Overview
On Site
USD 55.00 - 60.00 per hour
Contract - Independent
Skills
Mergers and Acquisitions
Reporting
Business Operations
Regulatory Compliance
HIPAA
HITECH
Analytics
Microsoft Exchange
Health Care
HL7
ASC X12
Electronic Data Interchange
Documentation
Data Flow
Data Security
Access Control
Testing
Release Management
Workflow
Data Modeling
Informatica PowerCenter
Extract
Transform
Load
ELT
SQL
Data Warehouse
Software Development Methodology
Scrum
DevOps
JSON
XML
Computerized System Validation
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Storage
Amazon S3
Data Governance
Data Quality
Meta-data Management
Python
Scripting
Informatica Data Quality
IDQ
Continuous Integration
Continuous Delivery
Git
Agile
Soft Skills
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Collaboration
Attention To Detail
FOCUS
Process Improvement
Computer Science
Information Systems
Data Engineering
Health Informatics
Snow Flake Schema
Informatica
Privacy
Marketing
Job Details
Location: Boston, MA
Salary: $55.00 USD Hourly - $60.00 USD Hourly
Description:
Job Title: SQL Data Engineer
Location: Boston, MA (Hybrid)
Duration: 12+ Months with possibility of extension
Overview:
We are seeking an experienced SQL Data Engineer to join our IT team supporting healthcare-related applications and data systems. The role involves designing, developing, and maintaining data pipelines and integration processes that enable analytics, reporting, and business operations. You will work extensively with Snowflake and Informatica to deliver scalable, secure, and reliable data solutions.
Key Responsibilities:
Required Qualifications:
Preferred Skills:
Soft Skills:
Education & Certifications
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Salary: $55.00 USD Hourly - $60.00 USD Hourly
Description:
Job Title: SQL Data Engineer
Location: Boston, MA (Hybrid)
Duration: 12+ Months with possibility of extension
Overview:
We are seeking an experienced SQL Data Engineer to join our IT team supporting healthcare-related applications and data systems. The role involves designing, developing, and maintaining data pipelines and integration processes that enable analytics, reporting, and business operations. You will work extensively with Snowflake and Informatica to deliver scalable, secure, and reliable data solutions.
Key Responsibilities:
- Design, build, and maintain ETL/ELT pipelines using Informatica to move and transform data into Snowflake.
- Ensure compliance with HIPAA, HITECH, and organizational privacy/security standards.
- Develop data models, schemas, and views in Snowflake for efficient querying and analytics.
- Support interoperability and data exchange initiatives using healthcare standards (HL7, FHIR, X12 EDI).
- Implement data ingestion, transformation, and quality processes for trusted data.
- Monitor and troubleshoot data pipelines for performance and reliability.
- Collaborate with analysts, scientists, engineers, and business users to meet data requirements.
- Maintain documentation for data flows, metadata, and transformation logic.
- Assist with data security, access control, and governance within Snowflake and Informatica.
- Participate in testing, deployment, and release management for new workflows.
Required Qualifications:
- 3-5+ years of experience in SQL-based data engineering or ETL development.
- Hands-on experience with:
- Snowflake Cloud Data Platform (SQL development, data modeling).
- Informatica PowerCenter or IICS for ETL/ELT design.
- Strong SQL skills and understanding of data warehousing concepts.
- Experience with SDLC, Agile/Scrum, and DevOps practices.
- Integration of structured/semi-structured data (JSON, XML, CSV).
- Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and storage services (S3, Blob).
- Understanding of data governance, data quality, and metadata management.
Preferred Skills:
- Python for scripting and automation.
- Knowledge of Informatica Data Quality (IDQ) or Data Catalog tools.
- Exposure to CI/CD pipelines, Git, and Agile environments.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Detail-oriented with a focus on accuracy and process improvement.
- Eagerness to learn new tools and technologies.
Education & Certifications
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Health Informatics, or related field (or equivalent experience).
- Snowflake or Informatica certifications are a plus.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
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.