Design, build, and maintain scalable ETL pipelines and data warehouse architecture using BigQuery, Databricks, and GCP. Ingest and transform high-volume data from Postgres, REST APIs, and other sources, improve reporting, create reusable code and tests, and collaborate in an Agile/SCRUM environment.
Bitwave is a rapidly expanding startup that specializes in software for businesses that use digital assets and crypto. Our platform provides cryptocurrency accounting, tax tracking, bookkeeping, digital asset treasury management, crypto AR / AP tooling, and we recently added full DeFi support (lending pool, liquidity pools, NFTs, etc).
Responsibilities- Use Google Big Query and GCP Suite or similar big data tools to deliver on datawarehouse and reporting requirements
- Use with Databricks and similar ETL tools to perform data extract and transformation of high volume (10’s of millions) of records
- Architect, Design, and Build pipelines to move large amounts of data from variety of sources (postgres DBs, REST APIs, Databricks etc)
- Improve existing data warehouse architecture to enable robust user facing and internal reporting
- Handle large amounts of data and complex integration processes
- Build reusable code and libraries for future use
- Expertise with Firestore a plus
- Expertise with Typescript, JavaScript, SQL, Python or similar languages
- 5+ year’s experience in programming primarily around JavaScript, SQL, Python
- Experience in Web3, dapps is a plus
- Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery
- Expertise in ETL tools, data extraction, storage and transformation
- Expertise in writing and consuming web services
- Strong experience working in Agile environment and understanding of SCRUM process, CI / CD, GCP
- Strong written and verbal communication skills
- Bachelor’s degree in Computer Science or related discipline
- Interest in digital assets, decentralized finance, and cryptocurrencies
- Be passionate about software quality, writing your own tests, and more
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.
Top Skills:
DatabricksKafka
Fintech • Insurance • Machine Learning • Analytics • Financial Services • Automation
Build and maintain reliable data pipelines, Airflow DAGs, and Snowflake-based Data Vault/warehouse models. Implement CI/CD, automated testing, observability, and production support while partnering with stakeholders and developing insurance domain expertise.
Top Skills:
Apache AirflowBigQueryCi/CdClaude CodeCursorData Observability ToolingData Vault 2.0PythonRbacRedshiftSnowflakeSnowflake CortexSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.
Top Skills:
Amazon Web Services (Aws)Azure Data FactoryDatabricksSnowflake
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory


.png)