Databricks - Multiple Positions

Location: Nationwide United States Employment Type: W2 Only C2C: Not Available Job Description CodeForce 360 is hiring Databricks professionals for multiple positions with our Fortune 1000, system integrator, and enterprise clients across the United States. Opportunities may be available onsite, hybrid, or remote, depending on client requirements. We are seeking candidates with knowledge or experience across various Databricks technologies, modules, and cloud environments. Posit

Senior Data Engineer - With DataBricksIntroduction: We''re seeking an experienced Data Engineer with expertise in data engineering across major data platforms. The ideal candidate will have a strong background in Python, SQL, ETL, and data modeling, with experience in tools like Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, and Big Data. Cloud knowledge (AWS, Azure, or Google Cloud Platform) is a plus. The role requires a willingness to transition and upskill into Databricks & A

Role Overview We are seeking an experienced Forward Deployed Engineer (FDE) to act as the primary technical bridge between our data platforms and client success. This is a high-velocity role for an engineer who thrives in ambiguity and can context-switch seamlessly between multiple concurrent client projects. Unlike traditional architecture roles, you will be embedded directly within client delivery teams to own the end-to-end implementation of Databricks-centric Lakehouse platforms. You will be

Required Skills 10+ years of experience with Databricks. Strong experience in PySpark, Spark SQL, and Python. Hands-on experience with Delta Lake and Databricks Workflows. Strong SQL and data modeling skills. Experience with Azure Databricks or AWS Databricks. Knowledge of Azure Data Factory (ADF), ADLS Gen2, or AWS S3. Experience with Git, Azure DevOps, or Jenkins. Understanding of data warehousing concepts and ETL best practices. Preferred Skills Experience with Unity Catalog, MLflow, and Delt