Remote Data Engineer — Databricks, Spark & Cloud Pipelines

Kelly Services; Dallas (TX); Remote; USD 115,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

Vacation Time

Stock Options

Salary Bonus Eligible

PTO & Paid Holidays

401(k) with Company Match

Remote

Growth & Leadership Opportunity

Job summary

Motion Recruitment Partners is seeking a Data Engineer for a full-time, remote role supporting a leading research, analytics, and technology organization in the utility and energy sector.

You will design, build, and optimize data solutions using Databricks, Spark, Python, AWS, SQL, and PostgreSQL to support SaaS data products and client-facing platforms. You will join a collaborative ML engineering team and mentor others while expanding cloud data platform expertise.

Qualifications

• 5+ years of experience in Data Engineering or a related field.
• Expert-level proficiency in Python, SQL, Databricks, and Spark
• Experience building cloud-based data pipelines in AWS
• Strong understanding of data engineering best practices and scalable architectures
• Knowledge of data governance, security, privacy, and retention practices

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure
• Build and support data lakes, analytics platforms, and data products
• Collaborate with cross-functional teams to deliver business-driven solutions
• Monitor, troubleshoot, and improve data quality, reliability, and availability

Skills

Data Engineering

Python

SQL

Databricks

Spark

AWS

Data governance

Security

Data retention

ETL

Education

Master's degree in a related STEM field

Tools

Databricks

Spark

Python

SQL

AWS

Job description

Motion Recruitment Partners is seeking a Data Engineer for a full-time, remote role supporting a leading research, analytics, and technology organization in the utility and energy sector.

You will design, build, and optimize data solutions using Databricks, Spark, Python, AWS, SQL, and PostgreSQL to support SaaS data products and client-facing platforms. You will join a collaborative ML engineering team and mentor others while expanding cloud data platform expertise.