Senior Data Engineer
Build and operate Jump’s Snowflake and dbt data platform, including ELT pipelines, governance, testing, monitoring, and analytics models. The role requires 6+ years of data engineering experience, production-grade SQL and Snowflake expertise, deep dbt knowledge, and strong Python and software engineering practices.
About the job
Responsibilities
- Build and maintain ELT pipelines that transform raw data into modular, tested dbt models in Snowflake.
- Design and maintain reliable data orchestration and workflows.
- Write and maintain dbt tests, documentation, dependencies, and deployment processes.
- Build monitoring and alerting for pipeline failures and data anomalies.
- Optimize Snowflake table design and materialization strategies for performance and cost.
- Evolve Snowflake access controls and data governance, including roles and grants.
- Translate internal team and external client needs into durable data solutions.
- Apply software engineering practices including Git-based version control, CI/CD, and code review.
- Build data infrastructure and governance for AI/ML use cases.
Requirements
- 6+ years of data engineering experience.
- Ability to independently own complex data systems from design through production and make architectural tradeoffs.
- Strong product and stakeholder judgment, with the ability to translate ambiguous business needs into data solutions.
- Production-grade SQL and Snowflake expertise.
- Deep experience with dbt, including testing, documentation, dependencies, and deployment.
- Strong Python skills for data pipelines, orchestration, and custom transformations.
- Experience incorporating testing, monitoring, and alerting into data pipelines.
Nice to Have
- Familiarity with BI and analytics tools, ideally Sigma.
- Experience with orchestration and workflow tooling.
- Cloud platform experience.
- Experience supporting ML/AI pipelines.
- Experience with streaming and real-time data.
Compensation and Benefits
- Compensation: $190,000–$210,000, plus equity.
- Flexible paid time off.
- 401(k).
- Medical, dental, and vision plans.
- 16 weeks of paid parental leave for primary and secondary caregivers.
- $1,000 work-from-home technology reimbursement.
- $1,000 learning and development reimbursement.
- Company-paid sustainability subscription.
Skills
Snowflake, dbt, SQL, Python, Git, CI/CD, Data Orchestration, Data Governance, Sigma, Cloud Platforms, Machine Learning Pipelines, Streaming Data
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