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Data Integration Engineer Jobs (NOW HIRING)

Data Integration Engineer

Austin, TX · On-site

$103K - $138K/yr

Overview JOB SUMMARY The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on ...

Data Integration Engineer - Remote

DC · Remote

$106K - $143K/yr

Job Title Data Integration Engineer Reports to: Manager/Director Engineering-Integration Functional Group: Engineering Location: Remote - Company is 100% remote - always has been Engagement ...

Data Integration Engineer

Austin, TX · On-site

$104K - $141K/yr

JOB SUMMARY The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on-premise and ...

Data Integration Engineer

Austin, TX · On-site

$104K - $141K/yr

Overview JOB SUMMARY The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on ...

Data Integration Engineer

New York, NY · On-site

$125K - $139K/yr

About the Role As a Data Integration Engineer at Riskified, you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from ...

Data Integration Engineer

Cary, NC · Hybrid

$106K - $127K/yr

By leveraging on-premises and cloud technology, the Data Integration Engineer will ensure the efficient and reliable flow of data across the organization. This role is essential in enabling data ...

Data Integration Engineer

Cary, NC · On-site

$106K - $127K/yr

By leveraging on-premises and cloud technology, the Data Integration Engineer will ensure the efficient and reliable flow of data across the organization. This role is essential in enabling data ...

Data Integration Engineer

New York, NY · On-site +1

$125K - $139K/yr

About the Role As a Data Integration Engineer at Riskified, you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from ...

$127K - $153K/yr

Position Summary We are seeking a Data Integration Engineer to support data engineering, system integration, and analytics efforts for DISN network topology and operational data. This role focuses on ...

$75K - $95K/yr

We are searching for a Data Integration Engineer to play a critical role in navigating complex integration related needs, from initial client onboarding to the daily platform usage of existing ...

Data Integration Engineer

Denver, CO · On-site

$100K - $115K/yr

Position Overview The Data & AI Integration Engineer is based in Denver and reports to the VP of Data & Analytics. This role sits at the center of Northwood's data platform build-out: a Snowflake and ...

Data Integration Engineer

Alpharetta, GA · On-site

$101K - $136K/yr

Overview About the role You will join ASCENT (AI Services for Continuous Enterprise Transformation) as a Forward Deployed Data Integration Engineer, based in Alpharetta. You will design, build, and ...

Work closely with internal product, engineering, and customer success teams to align integration efforts with platform capabilities and customer goals. * Document integration workflows, data mappings ...

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

SourceDay needs someone who has the experience in developing data integrations of third-party ... If you answered yes to all of these then you will enjoy being a part of the SourceDay's engineering ...

Work closely with internal product, engineering, and customer success teams to align integration efforts with platform capabilities and customer goals. * Document integration workflows, data mappings ...

$84K - $101K/yr

We are searching for a Data I ntegration Engineer to play a critical role in navigating complex integration related needs, from initial client onboarding to the daily platform usage of existing ...

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

SourceDay needs someone who has the experience in developing data integrations of third-party ... If you answered yes to all of these then you will enjoy being a part of the SourceDay's engineering ...

Showing results 41-60

Data Integration Engineer information

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How much do data integration engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data integration engineer in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What is a data integration engineer?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

What are the key skills and qualifications needed to thrive as a data integration engineer?

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What are some common challenges data integration engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

What is the difference between Data Integration Engineer vs Data Engineer?

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What does a data integration engineer do?

A data integration engineer designs, develops, and maintains systems that combine data from multiple sources to ensure accurate and efficient data flow within an organization. They often use tools like ETL (Extract, Transform, Load) processes, SQL, and data pipelines, and require knowledge of databases and scripting languages. Their work supports data analysis, reporting, and decision-making processes.
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Infographic showing various Data Integration Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.

Data Integration Engineer

Austin, TX • On-site

Central Health
Health Care and Social Assistance • 51 - 200 employees

$103K - $138K/yr

Other

Posted 5 days ago


Job description

Overview

JOB SUMMARY

The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on-premise and cloud environments. Primary platforms include Boomi Integration (iPaaS) and Boomi Data Integration for application and data workflows; Snowflake for cloud data warehousing; and Microsoft Azure services for orchestration, compute, and API management. The role enables interoperability using standards such as RESTful APIs, HL7 v2.x messaging, X12 EDI claims transactions (e.g., 270/271, 276/277, 834, 835, 837, 999/TA1), and FHIR APIs. The engineer ensures secure, reliable, and compliant data exchange among internal systems (EHR, revenue cycle, operations) and external partners (payers, state agencies, and vendors).

This role is central to the organization's modern data platform strategy, including event-driven integration patterns, medallion/lakehouse data architecture in Snowflake and Azure Data Lake Storage Gen2, AI/ML data pipeline readiness, and compliance with CMS interoperability mandates. The engineer partners closely with architects, data scientists, clinical informatics teams, and external vendors to deliver trusted, high-quality data products across the system.

