Databricks Data Engineer
About The Position
The Databricks Data Engineer will build and support data pipelines and enterprise data solutions in a Lakehouse environment. The ideal candidate is highly experienced with Databricks, SQL, and Python; can troubleshoot data issues independently; communicates effectively with technical and business stakeholders; and proactively takes ownership of problems and projects with limited direction. The role includes collaborating with Principal Data Engineers and supporting analysts, translating business needs into technical tasks, and applying data engineering best practices across development and production support. The position is onsite in Dallas, Texas, five days per week. It is a contract-to-hire opportunity with a duration of six or more months. The stated rate is $45–$50 per hour on W-2.
Requirements
- 4–5+ years of hands-on Databricks experience.
- Strong SQL skills, including advanced joins, window functions, common table expressions, and performance tuning.
- Strong Python programming skills; experience with pandas or PySpark for data processing and automation.
- Experience building and supporting data pipelines and enterprise data solutions.
- Ability to troubleshoot and triage data issues independently.
- Strong communication skills with technical and business stakeholders.
- Ability to work proactively with limited direction and lead projects when needed.
- Operational mindset with strong debugging and root-cause analysis skills.
- Organized and detail-oriented, with strong documentation habits.
- Familiarity with Agile/Scrum and the software development lifecycle.
- Experience applying data engineering best practices, including version control, code reviews, automated testing, monitoring, and performance optimization.
- Hands-on database and data warehouse modeling experience, including dimensional and normalized modeling.
- Experience developing and supporting data pipelines using Bronze, Silver, and Gold layers.
- Understanding of data quality, testing, monitoring, and production support best practices.
- Must be local to the Dallas, Texas area.
- Eligible visa status is limited to USC, GC, or GC EAD; visa copy is required with submission for GC and EAD candidates.
- Submission must include a genuine LinkedIn profile, a LinkedIn profile picture, and full educational details including university name and completion year in the resume.
Nice To Haves
- Experience working with retail data domains such as sales, inventory, products, pricing, merchandising, replenishment, logistics, or supply chain.
- Experience with Databricks technologies including Spark, Delta Lake, and Unity Catalog.
- Experience with cloud data platforms such as Snowflake, BigQuery, or Redshift.
- Experience with job orchestration tools such as Airflow, Azure Data Factory, Prefect, or Dagster.
- Experience with data quality frameworks and observability tools.
- Familiarity with BI ecosystems such as Power BI or Sigma.
Responsibilities
- Build and support data pipelines and enterprise data solutions.
- Troubleshoot and triage data issues independently, including debugging and root-cause analysis.
- Translate business needs into technical tasks and communicate with technical and business stakeholders.
- Lead projects when needed and work proactively with limited direction.
- Collaborate with Principal Data Engineers and support analysts.
- Develop and support pipelines using a Bronze, Silver, and Gold medallion architecture.
- Apply data engineering best practices, including version control, code reviews, automated testing, monitoring, performance optimization, and documentation.
- Support data quality, testing, monitoring, and production operations.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
