Data Engineer

job summary:

Data Engineering & Pipeline Development

Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data for reporting use cases

Develop curated data layers (e.g., bronze/silver/gold) optimized for BI consumption

Ensure high data quality through validation, monitoring, and automated checks

Reporting Infrastructure Enablement

Build and optimize data models to support scalable reporting

Partner with analytics teams to translate business requirements into performant data structures

Enable self-service reporting by creating well-documented, reusable datasets

Platform & Performance Optimization

Improve performance of data pipelines and queries for large-scale datasets

Implement efficient partitioning, indexing, and query optimization strategies

Support cloud-based environments (e.g., Azure, AWS, or Google Cloud Platform)

Data Governance & Reliability

Establish standards for data lineage, documentation, and metadata management

Ensure adherence to data governance, security, and compliance practices

Monitor pipelines and troubleshoot issues proactively

location: Malvern, Pennsylvania

job type: Contract

salary: $55 - 60 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

Data Engineering & Pipeline Development

• Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data for reporting use cases
• Develop curated data layers (e.g., bronze/silver/gold ) optimized for BI consumption
• Ensure high data quality through validation, monitoring, and automated checks

Reporting Infrastructure Enablement

• Build and optimize data models to support scalable reporting
• Partner with analytics teams to translate business requirements into performant data structures
• Enable self-service reporting by creating well-documented, reusable datasets

Platform & Performance Optimization

• Improve performance of data pipelines and queries for large-scale datasets
• Implement efficient partitioning, indexing, and query optimization strategies
• Support cloud-based environments (e.g., Azure, AWS, or Google Cloud Platform)

Data Governance & Reliability

• Establish standards for data lineage, documentation, and metadata management
• Ensure adherence to data governance, security, and compliance practices
• Monitor pipelines and troubleshoot issues proactively

qualifications:

Required Qualifications

4-8+ years of experience in data engineering or data platform development

Robust proficiency in SQL, Python, and AWS

Experience building pipelines with tools such as:

Azure Data Factory, Databricks, Airflow, or equivalent

Experience with data warehousing solutions (e.g., Snowflake, Synapse, Redshift, BigQuery)

Robust understanding of data modeling concepts (star schema, dimensional modeling)

Experience supporting BI/reporting tools (e.g., Power BI, Tableau)

Preferred Qualifications

Experience building reporting infrastructure from scratch or during organizational expansion

Familiarity with data contracts and data product thinking

Exposure to DevOps and CI/CD pipelines for data (Git, automated deployments)

Experience working in distributed/global teams

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.