Data Engineer

Data Engineer

Remote

Indent: SF_OP_207718-6

Qualifications:

• 5+ years working as a database engineer or in a related role.
• Bachelor's in Computer Science strongly preferred.
• Strong SQL expertise. You can write a query to do almost anything.
• Experience with Python strongly preferred.
• Hands-on experience using AI coding assistants and Developer Productivity tools (e.g., Cortex, Code Assist, Claude Code) for coding, debugging, and SQL generation.
• Strong AI literacy: Ability to effectively prompt, validate, debug, and audit AI-generated code and SQL queries for accuracy, efficiency, and security.
• ETL experience is a must, DBT preferred.
• Experience with data warehouse platforms, Snowflake preferred.
• Understanding of various raw data sources (flat file, ODBC, XML, JSON) and data flows from raw to warehouse formats.
• Understanding of common data warehouse best practices.
• Experience working in production systems.
• Must comply with HIPAA rules and regulations (including safe usage guidelines for AI tools when handling sensitive data or proprietary schemas).
• Experience with both MySQL and Microsoft SQL Server.
• Experience developing data-driven healthcare applications including payer claims / attribution models strongly preferred.
• A strong desire to learn new technologies and adapt to AI-assisted development workflows.
• Willingness to accept input from anyone on the team.
• Ability to manage multiple priorities in a fast-paced, dynamic environment.
• Strong attention to detail.
• Growth mentality, motivated to develop into a key member of the team.
• Strong problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work and thrive in a strong team environment.
• Adaptable and flexible.

Responsibilities

• Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance.
• Leverage AI coding assistants (e.g., Cortex, Code Assist, Claude Code) to accelerate code generation, optimize SQL/Python scripts, write automated tests, and streamline refactoring.
• Contribute in all phases of the development lifecycle.
• Write well-designed, testable, efficient code—combining human code review with AI-generated suggestions to ensure security and maintainability.
• Identify opportunities to make our database faster by running diagnostics, optimizing queries, building indexes, and performance tuning.
• Test and track bugs at the raw data level, utilizing AI debugging and root-cause analysis tools to identify data quality issues faster.
• Work in an Agile development process and tools (JIRA/git/etc.). You can address bugs with QA, plan schemas with the rest of the engineering team, and respond quickly to other business needs.
• Troubleshoot potential issues proactively.
• Database tuning.
• Work with stakeholders to gather requirements and break down work into manageable tasks.
• Actively experiment with new AI tools and workflows to improve personal and team engineering velocity.
• Other duties as assigned.