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Remote Data Engineer / Databricks / Work - Life Balance

Remote in Remote, MI, US • Posted 10 hours ago • Updated 10 hours ago

Contract W2

On-site

$60 - $80/hr

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Recruiting
Analytics
Artificial Intelligence
PySpark
SQL
Data Processing
Amazon Web Services
Microsoft Azure
Agile
Machine Learning (ML)
Workflow
Data Governance
Customer Facing
Apache Kafka
Streaming
Databricks
Apache Spark
Cloud Computing
Data Engineering
Data Modeling
Optimization
Collaboration
Insurance
SAP BASIS
Continuous Delivery

Summary

A fast-growing, AI-driven digital consultancy is hiring a Data Engineer to help build modern data platforms for large enterprise clients. This role focuses on technologies like Databricks, Apache Spark (PySpark), and cloud platforms (AWS/Azure), delivering scalable solutions that power analytics and machine learning initiatives.

This opportunity stands out for its high impact and variety, so you won't be siloed. Instead, you'll design end-to-end pipelines, contribute to cloud lakehouse architectures, and partner closely with analytics and AI teams across multiple industries. It's ideal for someone who wants to expand their technical depth while working on meaningful, production-level systems that directly influence business outcomes.

Required Skills & Experience

3-5 years of hands-on data engineering experience
Strong experience with Databricks (Delta Lake, workflows, SQL)
Proficiency with Apache Spark (PySpark preferred)
Advanced SQL skills for large-scale data processing
Experience with AWS or Azure data services
Solid understanding of data modeling and architecture patterns
Experience working in Agile environment

Desired Skills & Experience

Experience with Delta Live Tables or similar frameworks
Familiarity with dbt or modern transformation tools
Exposure to ML pipelines or feature engineering workflows
Experience with data governance or cataloging tools
Background in consulting or client-facing environments
Experience with streaming data (Kafka or Spark Streaming)

What You Will Be Doing
Tech Breakdown

70% Databricks / Spark / Cloud Data Engineering
30% Data Modeling, Optimization, and Collaboration

Daily Responsibilities

75% Hands-on
15% Cross-Team Collaboration
10% Architecture & Design

The Offer

Bonus eligible

You will receive the following benefits:

Medical, Dental, and Vision Insurance
Flexible Time Off (FTO)
Paid parental leave

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: 881756
Posted 10 hours ago

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