SMART TECH SKILLS LLC

This is a remote position.

Data Engineer

Location

United States

Posted

84 days ago

Salary

0

Seniority

Mid Level

Job Description

Data Engineer

SMART TECH SKILLS LLC

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.

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