Data Engineer

Role Description

The Data Engineer supports short-term, high-impact initiatives within the People Analytics and HR data domain. This role focuses on hands-on data integration, modeling, and migration efforts, primarily using Databricks. The position contributes to multiple concurrent data projects, including:

• Legacy system migration
• HR analytics enablement
• Healthcare data processing

This requires strong technical depth and the ability to quickly address skills gaps.

Qualifications

• Strong hands-on experience working as a Data Engineer in enterprise environments
• Recent, hands-on experience with Databricks for data processing and analytics
• Experience designing and supporting ETL and ELT pipelines
• Experience working with healthcare data or regulated data environments
• Strong SQL skills and experience with data modeling concepts
• Ability to work independently and quickly contribute in short-term engagements
• Strong analytical, problem-solving, and documentation skills

Requirements

• Design and build scalable data pipelines to ingest, process, and transform healthcare and HR data
• Ingest data from electronic health record systems and external data feeds
• Support data ingestion across raw, prepared, and curated layers for analytics use cases
• Develop and optimize ETL and ELT workflows using Databricks
• Work within cloud-based environments to ensure efficient, reliable data movement
• Translate stakeholder data requirements into effective processing solutions
• Maintain data quality, consistency, and integrity across pipelines
• Support data model and dashboard migration from SQL Server environments to Databricks
• Archive legacy data into Databricks for long-term access and analytics
• Build and maintain analytical data models to enable HR and People Analytics reporting
• Perform data cleansing, validation, and reconciliation
• Investigate and resolve data-related issues and pipeline failures
• Ensure accuracy and reliability of analytical datasets
• Develop and maintain documentation for data pipelines, workflows, and transformations
• Collaborate with business, analytics, and technical stakeholders
• Share knowledge to support maintainability and reproducibility of solutions

Benefits

• Competitive salary
• Remote location
• Mid–Senior Level experience

Core Skills & Attributes

• Strong hands-on technical execution mindset
• Ability to quickly adapt and address skills gaps
• Detail-oriented with a focus on data quality and reliability
• Strong collaboration and communication skills
• Comfortable working in fast-paced, short-duration project environments

This is a remote position.