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# Data Engineer (Databricks)

- **Company:** Motion Recruitment Partners LLC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Software as a Service, Cloud Database, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Python (Programming Language), PostgreSQL, Machine Learning, Cloud Services, DataOps, SQL Databases, Apache Spark, Data Lakes, Data Lineage, AWS Data Analytics, Data Pipelines, Databricks
- **Published:** October 5, 2026
- **Apply:** https://www.dice.com/job-detail/05c169ee-a2c6-4497-b44f-48c7371773e7

## About the Role

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
Desired Skills & Experience

 * Experience optimizing ETL workflows within Databricks
 * Knowledge of data lineage and data quality frameworks
 * Experience supporting machine learning and data science initiatives
 * Prior experience within the utility or energy industry
 * Master's degree in a related STEM field

## Description

Seeking a Data Engineer for a full-time opportunity supporting a leading research, analytics, and technology organization within the utility and energy industry. This role will focus on designing, building, and optimizing modern data solutions leveraging Databricks, Spark, Python, AWS, SQL, and PostgreSQL to support both client-facing and SaaS-based data products. The position offers the opportunity to work on large-scale data platforms that help utilities improve customer engagement, grid operations, and business performance.

You'll join a highly collaborative Machine Learning Engineering team where you'll work alongside data scientists, machine learning engineers, analysts, and software engineers to build impactful data solutions. This role is ideal for someone who enjoys solving complex data challenges, mentoring other engineers, and expanding their expertise in cloud data platforms, analytics, and machine learning technologies while contributing to meaningful work within the evolving energy sector. This is a fully remote oppurtunitiy., Tech Breakdown

 * 40% Databricks & Spark Development
 * 30% Data Pipeline Engineering
 * 20% AWS Data Platform & Infrastructure
 * 10% Collaboration, Mentorship & Innovation

Daily 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