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 GCP) 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 GCP) 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 HRsupport@randstadusa.com. 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.