Data Engineering Manager

Harnham; Austin (TX); Remote; USD 198,000 - 242,000; Full time

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

100% Remote - United States
Salary: Up to $220,000 base + Comprehensive Benefits
U.S. Citizens or Green Card Holders Only
No Sponsorship Available Now or in the Future

A rapidly growing technology organization focused on delivering advanced data and analytics solutions is seeking a Data Engineering Manager to lead a team responsible for building scalable, cloud-based data platforms and customer data integration solutions. This is a fully remote leadership opportunity where you'll drive technical strategy, mentor engineers, and help shape the future of a modern data ecosystem.

What You’ll Be Doing

• Lead and develop a high-performing Data Engineering team, providing mentorship, coaching, and technical direction.
• Oversee the design and delivery of scalable data platforms, ELT pipelines, and data integration frameworks.
• Drive modernization initiatives across data architecture, tooling, automation, and engineering practices.
• Partner with business and technical stakeholders to translate complex requirements into scalable solutions.
• Establish engineering standards, best practices, and quality processes to improve reliability and maintainability.
• Lead efforts around data quality, validation, observability, profiling, and monitoring capabilities.
• Evaluate emerging technologies, including AI-enabled solutions, to improve engineering productivity and automation.
• Build and execute data roadmaps that support both customer needs and long-term platform growth.

What We’re Looking For

• 12+ years of data engineering experience with increasing ownership and leadership responsibilities.
• 5+ years of experience managing or leading data engineering teams, including mentoring and developing engineers.
• Strong hands-on expertise with SQL, Python, ELT pipelines, and modern data architectures.
• Experience with orchestration and transformation tools such as Airflow, Astronomer, Dagster, dbt, or similar technologies.
• Proven background designing scalable data platforms and modernizing legacy environments.
• Experience working with complex, imperfect data from multiple sources and building standardized data models.
• Strong understanding of data quality, governance, validation, and monitoring practices.
• Excellent communication skills with the ability to influence technical and business stakeholders.
• Healthcare, public sector, SaaS, or highly regulated industry experience is highly beneficial.

Why This Opportunity?

• 100% remote within the U.S.
• Opportunity to lead critical data initiatives with significant business impact.
• High visibility role influencing technology strategy and platform direction.
• Collaborative, growth-oriented culture with strong executive support.
• Competitive compensation, bonus potential, and comprehensive benefits package.

Desired Skills and Experience

• 12+ years of data engineering experience with increasing ownership and leadership responsibilities.
• 5+ years of experience managing or leading data engineering teams, including mentoring and developing engineers.
• Strong hands-on expertise with SQL, Python, ELT pipelines, and modern data architectures.
• Experience with orchestration and transformation tools such as Airflow, Astronomer, Dagster, dbt, or similar technologies.
• Proven background designing scalable data platforms and modernizing legacy environments.
• Experience working with complex, imperfect data from multiple sources and building standardized data models.
• Strong understanding of data quality, governance, validation, and monitoring practices.
• Excellent communication skills with the ability to influence technical and business stakeholders.
• Healthcare, public sector, SaaS, or highly regulated industry experience is highly beneficial.

Location: Fully Remote (U.S.)
Work Authorization: U.S. Citizen or Green Card Holder required. No sponsorship available.
Employment Type: Full-Time, Permanent