Data Engineer - Databricks

Overview
We are seeking a Junior Data Engineer to join a dynamic team. This role focuses primarily on Databricks development and ETL pipeline transitions, alongside some support with Power BI dashboards. The mission is to assist in migrating from their legacy enterprise data warehouse to a modern cloud-based architecture leveraging Databricks on Microsoft Azure.

Position Details

• Location: Fully remote (must work EST)


• Security Clearance: Public Trust

Key Responsibilities

• Support migration and transition of existing ETL pipelines into Databricks environments


• Develop, maintain, and optimize data engineering workflows primarily using Databricks (PySpark, SQL, Python)


• Assist with the adaptation and creation of dashboards using Power BI and potentially Power Apps


• Participate in ongoing efforts to decommission legacy systems, including Tableau dashboards (experience with Tableau is a plus but not critical)


• Collaborate with cross-functional teams to ensure smooth data governance and change data capture processes


• Support AI and machine learning pipelines as needed, although the main focus is on data engineering, not data science


• Engage in technical discussions relating to data governance, data quality, and pipeline management

Required Skills & Qualifications

• 1-2 years experience in a data engineering role (junior level preferred)


• Strong proficiency with Databricks, including working knowledge of PySpark, Python, and SQL


• Experience with Power BI or Power Apps development or support


• Familiarity with cloud environments, preferably Microsoft Azure, especially Databricks service on Azure


• Understanding and experience with ETL pipelines and data migration tasks


• Willingness and ability to engage in discussions around data governance and change data capture techniques


• Good communication skills with ability to discuss past projects in an interview setting


• ship required due to clearance requirements

Preferred (But Not Required)

• Experience with Tableau, especially in a legacy or transitional capacity


• Familiarity with AI/ML pipelines (e.g., ML Flow) is a bonus but not mandatory


• Exposure to data governance frameworks or compliance standards

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.