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Data Engineer Interior Health Jobs (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Comprehensive health, dental, and vision coverage. * Professional development and training ...

Circadia Health

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About Circadia Health Circadia Health is a growth-stage healthcare AI company on a mission to ... The Role As a Data Engineer at Circadia Health , you will play a critical role in building and ...

Wondr Health

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data ... Must be knowledgeable of and comply with Wondr Health's Client Privacy Policy, HIPAA regulations ...

AaraTechnologies Inc

DATA ENGINEER

Washington, DC

$129K - $155K/yr

Data Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2 3 years experience) to support healthcare data ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join ... Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data ...

AMSG

$108K - $129K/yr

Defense Health Agency (DHA) * Department of Energy (DOE) * Department of Homeland Security (DHS ... Data Engineer ID: 1616 Location: Fort Eustis, VA Department: N/A More about this job > Description ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join ... Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data ...

AaraTechnologies Inc

DATA ENGINEER

Manhattan, NY

$126K - $151K/yr

Data Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2 3 years experience) to support healthcare data ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data ... We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data ...

LMI Consulting, LLC

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

Health Data Engineer - Mid Job Locations US-VA-Tysons Job ID 2026-13929 # of Openings 1 Benefit Type Salaried High Fringe/Full-Time Overview LMI is a new breed of digital solutions provider dedicated ...

Inizio Partners Corp

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Strong understanding of healthcare data systems and experience leading data engineering teams * Experience in Agile environments. * Excellent problem-solving skills and attention to detail.

Expleo

Data Engineer

Minneapolis, MN · On-site +1

$53 - $63/hr

Meaningful Impact - Support healthcare research and innovation by delivering trusted, highquality data * Technical Depth - Work handson with modern data architectures, ETL pipelines, and largescale ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits ...

Onebridge

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Kafka, Tableau • Strong understanding of healthcare data systems and experience leading data engineering teams • Experience in Agile environments. • Excellent problem-solving skills and ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to ... We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits ...

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All JobsData Engineer Interior Health Jobs

Data Engineer Interior Health information

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$46K

$165K

$243.5K

How much do data engineer interior health jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineer interior health in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a Data Engineer at Interior Health do?

A Data Engineer at Interior Health designs, develops, and maintains data infrastructure to support healthcare operations and analytics. They are responsible for building and optimizing data pipelines, ensuring secure and accurate data flow between systems, and preparing data for analysis by data scientists and other stakeholders. Their work helps improve patient care and organizational decision-making by making health data accessible and reliable. Data Engineers also collaborate with IT, clinical staff, and analysts to understand data needs and implement solutions aligned with healthcare regulations.

What are the key skills and qualifications needed to thrive as a Data Engineer at Interior Health, and why are they important?

To thrive as a Data Engineer at Interior Health, you need a solid background in computer science, database management, and data modeling, often supported by a relevant degree and experience in healthcare data environments. Proficiency with ETL tools, SQL, cloud platforms (such as Azure or AWS), and data warehouse solutions, as well as knowledge of privacy regulations like HIPAA, is typically required. Strong analytical skills, attention to detail, and effective communication are crucial for collaborating with stakeholders and ensuring data integrity. These skills and qualities are essential for building reliable data infrastructure that supports informed decision-making and quality patient care.

What is the difference between Data Engineer Interior Health vs Data Analyst Interior Health?

AspectData Engineer Interior HealthData Analyst Interior Health
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing databases, building infrastructureInterpreting data, creating reports, analyzing datasets
Employer & Industry UsageHealthcare organizations, hospitals, health authoritiesHealthcare providers, research institutions, health departments

Data Engineers in Interior Health focus on building and maintaining data infrastructure, while Data Analysts interpret and analyze data to support decision-making. Both roles are essential in healthcare data management but differ in technical scope and daily tasks.

How does a Data Engineer at Interior Health typically collaborate with clinical and administrative teams?

As a Data Engineer at Interior Health, you frequently work alongside clinical professionals, analysts, and administrative staff to design and maintain data pipelines that support healthcare operations and decision-making. Collaboration often involves gathering requirements, ensuring data accuracy, and making data accessible for reporting and analytics. You'll participate in cross-functional meetings to understand data needs, troubleshoot issues, and deliver insights that enable better patient care and operational efficiency. This teamwork fosters a dynamic environment where your technical expertise directly contributes to improving healthcare outcomes.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Posted 28 days ago

Job description

Who We Are:
We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.
What We Are Looking For:
We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.
Responsibilities:
Data Pipeline Development and Management:
  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:
  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:
  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:
  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:
  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:
  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.

Preferred Skills:
  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).

What We Offer:
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.

Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.

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