Lead Data Engineer in Plano, TX (Hybrid & Onsite Interview)

Hi We have an urgent role of Must sit onsite in Plano, TX hybrid three days per week. Lead Data Engineer 12+ Month contract Plano, TX (Hybrid) Lead Data Engineer in Plano, TX (Hybrid & onsite interview) This is a Lead Data Engineer role with a heavy emphasis on modern cloud data engineering rather than traditional ETL development. The project (developer productivity metrics platform) makes it more attractive than a typical financial data warehouse position because it focuses on engineering analytics rather than banking data. The biggest challenge will be finding candidates who satisfy all of the following: • 10+ years Python • AWS • Snowflake • Databricks • Streaming (Kafka/Spark) • Data modeling • AI coding tools • Willing to work hybrid in Plano • Contract only Core Must-Haves Experience • 10+ years software/data engineering • Strong Python development • Advanced SQL • Lead-level experience mentoring engineers Cloud • AWS preferred • Azure or GCP acceptable if they also have AWS Data Platforms Must have experience with several of: • Snowflake • Databricks • Redshift Snowflake + Databricks together will likely be expected. Big Data Strong experience with • Spark • Kafka • Hadoop/EMR (less important today) Spark is probably the most important technology here. Data Engineering Need experience building • scalable pipelines • ELT/ETL • data quality • governance • data modeling • warehouse design Job Description: Lead Data Engineer (Python, AWS, SQL, Snowflake, Databricks) At Capital One, 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