Data Engineer - DE 25-32080

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
No Travel Required

Skills

Snow Flake Schema
Release Management
Process Improvement
Scripting
Scrum
Storage
Python
Quality Assurance
Regulatory Compliance
Meta-data Management
Microsoft Azure
Informatica
Informatica Data Quality
Google Cloud Platform
HIPAA
HITECH
ELT
Electronic Data Interchange
Data Modeling
Data Quality
Data Security
Continuous Integration
Testing
Workflow
XML
Microsoft Exchange
Problem Solving
Health Care
Informatica PowerCenter
Documentation
Extract
Transform
Load
Data Engineering
Data Flow
Communication
Computerized System Validation
Analytical Skill
Analytics
Attention To Detail
IDQ
JSON
Data Governance
Data Warehouse
Git
Good Clinical Practice
HL7
Management
Cloud Computing
Collaboration
Conflict Resolution
Continuous Delivery
Data Integrity
ASC X12
Access Control
Adaptability
Agile
Amazon S3
Amazon Web Services
Privacy
Reporting
SQL
Scalability

Job Details

Job Title: Data Engineer
Location: Boston, MA
Duration: 6 Months

Position Overview

The Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and integration processes that support enterprise data initiatives. This role requires strong technical expertise in Informatica, Snowflake, and modern data warehousing concepts. The ideal candidate will ensure data integrity, performance, and compliance with privacy and security standards while collaborating with cross-functional teams to deliver scalable data solutions.

Key Responsibilities

  • Design, build, and maintain ETL/ELT pipelines using Informatica to move and transform data from multiple source systems into Snowflake.

  • Ensure all data handling and storage comply with HIPAA, HITECH, and organizational privacy and security standards.

  • Develop and optimize data models, schemas, and views in Snowflake for analytics and reporting.

  • Support data exchange and interoperability using healthcare data standards such as HL7, FHIR, and X12 EDI.

  • Implement data ingestion, transformation, and quality assurance processes to ensure accuracy and reliability.

  • Monitor, troubleshoot, and optimize data pipelines for performance and scalability.

  • Collaborate with data analysts, data scientists, and business stakeholders to gather requirements and deliver actionable solutions.

  • Maintain documentation of data flows, metadata, and transformation logic.

  • Manage data security, access control, and governance within Snowflake and Informatica.

  • Participate in testing, deployment, and release management activities for data workflows.

Required Qualifications

  • 3 5+ years of experience in data engineering or ETL development.

  • Hands-on experience with:

    • Snowflake Cloud Data Platform, including SQL development and data modeling.

    • Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS) for ETL/ELT development.

  • Proficient in SQL and well-versed in data warehousing principles.

  • Experience integrating structured and semi-structured data (JSON, XML, CSV).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and storage services such as Amazon S3 or Azure Blob Storage.

  • Understanding of data governance, data quality, and metadata management best practices.

Preferred Skills

  • Experience with Python for scripting and workflow automation.

  • Familiarity with Informatica Data Quality (IDQ) or Data Catalog tools.

  • Exposure to CI/CD pipelines, Git, and Agile/Scrum development environments.

Soft Skills

  • Strong analytical and problem-solving skills.

  • Excellent communication and collaboration abilities.

  • High attention to detail with a commitment to data accuracy and process improvement.

  • Adaptable and eager to learn new tools and technologies in a dynamic environment.

Education & Certifications

  • Bachelor s degree in Computer Science, Information Systems, Data Engineering, Health Informatics, or a related field or equivalent professional experience.

  • Snowflake or Informatica certifications preferred.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.