Data Engineer (Spark / Databricks / Snowflake)

job summary:

Join an industry-leading team delivering high-impact data platform solutions for complex enterprise environments. As a Data Engineer, you will drive the architecture, development, and execution of large-scale, robust data pipelines. You will collaborate with elite technical professionals to solve critical performance, scalability, and data quality challenges across modern cloud architectures.

location: Washington, Washington, D.C.
job type: Contract
salary: $66.66 - 76.66 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:

• Build, scale, and optimize high-throughput data processing pipelines using Apache Spark and PySpark.
• Engineer data solutions and manage deployments across AWS EMR, Databricks, and Snowflake.
• Implement production-grade data quality checks, observability, and performance monitoring.
• Troubleshoot and resolve performance bottlenecks in distributed cloud data workloads.

qualifications:

REQUIRED QUALIFICATIONS

5 to 7 years of dedicated experience in Data Engineering.

Extensive hands-on background in Apache Spark and PySpark development.

Demonstrated expertise with cloud data platforms, specifically AWS EMR, Databricks, and Snowflake.

Solid experience designing and managing scalable pipeline architectures in production settings.

PREFERRED QUALIFICATIONS

Proven experience with automated data quality tools and observability frameworks.

Background supporting analytics or assurance applications in enterprise environments.

skills:

AWS EMR,Apache Spark,Cloud infrastructure,cloud-based data platforms,data infrastructure,data platform,data ingestion,scalable data pipelines,processing pipelines,pipeline development,pipeline architecture,data observability,Databricks,distributed data,distributed systems,distributed computing,Data Engineering,troubleshoot performance,performance tuning,PySpark,Snowflake,troubleshoot,problem-solving mindset,proactive,results-oriented,advisory,data quality standards,data quality monitoring,data quality,Diagnose,security best practices,technical depth

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.