Senior Data Engineer
Harnham
Addison, TX · Posted October 28, 2026
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- #1Best cities for entry-level jobs that want AI skills in the Southwest16% · of 39
- #1Best cities for AI-skill jobs in the Southwest33% · of 44
- #1Best cities for director and executive jobs in the Southwest30% · of 44
- #2Best cities for pay after cost of living in the Southwest$155k · of 15
- #2Best cities for pay after cost of living in Texas$155k · of 8
- #3Best all-round cities for AI careers in the Southwest80 / 100 · of 15
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- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
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Pay compared with the market
This listing does not state pay. Across 101 open senior data engineer listings that state pay, the middle half runs $135,000 to $180,000 and the median is $157,500.
Listed pay is what employers advertise, not what people are paid.
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About the job
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Senior Data Engineer
Location: Dallas/Addison, TX (Hybrid – 3 Days Onsite)
Salary: $140,000-$160,000 Base
About the Opportunity
We are partnering with a growing, private equity-backed organization seeking a Senior Data Engineer to help build and scale its enterprise data infrastructure.
The company is undergoing a significant data modernization initiative, transitioning from fragmented systems and reporting environments to a centralized data platform built on Snowflake .
This individual will work alongside an external consulting partner during the initial implementation before taking full ownership of the backend data environment. This is an excellent opportunity for a hands-on engineer who enjoys building scalable solutions, driving data quality improvements, and working closely with business stakeholders.
Key Responsibilities
Lead the development, optimization, and ongoing management of the Snowflake data warehouse environment.
Partner with external consultants during implementation and transition into primary technical ownership of the platform.
Design, build, and maintain scalable ETL/ELT pipelines, data integrations, and transformations using SQL, Python, and modern data engineering tools.
Improve data integrity, consistency, and governance across multiple business systems and departments.
Collaborate with technical and nontechnical stakeholders to translate business requirements into scalable data solutions.
Support data architecture, modeling, documentation, and integration with BI platforms such as Domo.
Help establish data engineering best practices and support future analytics and AI initiatives.
Required Qualifications
7+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
Strong hands-on experience with Snowflake, SQL, and Python .
Experience building and maintaining ETL/ELT pipelines, data models, and warehouse environments.
Exposure to data warehouse implementations, migrations, or modernization projects.
Strong understanding of data quality, integration, and architecture best practices.
Ability to independently own technical projects and communicate effectively with nontechnical stakeholders.
Preferred Qualifications
Experience with dbt , Fivetran, or similar data transformation and ingestion tools.
Familiarity with Domo or other BI/reporting platforms.
Experience integrating data from ERP, operational, or field service management systems.
Background in smaller data teams, high-growth businesses, or PE-backed organizations.
Exposure to data governance, medallion architecture, or AI/ML infrastructure.
Why Consider This Opportunity?
Technical Ownership: Take ownership of a modern enterprise data platform from implementation through long-term development.
Greenfield Opportunity: Help shape the architecture, processes, and standards of a growing data environment.
Business Impact: Work directly with stakeholders and influence how data drives business decisions.
Growth Potential: Opportunity to expand into technical leadership and contribute to future AI initiatives.
Work Authorization: Must be authorized to work in the U.S. without current or future sponsorship.
If you’re a hands-on Data Engineer looking for an opportunity to build, own, and scale a modern data environment, we’d love to hear from you!
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