Brooksource is hiring a Junior Data Engineer for a hybrid position in Philadelphia, PA. In this role, you will help build and support enterprise data pipelines, ingestion processes, and data warehouse solutions, with increasing exposure to cloud-based data engineering technologies.
What you’ll do
- Develop, maintain, and optimize T-SQL queries, stored procedures, and scripts used for data processing, ingestion, and reporting.
- Build and maintain ETL workflows and data pipelines to ingest, transform, and load data from multiple sources.
- Use SSIS and related technologies to support data integration and transformation.
- Validate data throughout ingestion and transformation to support quality, accuracy, and consistency.
- Assist with designing and implementing relational and dimensional data models, including star-schema structures for data warehousing.
- Contribute across the SDLC, including requirements analysis, development, unit testing, UAT, deployment, and production support.
- Perform unit testing and support User Acceptance Testing (UAT) to validate transformations and business requirements.
- Troubleshoot issues in data pipelines, SQL, and data quality, partnering with senior engineers to identify solutions.
- Use JIRA for ticket management, development tracking, and project workflows.
- Support reporting and visualization efforts using tools such as 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 different technical levels.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical discipline.
- About 0–2 years of professional experience working 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 foundational data modeling concepts, including dimensional modeling and star schemas.
- Understanding of the SDLC and software testing practices.
- Strong analytical, critical-thinking, and problem-solving skills.
- Ability to communicate effectively and work collaboratively within a technical team.
- Strong interest in developing skills in AWS and cloud-based data engineering.
Tools and technologies
- T-SQL, ETL, SSIS
- AWS
- SQL
- Tableau
- Oracle BI (OBI)
- JIRA
Benefits
- Dental insurance
- Health insurance
- Vision insurance
- 401k plan with a company match, fully vested after eligibility
- Paid time off
- Sick time
- Paid company holidays
- Employee Assistance Program (EAP) including virtual counseling, financial services, legal services, life coaching, etc.
- Health Savings Account
- Dependent Care FSA
- Supplemental coverage
Pay: USD 27 per hour (pay range is a general guideline only and not a guarantee of compensation or salary).