• Client Login
  • Login
  • Employee Login
DATA SCIENCE TECHNOLOGIES LLC
  • Home
  • About Us
  • Business Value
  • Consulting
  • Solutions
  • Jobs Portal
  • Contact Us


Job Description


Job Overview

  • Job ID:

    J55204

  • Job Title:

    Data Engineer – Databricks & ADF (ETL)

  • Location:

    Dallas, TX

  • Duration:

    10 Months + Extension

  • Domain Exposure:

    Healthcare

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

View All Jobs
Similar Jobs

  • GCP Data Engineering Technical Architect - Bentinville, AR
  • Data Engineer - Weehawken, NJ
  • Data Engineer - Plano, TX
  • Data Analyst - Weehawken, NJ
  • Data Solutions Architect – Microsoft Fabric - Mount Laurel, NJ

Job Title: Data Engineer – Databricks & ADF (ETL)
Location: Dallas, TX
Duration: 10 Months
Bill Rate: $78/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

  • We are looking for a Data Engineer with experience in Databricks and Azure Data Factory (ADF) to develop, maintain, and optimize data pipelines and ETL processes.
  • Responsibilities:
  • Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
  • Work with Databricks for data processing and transformation.
  • Write and optimize SQL queries for data extraction and transformation.
  • Work with PySpark or Python for large-scale data processing.
  • Integrate data from multiple sources into data warehouses or data lakes.
  • Monitor, troubleshoot, and optimize data pipelines.
  • Collaborate with teams to ensure data quality and reliability.
  • Required Skills:
  • Experience with Databricks and Azure Data Factory (ADF).
  • Strong understanding of ETL/ELT concepts.
  • Good knowledge of SQL and data transformations.
  • Basic experience with Python or PySpark.
  • Understanding of Azure cloud services and data lake concepts.

Apply Now
Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.


Home | About US | Business Value | Consulting | Solutions | Contact Us

© 2004-2026,  Data Science Technologies LLC, or its affiliates