Remote Data Engineering Manager: Lead Scalable Platforms

Harnham

Austin (TX)

Remote

USD 198,000 - 242,000

Full time

7 hours ago
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Benefits offered by this job

Comprehensive benefits
Remote work within US

Job summary

Harnham is seeking a Data Engineering Manager to lead a team building scalable, cloud-based data platforms and customer data integration solutions. This fully remote leadership role offers strategic impact, mentorship, and shaping a modern data ecosystem.

The ideal candidate has 12+ years in data engineering and 5+ years leading teams, with strong SQL/Python and experience with Airflow, dbt, and related tooling. Competitive compensation and comprehensive benefits are included.

Qualifications

  • 12+ years of data engineering experience with leadership responsibilities.
  • 5+ years of managing data engineering teams, mentoring engineers.
  • Strong hands-on SQL, Python, ELT pipelines, and modern data architectures.
  • Experience with orchestration and transformation tools such as Airflow, Astronomer, Dagster, dbt.

Responsibilities

  • Lead and develop a high-performing Data Engineering team with mentorship and direction.
  • Oversee design and delivery of scalable data platforms, ELT pipelines, and data integration.
  • Drive modernization across data architecture, tooling, and engineering practices.
  • Partner with stakeholders to translate requirements into scalable solutions.
  • Establish engineering standards, practices, and quality processes.
  • Lead data quality, validation, observability, profiling, and monitoring efforts.
  • Evaluate AI-enabled solutions to improve productivity and automation.
  • Build and execute data roadmaps supporting customer needs and growth.

Skills

SQL
Python
ELT pipelines
Modern data architectures
Mentoring
Stakeholder communication

Tools

Airflow
Astronomer
Dagster
dbt

Job description

Harnham is seeking a Data Engineering Manager to lead a team building scalable, cloud-based data platforms and customer data integration solutions. This fully remote leadership role offers strategic impact, mentorship, and shaping a modern data ecosystem.

The ideal candidate has 12+ years in data engineering and 5+ years leading teams, with strong SQL/Python and experience with Airflow, dbt, and related tooling. Competitive compensation and comprehensive benefits are included.

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