Lead Data Engineer

Location: Houston Downtown(77002 Onsite) Full time direct hire job opportunity Salary range: 140K to 160K Must haves 5+ years as a Data Engineer focused on designing and maintaining data pipeline architectures. Programming: 5+ years of in-depth experience with Python and SQL (specifically T-SQL). Architecture: Proven track record in high-level data platform design, strategy, and implementation. This includes: Data modeling and scalable architectures. Data governance, security, and compliance. Cloud & Data Stack: Hands-on experience with AWS and Snowflake. Preferred Infrastructure: Experience with Infrastructure as Code (IaC) for building repeatable cloud environments. Industry Domain: Background in Midstream, Supply Chain Logistics, or Chemical Engineering. Software Engineering: 5+ years of full SDLC experience (version control, testing, refactoring, and deployment). Familiarity with Python packages: pandas, NumPy, PyArrow, Pytest, Scikit-Learn, and Boto3. Modern Data Tools: ELT/ETL tools: dbt and Airbyte. Orchestration & Containers: Apache Airflow and Kubernetes. Storage: S3 Object Storage and implementing Data Lakehouses (Apache Iceberg or Delta Lake). Commercial Systems: Familiarity with OpenLink or Quorum. This is a direct hire opportunity. The selected candidate will be employed directly by our client. All compensation and benefits, including but not limited to medical insurance, retirement plans, paid time off, and other perks, will be provided by the client in accordance with their internal policies and subject to applicable laws and eligibility requirements. #J-18808-Ljbffr Collabera