Note: The job is a remote job and is open to candidates in USA. Enlyte combines innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents through industry-leading solutions and services. The Senior Database Engineer will lead the design and development of data infrastructure, pipelines, and architecture supporting analytics and decision-making. The role also establishes engineering standards, partners with stakeholders, provides technical direction, and mentors team members.
Responsibilities
- Build and maintain production data pipelines using Snowflake and dbt to integrate and transform critical data from various sources (e.g. SQL Server, Oracle, PostgreSQL, Salesforce)
- Design and establish our core data architecture, defining the patterns and frameworks that production pipelines will follow as the team grows
- Partner with business stakeholders to identify and prioritize high-value data integration opportunities that deliver immediate business impact
- Establish and enforce engineering standards through documentation, design reviews, and code reviews
- Make strategic technology and governance recommendations, implementing frameworks that balance immediate needs with long-term scalability
- Mentor and lead team members as the department grows
- Lead proof-of-concepts and MVPs that demonstrate value and secure buy-in for larger data initiatives
Skills
- 6+ years of hands-on experience building data infrastructure and pipelines in production cloud environments
- Expert-level proficiency in SQL, including performance tuning and complex window functions
- Strong working knowledge of Python for data pipeline development and automation
- Deep technical experience with modern data stack technologies including Snowflake, dbt, data ingestion tools (e.g. Snowflake Openflow, Fivetran), orchestration tools (e.g. Dagster, Airflow), AI-assisted development (e.g. Snowflake CoCo, GitHub CoPilot)
- Extensive work with OLTP databases (e.g. PostgreSQL, Oracle, SQL Server), with strong understanding of the differences between OLTP and OLAP systems
- Demonstrated ability to work with AWS cloud services for data workloads (S3, IAM, networking, Lambda, or similar)
- Experience defining and enforcing CI/CD practices for data pipelines (e.g. automated testing, version control workflows, deployment patterns)
- Experience with data modeling (Star Schema, One Big Table, Data Vault, or similar)
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and influence technical direction across teams
- Self-directed problem-solver who thrives in ambiguity, builds from the ground up, and influences across organizational boundaries without formal authority
- Bachelor's degree in Computer Science, Data Engineering, or a related technical field
- Experience with Medallion Architecture
- Experience with using containerization technologies such as Docker and Kubernetes to deploy and manage data applications
- Experience with analytics platforms like Hex and/or BI tools such as Power BI or Tableau
- Experience being an early/founding member of a data team with demonstrated success scaling the function
- Prior experience evaluating and selecting tools/vendors for a data platform
- Understanding of the insurance industry, particularly workers' compensation or P&C insurance
Benefits
- Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living.
- Benefits eligibility may differ depending on full-time or part-time status.
Company Overview