Senior Data Engineer, Reporting & Analytics
Senior data engineer building scalable data products, models, and governance processes. Focus on automation, performance optimization, and enabling self-serve analytics for a fast-growing SaaS company.
About the job
What you'll do
- Automate first! One of our core company values is automation
- Help build data products that will serve analytics needs, product and engineering services and ML models
- Optimize query performance, data ingestion and processing time
- Contribute to building the data modeling layer
- Build strong data governance processes
- Build solid data engineering training and documentation for all analysts so they can learn how to use, move and transform data with minimum data engineering assistance
- Interview, hire and train future data engineers
- Administrate data orchestration through modern tools concepts such as ETL, ELT, Reverse ETL etc.
What you'll bring
- 5+ years experience as a Data Engineer
- Fluent in writing analytical SQL, able to write complex queries with no assistance, understand the difference between SQL that works and performant SQL
- Fluent in Python
- Experience with some of the following platforms: Stitch/Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker/Mode/Sigma, Hightouch/Census
- Clear, concise communicator that works well with others
- Can explain complex data flows, datasets or queries to non-technical people in understandable ways
- Bonus: experienced with building ML pipelines
- Natural curiosity and investigative mindset
- Want to work in a fast, high-growth startup environment and thrive on both autonomy and collaboration
How we support you
- Shared Success: Stock equity
- Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage
- Financial Well-being: 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts
- Family Support: Paid Parental Leave policy, Kindbody fertility and family-building benefits
- Growth & Development: Generous annual stipends for professional and personal development
- Time Off & Flexibility: Flexible vacation policy, paid holidays
- Competitive base salary range: $151,700 - $205,300
- Stock in the form of RSUs
Skills
SQL, Python, Snowflake, dbt, Airflow, Fivetran, Airbyte, Looker, ETL, Reverse Etl
Similar jobs
Data Engineering jobs
tastytrade
Chicago, IL
Own the performance, availability, backup and recovery, upgrades, and observability of high-throughput PostgreSQL environments across on-premises infrastructure and Amazon RDS. The senior role requires production Patroni failover experience, deep PostgreSQL expertise, Linux fundamentals, software development proficiency, and strong documentation skills.
Gusto
Denver, COThe Senior Data Engineer will build scalable pipelines, ETL workflows, and data products while partnering with analytics, product, and engineering teams. The role requires 8–10+ years of experience, strong SQL and programming skills, cloud data-platform expertise, and a focus on reliability, quality, and automation.
Wrapbook
United StatesBuild and own Wrapbook’s analytics layer, including production pipelines, governed data models, canonical datasets, self-serve analytics, and monitoring. The role requires strong SQL and Python, modern warehouse experience, and 4+ years in data or analytics engineering.
Vanta
Remote
Senior Analytics Engineer responsible for designing complex data models, building scalable SQL pipelines, enabling AI tooling, and improving data infrastructure to support self-serve analytics, dashboards, and data science at Vanta. Requires 4+ years data experience, software engineering mindset, and expertise with modern analytics tools like dbt.
Underdog Fantasy
United States
Build and own the data platform powering regulatory reporting for a federally regulated prediction-markets business. The role combines dbt and SQL engineering, automated validation, root-cause investigations, audit support, and direct collaboration with regulators and compliance.