Data Engineer

New Yesterday

: We are seeking a skilled and execution-focused Data Engineer to join our Data & Analytics team. This individual will be responsible for building and maintaining robust, scalable data pipelines using the Databricks Lakehouse Platform. The ideal candidate will have deep technical fluency with Python, PySpark, SQL, and medallion architecture concepts, and a proven ability to deliver production-grade pipelines in enterprise environments.
You will report directly to the Sr. Data Architect and collaborate with business analysts, architects, BI developers, and offshore engineering resources to support data delivery needs across the organization. The successful candidate is not only highly technical but also eager to learn and adapt, particularly as we continue evolving our platform to include generative AI, agent-based automation, and intelligent orchestration frameworks.
Key Responsibilities: Build and maintain ELT pipelines within Databricks, using Delta Live Tables, Python, PySpark, and SQL, structured according to the medallion architecture (Bronze → Silver → Gold)
Package and deploy reusable pipeline logic using Databricks Asset Bundles (DABs)
Use Azure DevOps or GitHub for source control and manage CI/CD workflows across environments
Perform code reviews and provide delivery oversight for offshore data engineering teams, ensuring consistent standards and documentation
Participate in sprint planning and design reviews; identify and troubleshoot data issues proactively
Continuously evaluate new tools and techniques, including LLMs, GenAI, and agent workflows, to modernize and automate data delivery
Assist in developing and enforcing data modeling, lineage, and governance practices using Unity Catalog and related tooling
Maintain documentation and communicate effectively across business and technical teams Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field
3+ years of experience in data engineering with production use of Databricks, Python, PySpark, and SQL
Strong understanding of Delta Lake, DLT pipelines, and medallion architecture principles
Experience with Azure DevOps or GitHub for version control and CI/CD automation
Demonstrated ability to manage or support offshore engineering resources and maintain delivery accountability
Familiarity or interest in GenAI, agent tooling, and modern orchestration/ML workflows
Databricks certification (Associate Data Engineer or higher) is preferred
Experience working in Azure data environments preferred
Strong documentation and communication skills Skills and Competencies: Exceptional attention to detail and a quality-first mindset
Ability to operate in a hybrid onshore/offshore team structure
Strong organizational skills and task ownership
Self-motivated and eager to adopt new tools and frameworks
Comfortable working under deadlines in a fast-paced environment Working Conditions: This position may require occasional travel
Flexible work hours may be necessary to meet project timelines Salary Range:
$90,000–$110,000 annually
Company Overview: Benefits: 401k w/employer match
Health/Dental/Vision insurance plans
Paid time off
10 paid holidays
Stock purchase plan EEO Statement:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Agency Statement:
We are not accepting resumes from Third Party Recruiting Firms for this position. If you are an Agency or Search firm representative, contact the Primoris Talent Acquisition Manager directly for consideration. Primoris or its subsidiaries will not be responsible for any fees arising from the use of resumes and online response forms through this source. In addition, Primoris or its subsidiaries will not be responsible for any fees on unsolicited resumes that are submitted to any member of the Staffing or Operations team. Primoris has established an approved vendor program for this service and will only consider accepting submissions from those approved firms. For consideration in becoming an approved vendor, contact HR.
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Location:
Dallas

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