Data Engineer / Remote / Databricks / Work Life Balance

Remote in Remote, MI, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
On-site
$50 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Recruiting
  • Analytics
  • Artificial Intelligence
  • Customer Facing
  • PySpark
  • SQL
  • Amazon Web Services
  • Microsoft Azure
  • Data Governance
  • Apache Kafka
  • Streaming
  • Databricks
  • Apache Spark
  • Data Engineering
  • Cloud Computing
  • Data Modeling
  • Collaboration
  • Management
  • Insurance
  • SAP BASIS
  • Continuous Delivery

Summary

A leading data-driven digital consultancy is hiring a Senior Data Engineer for a fully remote, full-time opportunity. This organization works at the cutting edge of AI, analytics, and cloud technology, helping enterprise clients unlock value from complex datasets. This role is centered around Databricks, Spark, and modern lakehouse architecture within AWS and Azure ecosystems.

This is an opportunity to work on meaningful, production-grade data solutions, not experimental projects that never ship. Engineers here take ownership of building scalable pipelines that directly impact business outcomes for large organizations. You'll collaborate with cross-functional teams, gain exposure to diverse industries, and help shape a growing data and AI practice. It's an ideal role for someone who wants both technical depth and client-facing impact in a fast-evolving environment.

Required Skills & Experience
  • 3+ years of experience in data engineering
  • Hands-on experience with Databricks and Delta Lake
  • Strong experience with Apache Spark (PySpark preferred)
  • Advanced SQL skills for large-scale data transformation
  • Experience with cloud platforms (AWS or Azure)
  • Experience building and maintaining production data pipelines
  • Understanding of data modeling and lakehouse architectures
Desired Skills & Experience
  • Experience with Delta Live Tables or similar frameworks
  • Familiarity with dbt or data transformation tooling
  • Exposure to data governance tools (Collibra, Purview, etc.)
  • Experience with Kafka or streaming pipelines
  • Background in consulting or multi-client environments
What You Will Be Doing
Tech Breakdown
  • 70% Databricks / Spark / Data Engineering
  • 30% Cloud + Data Modeling + Collaboration

Daily Responsibilities
  • 80% Hands On
  • 15% Team Collaboration
  • 5% Management Duties

The Offer
  • Competitive Hourly Rate
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

#LI-CD1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 882232
  • Posted 5 hours ago
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