Senior Data Engineer

Jahnel Group

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Data Engineering or related roles
  • Strong hands-on expertise with Snowflake, Looker, Python, and SQL
  • Proven ability to design, optimize, and maintain data workflows
  • Excellent problem-solving skills with a focus on clean, maintainable code
  • Strong communication skills for effective collaboration in distributed teams
  • Self-starter mindset, comfortable working independently.

Responsibilities

  • Leverage Snowflake and Looker to build and optimize scalable data models
  • Perform advanced data analysis using Python and SQL for business decision support
  • Mentor junior team members to elevate overall data capabilities
  • Collaborate cross-functionally with engineering, product, and analytics teams
  • Ensure data quality, consistency, and governance across the organization
  • Drive automation and reliability in data processes
  • Participate in code reviews and contribute to data engineering best practices.

Benefits

  • Remote work option available
  • Flexible work hours with occasional late nights as needed
  • Opportunity to mentor and lead junior team members
  • Involvement in projects with security-conscious clients requiring adherence to best practices
  • Immediate availability for candidates looking to start quickly.
Full Job Description
Who We're Looking For

We're on the hunt for a Senior Data Engineer who thrives in building efficient, scalable, and reliable data pipelines. You're a self-starter who can take ownership of projects, translate complex business needs into clean datasets, and optimize workflows for performance. If you're strong in Snowflake, Looker, Python, SQL, and love solving problems with data, this might be your next big move.

Primary Responsibilities

  • Leverage Snowflake and Looker to build, analyze, and optimize scalable data models and reporting solutions.
  • Perform advanced data analysis using Python and SQL to inform business decisions and improve data processes.
  • Provide mentorship and guidance to junior team members, helping elevate overall data capabilities and best practices.
  • Collaborate cross-functionally with engineering, product, and analytics teams.
  • Ensure data quality, consistency, and governance across the organization.
  • Drive automation, efficiency, and reliability in data processes.
  • Participate in code reviews and contribute to the growth of our data engineering best practices.
Some Must-Haves:

  • 5+ years of experience in Data Engineering or related roles.
  • Strong hands-on expertise with Snowflake, Looker, Python, and SQL.
  • Proven ability to design, optimize, and maintain data workflows.
  • Excellent problem-solving skills and a passion for clean, maintainable code.
  • Strong communication skills and ability to work effectively in distributed teams.
  • Self-starter mindset-comfortable working with minimal supervision.


Where We're Looking For It:
  • Schenectady, New York
  • Open to 100% Fully Remote

Other Information

The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required.
Position available immediately.

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