Senior Data Engineer | Remote

Motion Recruitment

Chicago (IL)

Remote

USD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Fully remote
Bonus eligible
401(k) Program
Medical, Dental, and Vision Insurance

Job summary

Motion Recruitment is seeking a data engineer to join a rapidly growing data and AI consulting organization. This is a fully remote, full-time role focusing on building scalable data solutions using Databricks, Python, and cloud data engineering practices for enterprise clients.

You will work on high-impact data modernization projects, helping redesign legacy architectures and driving end-to-end analytics initiatives with strong stakeholder collaboration.

Qualifications

  • 1–8 years of Data Engineering experience.
  • Hands-on experience with Databricks.
  • Strong Python development experience.
  • Experience building and maintaining data pipelines.
  • Excellent verbal and written communication skills.
  • Experience working directly with business stakeholders.
  • Authorization to work in the United States.

Responsibilities

  • Design and build scalable data pipelines on Databricks.
  • Develop Python-based data processing workflows and PySpark jobs.
  • Collaborate with stakeholders to translate requirements into data solutions.
  • Contribute to architecture decisions and data modeling.
  • Support enterprise-scale data warehouse modernization initiatives.

Skills

Databricks
Python
Data engineering
Data pipelines
Verbal and written communication
Stakeholder interaction
US work authorization

Tools

PySpark
Databricks platform
Cloud platforms (AWS/GCP/Azure)

Job description

Join a rapidly growing data and AI consulting organization that specializes in helping enterprise clients modernize data platforms and accelerate analytics initiatives. This is a fully remote, full-time opportunity focused on building scalable data solutions using Databricks, Python, and modern cloud data engineering practices. You'll work on high-impact data modernization projects for enterprise organizations, helping redesign legacy architectures and build future-state analytics platforms.

This is an opportunity to get in early with a high-growth consulting firm that is rapidly expanding its engineering practice. You'll play a visible role in large-scale data transformation initiatives, influence architecture decisions, and work directly on modern technologies including Databricks, streaming data, and enterprise-scale data warehousing. If you're someone who enjoys solving complex data challenges, collaborating with stakeholders, and taking ownership of end-to-end solutions, this role offers significant technical growth and career advancement opportunities.

Required Skills & Experience
  • 1-8 years of Data Engineering experience
  • Hands-on experience with Databricks
  • Strong Python development experience
  • Experience building and maintaining data pipelines
  • Excellent verbal and written communication skills
  • Experience working directly with business stakeholders
  • Authorization to work in the United States
Desired Skills & Experience
  • Data modeling experience
  • PySpark
  • Real-time or streaming data experience
  • Experience with enterprise data warehouse modernization projects
  • Data quality and observability tools
  • Semantic layer design experience
  • Experience in consulting or client-facing environments
  • Healthcare or pharmacy industry experience
What You Will Be Doing

Tech Breakdown

  • 60% Databricks & Data Engineering
  • 25% Python & PySpark Development
  • 15% Streaming, Data Modeling & Architecture

Daily Responsibilities

  • 80% Hands-On Engineering
  • 5% Project Planning & Documentation
  • 15% Team Collaboration & Stakeholder Interaction
The Offer
  • Competitive base salary
  • Bonus eligible
  • Fully remote work environment
  • Opportunity for rapid career growth
  • Exposure to enterprise-scale modernization projects
  • High visibility within a growing organization

You will receive the following benefits:

  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Paid Holidays
  • Career Development Opportunities
  • Potential Equity/Stock Incentive Programs
  • 401(k) Program (if applicable)

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

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