Mid-Level Data Engineer (Max hourly rate = $64.00) No C2C's

Posted today

catalyteSacramento (CA)

Data Warehousing Specialists Computer Systems Design Services

SENIORITY

Senior

SALARY

$64.00

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About the role

Mid-Level Data Engineer (Max hourly rate = $64.00) No C2C'sWe are seeking a Mid-Level Data Engineer to join our team and support data modernization and migration initiatives. This role will work closely with technical data scientists and other engineering stakeholders to develop, maintain, and improve data pipelines and workflows using Python, PySpark, Azure, and Azure Databricks. The ideal candidate has a solid software development foundation, an interest in data engineering, and the ability to work independently in a technical environment. Experience with data engineering is valuable, but strong software development skills and the ability to learn new technologies are equally important.

RESPONSIBILITIES:

Develop and maintain data processing and transformation workflows using Python and PySpark
Build, test, and maintain data pipelines and related engineering processes
Support the migration of data from legacy sources to modern data platforms
Work within Azure and Azure Databricks environments
Develop and maintain automation and CI/CD workflows using GitHub Actions, Bash, and Python
Troubleshoot data and application issues and identify opportunities to improve reliability and efficiency
Collaborate with data scientists and other technical stakeholders to understand requirements and translate them into effective engineering solutions
Participate in code reviews, testing, documentation, and other software development practices
Take ownership of assigned work, identify issues proactively, and contribute to solutions with limited day-to-day direction
Learn and apply data engineering concepts, tools, and practices as neededREQUIRED QUALIFICATIONS
Experience with Python in a professional software development environment
Experience with PySpark or Spark
Experience with Git and modern software development practices
Experience with scripting and automation using Python and/or Bash
Ability to work independently, take initiative, and manage assigned work
Strong problem-solving and analytical skills
Ability to communicate technical concepts clearly to both highly technical and less technical stakeholders
Willingness and ability to learn new technologies and data engineering practicesPREFERRED QUALIFICATIONS
Experience with Azure
Experience with Azure Databricks
Experience with GitHub Actions or similar CI/CD platforms
Experience developing or supporting data pipelines
Familiarity with data engineering concepts, data migration, ETL/ELT, and data transformation
Experience working with data scientists, analytics teams, or other technical stakeholdersWHAT YOU'LL WORK ONThe team is currently focused on migrating data and workflows from legacy sources to newer data platforms and technologies. Specific data sources, workflows, and team processes will be covered during onboarding.

This is an opportunity for a software engineer or data engineer who enjoys learning new technologies and solving problems to develop deeper expertise in modern data engineering, cloud platforms, and Databricks.

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