Data Engineer

Harnham; Fort Worth, Arlington, Dallas (TX, TX, TX); Hybrid; USD 165,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading data consultancy is seeking a Lead Data Engineer in Fort Worth, Texas. The successful candidate will build high-performance data pipelines and migrate legacy systems into a cloud-native environment, enabling next-generation AI capabilities. The ideal candidate has strong experience with AWS, Python or Scala, and SQL, along with a background in developing cloud-based data solutions. This role offers competitive benefits including medical, vision insurance, and a 401(k) plan.

Qualifications

• 5+ years of data engineering experience, with 8+ preferred.
• Recent hands-on experience building cloud-based pipelines in AWS.

Responsibilities

• Build and maintain high-performance data pipelines.
• Develop data transformations and ingestion frameworks.
• Bridge legacy systems to cloud-native platforms during migration.
• Design data foundations for AI and machine learning.

Skills

AWS

Python (or Scala)

SQL

Workflow orchestration (e.g., Airflow)

Tools

Terraform

Apache Iceberg

PySpark

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$165,000.00/yr - $180,000.00/yr

Direct message the job poster from Harnham

Are you excited about building modern data platforms from the ground up? This is a rare opportunity to join a large enterprise at the very beginning of a full‑scale data transformation.

We’re seeking a Lead Data Engineer to help migrate a legacy, on‑premise data warehouse into a modern, cloud‑native environment while enabling next‑generation AI and agentic AI capabilities across the business.

What You’ll Do

• Build and maintain high-performance data pipelines
• Develop data transformations and ingestion frameworks in code
• Help bridge legacy systems to cloud‑native platforms during migration
• Design data foundations that power AI and machine learning use cases

What We’re Looking For

You should bring strong, hands‑on experience with:

• AWS
• Python (or Scala)
• SQL
• Workflow orchestration (e.g., Airflow)

Nice-to-Have Experience

• Infrastructure as code (Terraform)
• Modern table formats like Apache Iceberg
• PySpark or distributed data processing

Experience Level

• 5+ years of data engineering experience (8+ preferred)
• Recent hands‑on experience building cloud-based pipelines in AWS

  Why This Role?

  • High visibility, high‑impact work
  • Opportunity to shape the foundation of enterprise AI

  Seniority level

  Associate

  Employment type

  Full-time

  Job function

  Civil Engineering

  Benefits

  Medical insurance

  Vision insurance

  401(k)