Data Engineer at SMART TECH SKILLS LLC

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, ETL, ELT, SQL, Data Modeling, Data Integration, Data Migration, Cloud Processing, Data Cleansing, Data Validation, Azure, Healthcare Data Processing, People Analytics, Pipeline Development, Data Quality, Documentation

Industry

IT Services and IT Consulting

Description

Benefits: Competitive salary Location Remote Experience 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. Key Responsibilities 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.

Responsibilities

Design and build scalable data pipelines for healthcare and HR data using Databricks. Support the migration of data models and dashboards from SQL Server to modern cloud environments.