AWS Data Engineer (Databricks, AWS, Python)

We are seeking an AWS Data Engineer for an onsite contract (W-2) engagement in Houston, TX. You will design, build, and operate large-scale data pipelines on AWS and Databricks, turning raw source data into reliable, well-modelled datasets that power analytics and downstream applications. Responsibilities: - Build and maintain batch and streaming ETL/ELT pipelines using Databricks, PySpark, and Python - Develop and optimise Delta Lake tables and medallion (bronze/silver/gold) architectures - Engineer data solutions on AWS using S3, Glue, EMR, Lambda, Redshift, Athena, Step Functions, and Kinesis - Model data for analytics and reporting; tune Spark jobs and SQL for performance and cost - Implement data quality checks, monitoring, alerting, and lineage across pipelines - Automate deployments with CI/CD and infrastructure-as-code; manage workflow orchestration - Partner with analytics, product, and business teams to deliver production-grade data products Work mode: This is a 100% onsite role in Houston, TX — no remote or hybrid option. Employment: Contract on our W-2 only. Candidates must hold independent work authorisation (no third-party employer or sponsorship arrangement). Rate depends on experience. Requirements: Must have: AWS Must have: Databricks Must have: Python Strong PySpark and Spark performance tuning experience Advanced SQL and dimensional/analytical data modelling Delta Lake, Unity Catalog, and medallion architecture experience AWS data services: S3, Glue, EMR, Lambda, Redshift, Athena, Step Functions, Kinesis Workflow orchestration (Airflow, Databricks Workflows, or similar) CI/CD, Git, and infrastructure-as-code (Terraform or CloudFormation) Data quality, observability, and pipeline monitoring practices Good to have: Snowflake, Kafka, dbt, streaming/real-time pipelines Bachelor's degree in Computer Science, Engineering, or a related field Work mode: onsite in Houston, TX (mandatory) Employment: our W-2 only — independent work authorisation required, no third-party or sponsorship