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
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