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Data Engineer III

Russell, Tobin & AssociatesMenlo Park, CA🇺🇸United States

Why this role stands out

This hybrid Data Engineer III role offers a fantastic opportunity to build and maintain scalable data solutions while enjoying flexibility in major tech hubs. You'll thrive here if you possess strong SQL and Python skills, enjoy problem-solving, and are eager to contribute to a dynamic team environment with a competitive hourly rate. Apply now to shape the future of data at Russell, Tobin & Associates!

Quick overview

Salary$80/hr
SeniorityMid Senior
Work modeOn Site
LocationMenlo Park, CA, United States
SQLGitApache SparkETLTableauAirflowHivePython

Job description

Title: Data Engineer III
Duration: 6-month contract with possible extension
Location: Menlo Park, CA - Onsite
Pay rate: $95-$97.90/hr. on W2
We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and analytics-ready datasets that support business operations and decision-making. This role requires expertise in large-scale data processing, ETL/ELT development, data warehousing, and workflow orchestration.
Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build and optimize analytics-ready datasets for reporting and operational insights.
  • Develop solutions using SQL, Python, Spark, Hive, and related big data technologies.
  • Maintain and monitor production data pipelines, troubleshoot failures, and implement preventive measures.
  • Perform data backfills, workflow automation, and data quality validation.
  • Collaborate with analysts, data scientists, and business stakeholders to understand requirements and deliver trusted data solutions.
  • Support reporting platforms and dashboard backend datasets.
  • Optimize data warehouse performance through partitioning, incremental processing, and tuning techniques.
  • Create documentation and follow best practices for code quality, reliability, and scalability.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
  • 5+ years of Data Engineering experience.
  • Strong expertise in:
    • SQL (Presto, Trino, Spark SQL, or similar)
    • Python
    • Spark and Hive
    • ETL/ELT pipeline development
    • Data warehousing and data modeling
    • Workflow orchestration tools such as Airflow, Dataswarm, or equivalent
  • Experience with data quality monitoring, pipeline reliability, and production support.

Preferred Qualifications
  • Experience supporting dashboard and reporting solutions using Tableau, Unidash, or similar BI tools.
  • Familiarity with workforce, operations, or productivity analytics.
  • Experience with Git, code reviews, and software development best practices.
  • Knowledge of data quality frameworks, SLA monitoring, and automation solutions.
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