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Closed on November 4, 2026.

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Job Description

Brooksource seeks a Junior Data Engineer for a hybrid role in Philadelphia, PA.

Responsibilities

  • Develop, maintain, and optimize T-SQL queries, stored procedures, and scripts for data processing, ingestion, and reporting
  • Build and maintain ETL workflows and data pipelines to ingest, transform, and load data from multiple sources
  • Support data integration and transformation using SSIS and related technologies
  • Gain hands-on exposure to AWS data engineering technologies while supporting cloud-based data solutions
  • Assist with relational and dimensional data model design, including star-schema structures for data warehousing
  • Validate data throughout ingestion and transformation to support quality, accuracy, and consistency
  • Participate across the SDLC, including requirements analysis, development, unit testing, UAT, deployment, and production support
  • Perform unit testing and support User Acceptance Testing (UAT) for data transformations and business requirements
  • Troubleshoot data pipeline, SQL, and data-quality issues with senior engineers
  • Use JIRA for ticket management, development tracking, and project workflows
  • Support reporting and visualization using Tableau and Oracle BI (OBI)
  • Document data flows, transformations, technical processes, and business rules
  • Follow established standards for data governance, privacy, security, and compliance
  • Collaborate with engineers, analysts, and business stakeholders across varying technical levels

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical discipline
  • Approximately 0–2 years of professional experience with SQL, databases, data engineering, analytics, or related technologies
  • Working knowledge of SQL/T-SQL, including queries, joins, stored procedures, and relational database concepts
  • Familiarity with ETL concepts and data integration processes
  • Understanding of data warehousing and basic data modeling, including dimensional modeling and star schemas
  • Understanding of SDLC and software testing practices
  • Strong analytical, critical-thinking, and problem-solving skills
  • Ability to communicate effectively and work collaboratively in a technical team
  • Strong interest in developing skills in AWS and cloud-based data engineering

Technologies

  • T-SQL
  • ETL
  • SSIS
  • AWS
  • SQL
  • Tableau
  • Oracle BI (OBI)
  • JIRA

Benefits

  • Dental insurance
  • Health insurance
  • Vision insurance
  • 401k plan with company match; fully vested after you become eligible
  • Paid time off
  • Sick time
  • Paid company holidays
  • Employee Assistance Program (EAP) with services including virtual counseling, financial services, legal services, life coaching, etc.
  • Health Savings Account
  • Dependent Care FSA
  • Supplemental coverage

Pay Disclaimer

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

Compensation: USD 27 per hourly

Location: Philadelphia, PA (hybrid)

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