ONSITE INTERVIEW REQURIED

Title:

Data Engineer Client Industry:

Home Improvement Location:

Fully Onsite in Coppell, TX - looking for local candidates

Duration:

6 Month Contract Required Strong SQL skills, including advanced joins, window functions, CTEs, and performance tuning. Python experience for data processing and automation using pandas or PySpark. Hands-on database and data warehouse modeling experience, including dimensional and normalized modeling. Experience developing and supporting data pipelines using a medallion architecture with Bronze, Silver, and Gold layers. Understanding of data quality, testing, monitoring, and production support best practices. Experience working with retail data domains such as sales, inventory, products, pricing, merchandising, replenishment, logistics, or supply chain is preferred. Preferred/Plus Databricks, including Spark, Delta Lake, and Unity Catalog. Cloud data platforms such as Databricks, Snowflake, BigQuery, or Redshift. Job orchestration tools such as Airflow, Azure Data Factory, Prefect, or Dagster. Data quality frameworks and observability tools. Familiarity with BI ecosystems such as Power BI or Sigma.

The ideal candidate is:

A Databricks-heavy Data Engineer Comfortable in a Lakehouse environment Strong in SQL and Python Able to communicate effectively with business partners A proactive self-starter who can hit the ground running Someone who can own problems rather than wait for direction