Lead Data Engineer (Python, AWS, SQL, Snowflake, Databricks)

Title: Lead Data Engineer (Python, AWS, SQL, Snowflake, Databricks)
Location: Plano, TX | Onsite three days per week
Duration: 7 Months

Job Description:
At client, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about data, data modeling, data quality, governance, permissible use, and building data pipelines with emerging technologies.


Project: As a lead data engineer, you will have the opportunity to work on the CODE Metrics team developing a developer productivity metrics platform used by engineers across the enterprise to measure developer effectiveness and happiness.

What You'll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
• As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems
• Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks
• Optimize information systems for end-users and downstream application consumers by using sound data design practices
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

Tech Stack: Data Engineering skillset

• 10+ years experience in application development using Python and SQL
• 5+ years experience with public cloud: AWS, GCP, Azure
• 5+ years experience with distributed data/computing tools (MapReduce, Hadoop, EMR, Kafka, Spark).
• 5+ years experience working with real-time data and streaming applications.
• 5+ years experience with data warehouses and services (Snowflake, Databricks, Redshift)
• 5+ years experience with data modeling for data warehousing
• Experience leveraging interactive AI tooling (Claude Code, Windsurf, GitHub Copilot) to accelerate software delivery

Nice to Have:

• Cube for semantic data layer
• Tableau/Quick for BI