design. You have a results-oriented attitude and a passion for delivering flawless releases and developing digital data pipelines. You have a proven track record facilitating engineering teams to increase productivity and quality.
You’re excited at the possibility of helping design and develop our data pipelines as well as leading leading our Solana data-related projects and strategies. You love moving quickly in a fast-paced start-up, but you also bring intentionality, sustainability and scalability to your approach as an engineer.
What You’ll Do:As our Senior Data Engineer
, you will be directly responsible for leading the creation and execution of our data models and strategies that feed our product. You’ll work collaboratively with other members of the engineering team to design, develop, implement, and evolve our data pipeline and approaches.
Every day will look a little different, but in general, you will do things like:
Own Data Sourcing Pipelines: You’ll be responsible for helping to architect our data warehousing, ingestion and sourcing strategy, working with multiple SDKs to aggregate data from various sources into Blockwork’s own data warehouse.
Design and Implement ETL Solutions: You’ll be responsible for implementing our overall ETL approach, including accessing & setting up blockchain nodes to pull from, sourcing data from 3rd parties, and modeling our internal schemas across our Postgre
SQL database(s)Grow Shared Knowledge: You’ll help provide technical leadership, guidance, and assistance to the team in the implementation of established architectures and designs.
Drive Operational Efficiency: You’ll be constantly looking for opportunities to improve data workflows and reliably automate routine tasks.
Cross-Functional Collaboration: You’ll work with other teams across Blockworks, including Research, Product, and Engineering, to lead initiatives and move collaborations forward.
Experimentation is frequent fortability with being uncomfortable is a must.
What You’ve Done Before:For this role, first and foremost, you must have significant knowledge of the crypto industry; interest in crypto is not enough, we’re looking for someone who considers themself crypto native. You have at least 4 (but ideally more) years of hands-on experience with data modeling, schema design, data operations, and data warehousing. During that time, you’ve personally built backend systems at scale with a focus on data processing and ingestion.
You’re an ace at Typescript, Go, and/or Python, and you bring incredibly strong expertise in SQL (ideally Postgres, dbt, and Hypertables). You have deep experience creating data warehouses using Timescale, Snowflake, and/or Big Query, and you also bring experience using Dev Ops tools and solutions like Docker, CI/CD, and AWS.
Experience and demonstrated success in crypto, web3, startup, or incubator environments will move you to the top of the list. A background in designing, building, and managing microservices will also set you apart, especially if you bring expertise in security, privacy, and scalability. We’re especially interested in candidates who can pair technical depth with an ability to thrive in high-growth, fast-paced settings.
What will truly make you stand out is hands-on experience with Solana. If you’ve built and operated Solana ingestion pipelines using RPC, Websocket, or Geyser with resilience…
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