Senior Data Engineer - Enterprise Pipelines (Hybrid)

Harnham; Austin (TX); Hybrid; USD 150,000 - 170,000; Full time

Job summary

Harnham is seeking an experienced Data Engineer to build and maintain enterprise data pipelines, transformations, and models to support analytics and reporting. This role combines hands-on engineering with operational ownership across data quality, lineage, and monitoring.

The ideal candidate has strong SQL and Python skills, hands-on dbt experience, and a track record delivering scalable data solutions in enterprise environments.

Qualifications

• 6+ years of experience in Data Engineering, Data Platform Development, or Analytics Engineering.
• Strong proficiency in SQL and Python.
• Hands-on experience with dbt.
• Experience building and maintaining ETL/ELT pipelines and data transformations.
• Strong understanding of data modeling and enterprise data platforms.
• Experience developing data solutions that support enterprise reporting and analytics.
• Knowledge of data quality frameworks, automated validation, reconciliation, and monitoring.
• Understanding of data lineage, metadata management, documentation, and operational best practices.
• Strong analytical, problem-solving, and critical-thinking skills.
• Effective written and verbal communication skills.
• Ability to work independently while collaborating across technical and business teams.

Responsibilities

• Design, develop, and maintain scalable data pipelines, transformations, models, and workflows across the enterprise data layer.
• Build and operate automated data jobs that support analytics, reporting, and data science initiatives.
• Establish engineering best practices for data pipelines, modeling, data quality, lineage, metadata management, documentation, and operational monitoring.
• Develop automated data quality checks, reconciliations, validation processes, and alerting to maintain data integrity.
• Monitor critical datasets for accuracy, completeness, and timeliness across enterprise platforms.
• Identify and resolve data quality issues and improve the reliability of data products.
• Support sprint planning, backlog prioritization, and execution across multiple data initiatives.
• Partner with Analytics, Operations, and Business stakeholders to understand requirements and deliver reliable data solutions.
• Document data processes, transformations, and workflows to support transparency and maintainability.
• Contribute to the ongoing improvement of enterprise data platform architecture and engineering practices.

Skills

SQL

Python

Tools

dbt

Job description

Harnham is seeking an experienced Data Engineer to build and maintain enterprise data pipelines, transformations, and models to support analytics and reporting. This role combines hands-on engineering with operational ownership across data quality, lineage, and monitoring.

The ideal candidate has strong SQL and Python skills, hands-on dbt experience, and a track record delivering scalable data solutions in enterprise environments.