Systems Engineer, Data and Insights

What you'll do

• Develop and maintain data-driven and AI-enabled solutions for Finance and Legal teams.
• Write high-quality SQL and PySpark code in Databricks for complex data transformations and modeling.
• Build and optimize Databricks pipelines to support scalable batch and near real-time data processing.
• Partner with data science teams to productionize AI/ML and LLM-based solutions and feature pipelines.
• Create automated workflows and agents using Glean and Genie to transform business processes.
• Troubleshoot and resolve full-stack production issues while performing root cause analysis.
• Define technical patterns, architecture choices, and best practices for SQL, Databricks, and AI integrations.
• Create and maintain comprehensive technical documentation for software and data solutions.

What we're looking for

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field (or equivalent experience).
• 2–5 years of systems engineering experience delivering data-intensive and analytics-focused solutions.
• Proficiency in SQL, Python/PySpark, and cloud data platforms such as Databricks.
• Experience with complex SQL queries, user-defined functions, and performance tuning for large datasets.
• Hands-on experience building or configuring AI agents in platforms like Glean, Genie, or IDE-based tools.
• Ability to author Markdown-based skill/rule files and familiarity with Model Context Protocol (MCP) patterns.
• Strong problem-solving skills to translate complex technical challenges into actionable steps.
• Excellent written and verbal communication skills for collaborating with both technical and non-technical stakeholders.