Responsibilities

Essential Functions

  • -Boomi Integration Design & Development: Design, build, and maintain enterprise integrations using Boomi Integration (iPaaS) — including process workflows, connector configuration (HTTP/S, SQL, SFTP, HL7, EDI), decision logic, and robust error handling and retry patterns.
  • -Epic EHR & Clinical System Integrations: Develop and support Epic-sourced integrations with diagnostic machines, medical devices, lab systems, and other clinical applications — including ADT, ORU, SIU, ORM, VXU, and DFT message flows. Serve as the primary technical resource for Epic interface build and troubleshooting.
  • -Vendor & Partner Data Integrations: Build and maintain integrations with external vendors, payers, state agencies, and third-party data sources — including inbound/outbound file-based (SFTP, flat file, CSV, JSON, XML) and APIbased exchange patterns. Coordinate with vendor technical contacts for onboarding and issue resolution.
  • -Healthcare Interoperability (HL7, X12 EDI, FHIR): Develop, parse, validate, and transform HL7 v2.x messages and X12 EDI transactions (270/271, 276/277, 834, 835, 837, 999/TA1). Design and support FHIR R4 APIs — including Patient Access, Provider Directory, and Payer-to-Payer exchange — aligned with CMS interoperability mandates and SMART on FHIR authorization.
  • -RESTful API Development & Management: Design, implement, and maintain secure RESTful APIs. Enforce standards for versioning, authentication (OAuth 2.0/JWT), rate limiting, and error handling. Manage APIs through Azure API Management. Create and maintain OpenAPI/Swagger specifications.
  • -Event-Driven Integration: Design and implement event-driven integration patterns using Azure Event Hubs and/or Service Bus to support near-real-time clinical and operational data exchange between systems. Evaluate Apache Kafka / Confluent for use cases requiring true streaming.
  • -Boomi Atom & Environment Management: Configure, deploy, and manage Boomi Atoms and Atom Clouds across environments (dev, test, prod). Maintain environment promotion pipelines using CI/CD practices (Azure DevOps / GitHub Actions) and adhere to version control and release management standards.
  • -Data Landing to Snowflake & Azure: Develop and maintain integration pipelines that reliably land and stage data in Snowflake (via Snowpipe, external stages, and Streams) and Azure Data Lake Storage Gen2, in alignment with data structures and contracts defined by the Data Engineering team.
  • -Integration Security & HIPAA Compliance: Ensure all integrations comply with HIPAA, CMS interoperability rules, and organizational security policies. Manage credentials and secrets via Azure Key Vault. Apply zero-trust principles, including private endpoints and VNet integration, for pipelines carrying PHI. Implement PHI deidentification where required for analytics use cases.
  • -Error Handling, Monitoring & Alerting: Implement comprehensive error detection, exception handling, and alerting across all Boomi-based integrations. Configure monitoring dashboards and threshold-based alerting using Boomi AtomSphere monitoring and Azure Monitor. Maintain SLA commitments for data freshness and delivery.
  • -Incident Response & Advanced Support: Serve as the escalation point for integration and API incidents. Conduct root cause analysis, implement fixes, and communicate resolution status to stakeholders. Provide on-call support when required for critical integration failures.
  • -Quality Assurance & Data Validation: Perform unit testing, peer code reviews, and integration testing for all developed solutions. Implement data validation and reconciliation checks at integration boundaries. Adhere to team coding standards and maintain version control for all integration assets.
  • -Technical Documentation: Create and maintain integration specifications, interface control documents, message mapping guides, sequence diagrams, and operational runbooks in the team knowledge repository (Confluence or equivalent). Keep documentation current with every change.
  • -Cross-Functional Collaboration: Partner with architects, Data Engineering, clinical informatics, QA, PMO, and business stakeholders to define integration requirements and deliver solutions. Coordinate handoff points and data contract agreements with the Data Engineering team. Communicate risks, issues, and dependencies proactively.
  • -Vendor Coordination & Oversight: Assist with technical relationships with integration vendors, interface engine vendors, and payer/partner technical contacts. Participate in onboarding, scoping, and troubleshooting of thirdparty integration components. Escalate vendor performance issues as needed.
Qualifications

MINIMUM EDUCATION:

  • -Bachelors degree in computer science or a related field
  • -Associate's degree in computer science or a related field with 2 years of additional experience
  • -High school diploma/equivalent with 4 years of additional experience

REQUIRED EXPERIENCE:

  • -1 year in Healthcare IT
  • -1 year as an application, database, and/or integration developer
  • -1 year with an integration platform (Boomi, Mirth Connect, Cloverleaf, MuleSoft, or equivalent)
  • -1 year with ETL platforms such as Pentaho, Informatics, Talend, and/or SSIS
  • -1 year with at least one healthcare interoperability standard: HL7 v2.x, X12 EDI, or FHIR APIs
  • -2 years with SQL

REQUIRED LICENSURE/CERTIFICATIONS:

  • -EPIC Bridges Interfaces certification (within 6 months of hire)
  • -Boomi Professional Integration Developer certification (within 6 months of hire)
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