Senior Data Engineer
New
J
JobgetherInsurance
Remote work opportunity for employees living and working in the United States, excluding U.S. territories.Full-TimeSenior
Salary$140,000–$175,000 USD
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Job Details
- Experience
- 5+ years of experience as a Software Engineer or Data Engineer
- Required Skills
- PythonSQLApache AirflowSnowflakeCI/CDData modeling
Requirements
- 5+ years of experience as a Software Engineer or Data Engineer with a strong focus on data systems.
- Advanced proficiency in complex SQL and experience working with large structured and semi-structured datasets.
- Strong proficiency in Python for developing production-grade data pipelines.
- Hands-on experience administering Snowflake, including warehouse management, RBAC, access controls, and cost governance.
- Demonstrated experience designing and implementing modern data warehouses using platforms such as Snowflake, Amazon Redshift, or Google BigQuery.
- Experience with Data Vault 2.0 is strongly preferred; deep dimensional modeling experience is also relevant.
- Proven experience using testing frameworks to validate data pipelines and production code.
- Hands-on experience with data observability tools and practices.
- Proficiency using AI-powered coding assistants such as Claude Code, Cursor, or Snowflake Cortex.
- Track record of independently leading technical projects from initial scoping through delivery without relying on a Product Manager.
- Strong understanding of data reliability, governance, privacy, security, and operational best practices.
- Comfortable working in regulated environments, including those involving SOX-relevant financial reporting.
Responsibilities
- Develop complex, efficient data pipelines that transform raw sources into reliable, well-tested components of enterprise data models.
- Design, build, and maintain resilient pipelines that provide accurate, trusted data with the freshness required by business and technical stakeholders.
- Make data modeling decisions within a Data Vault 2.0 architecture.
- Administer and optimize Snowflake environments, including warehouse sizing, query performance, and access controls.
- Build and maintain resilient Apache Airflow DAGs and CI/CD pipelines.
- Implement automated unit, integration, and data-quality testing.
- Own production observability through internal tooling, including alert tuning and incident response.
- Lead technical projects end-to-end, including scoping, requirements documentation, and stakeholder communication.
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