Data Engineer
Full Time • Fully Remote - US
Benefits:
- Competitive salary
Location
Remote
Remote
Experience Level
Mid–Senior Level
Mid–Senior Level
Role Overview
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, and healthcare data processing, requiring strong technical depth and the ability to quickly address skills gaps.
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, and healthcare data processing, requiring strong technical depth and the ability to quickly address skills gaps.
Key Responsibilities
Data Integration & Pipeline Development
Data Integration & Pipeline Development
- 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
ETL, ELT & Cloud Processing
- 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
Data Modeling & Migration
- 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
Data Quality & Troubleshooting
- Perform data cleansing, validation, and reconciliation
- Investigate and resolve data-related issues and pipeline failures
- Ensure accuracy and reliability of analytical datasets
Documentation & Collaboration
- 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
Required 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
Preferred Qualifications
- Experience supporting HR, People Analytics, or workforce data domains
- Experience working with Azure-based data platforms
- Experience supporting Epic or Caboodle data environments
- Experience migrating data from legacy systems into modern analytics platforms
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.
Established in 2004, Smart Tech Skills is a top technology and professional services firm specializing in innovative technologies.
Headquartered in Marlborough, MA, the company effectively addresses clients’ technology needs nationwide, making advanced technology management easier.
Headquartered in Marlborough, MA, the company effectively addresses clients’ technology needs nationwide, making advanced technology management easier.
(if you already have a resume on Indeed)