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AWS Data Engineer (Databricks, AWS, Python)

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Onsite

AWS Data Engineer (Databricks, AWS, Python)

Josh Pros

AWS Data Engineer (Databricks, AWS, Python)

Skills

SQL QueriesPythonAWS LambdaKafkaSnowflakeAmazon RedshiftDatabricksData AnalysisAWSdbtPySparkAWS KinesisApache AirflowTerraform

1 month ago

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Important information


Contract type:

Freelance / Contract, Temporary

Location:

Houston, TX, USA

Work mode:

Onsite

Published on:

12 September 2026

What they need


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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