AWS Data Engineer (Databricks, AWS, Python)

Josh Pros LLC; Houston (TX); On-site; USD 83,000 - 131,000; Full time

Job summary

Josh Pros LLC is seeking an AWS Data Engineer for an onsite contract in Houston, TX. You will design, build, and operate large-scale data pipelines on AWS and Databricks, turning raw data into reliable, well-modelled datasets powering analytics.

Responsibilities include building batch and streaming ETL/ELT pipelines, developing Delta Lake tables, and tuning Spark/SQL for performance and cost, with a focus on data quality, observability, and CI/CD deployments.

Qualifications

• Must have AWS, Databricks, Python, PySpark and strong Spark performance tuning experience.
• ,

Responsibilities

• Build and maintain batch and streaming ETL/ELT pipelines using Databricks, PySpark, and Python.
• Develop and optimise Delta Lake tables and medallion 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.

Skills

AWS

Databricks

Python

PySpark

Spark tuning

SQL

Delta Lake

Unity Catalog

Medallion architecture

Kinesis

dbt

Airflow

Terraform

CloudFormation

CI/CD

Git

Observability

Data quality

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

Airflow

Terraform

CloudFormation

S3

Glue

EMR

Job description

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