Remote Data Integration Engineer Jobs
Remote Data Integration Engineer jobs are in steady demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for pipeline, ETL, and data platform work in sectors like software, healthcare, and financial services. Employers hiring remotely right now include Peraton, Wittij Consulting, and IBT. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 1 of 28+ Remote Data Integration Engineer jobs



Chameleon Integrated Services has expertise in operations management, quality systems, data operations and cybersecurity. We secure some of the most sensitive data for the Department of Defense and for other U. S. federal government agencies. We are known for the great care we take with clients and employees, and we believe in promoting from within.
Senior Government Data Integration Architect / NIEM Architect
Position Overview
- Position Type: Part-Time Consultant / Technical Architecture Specialist
- Target Allocation: 18–22 hours/week average (Note: Workload is heavily concentrated around Deliverable 4, which requires the complex architectural reconciliation of data models across legacy systems including MFMP, FACTS, FLAIR, PALM, and the DFS Data Warehouse).
- Location: Remote (U.S. Based) with periodic travel to Tallahassee, FL as required.
- Technical Reality: Evaluators for this project can easily distinguish between ordinary corporate ETL experience and true standards-based government information exchange. Actual hands-on experience deploying standardized data-exchange models is mandatory.
This platform will unify statewide oversight, tracking abnormal spending patterns, contract vulnerabilities, and fraud/waste/abuse risks across up to 35 state agencies. Because this is a high-visibility, firm-fixed-price (FFP) state government contract, you will maintain absolute technical accountability for designing data architectures that align strictly with the National Information Exchange Model (NIEM) to ensure long-term, vendor-neutral state operations.
Principal Responsibilities
- NIEM Compliance Ownership: Lead the structural strategy for NIEM compliance and compatibility, detailing exact plans for NIEM conformance levels, component reuse, domain extensibility, and constraint mitigation.
- Canonical Modeling: Define, build, and maintain the platform's canonical data model to standardize information formatting across all ingested state datasets.
- Cross-System Mapping: Develop a unified cross-system mapping and standardization framework to reconcile critical field differences, schema variations, timing misalignments, and data quality gaps across legacy source systems.
- Entity Resolution: Design and implement record-linkage models and identifier normalization logic to accurately track unique vendors and transactions across completely separate agency databases.
- Source Coordination: Act as the primary technical point of contact for source-system data owners across different state departments to resolve field clarifications, mapping guidance, and legacy database nuances.
- Documentation Delivery: Produce comprehensive data dictionaries, transformation documentation, source-to-canonical lineages, and highly detailed data-exchange specifications in open, editable formats.
- Onboarding Optimization: Map out and support the ingestion pipelines for core procurement modules, including invoices, purchase orders, contracts, vendor information portal ledgers, and downstream financial fields.
- Reusable Patterns: Build reusable, automated data-mapping templates to accelerate and standardize the onboarding workflows for the initial wave of 8–10 state agencies.
Required Qualifications
- Experience Baseline: 8+ years of comprehensive enterprise data integration, data warehousing, or data architecture experience.
- Government Depth: 3+ years of dedicated, hands-on data integration experience working inside a federal, state, or local government framework.
- NIEM Mastery: Documented, verifiable experience designing and executing NIEM-conformant or NIEM-compatible information exchanges.
- Domain Architecture: Advanced structural familiarity with NIEM domains, data components, exchange specifications, and extension rules.
- Mapping Expertise: Extensive background executing complex source-to-target mapping, data profiling, metadata logging, and data-lineage cataloging.
- Exchange Protocols: Proven experience managing both structured and semi-structured data-exchange formats, including JSON, XML, REST APIs, CSV flat files, database views, and automated batch/SFTP pathways.
- Data Quality Engineering: Strong track record establishing automated cross-system data reconciliation scripts and automated validation profiling rules.
- Vetting & Location: Must be a U.S.-based citizen or resident. Must be able to successfully clear an FDLE Level II background screening (including fingerprinting) within 5 business days of contract award.
Strong Preferences
- Direct experience integrating or mapping data from legacy state financial and procurement architectures.
- Working data domain familiarity regarding procurement workflows, contract activities, purchasing cards, state vendor payments, or grant management ledgers.
- Hands-on data engineering experience leveraging Azure Databricks workspaces and Azure Data Lake Storage Gen2 (ADLS Gen2).
- Deep technical specialization in master data management (MDM) or advanced programmatic entity resolution.
- Working knowledge of secure government interoperability models or federated identity standards beyond basic NIEM implementations.
MANDATORY RESUME FORMATTING INSTRUCTIONS
The State of Florida strictly evaluates and verifies all named staff experience for this contract. Generic resumes that only list generalized technical keywords or traditional corporate ETL tasks without specific government frameworks will be automatically rejected.
To be considered for this role, your resume must explicitly detail the following metadata for your past contract positions:
- The Government Customer: Explicitly name the agency and the specific interoperability framework utilized (e.g., Department of Justice, State Revenue Office).
- The Specific NIEM Implementation: Detail exactly how you applied NIEM standards, naming the specific domains, extensions, or information exchange package documentation (IEPD) you personally engineered.
- System Integration Complexity: Specify the exact systems you connected (e.g., legacy mainframe, REST APIs), data volumes, and precise project duration.
- Personal Contribution: Detail exactly what you personally built or documented (e.g., "Authored source-to-canonical schema mappings for vendor payments," "Coded entity resolution scripts for transaction matching").
- Deployment Status: Explicitly state the true production, operational, or steady-state status of the information exchange platform.
- Quantifiable Results: Include the precise metrics achieved under your guidance, such as data completeness percentages, integration success rates, or volume of record-count variances eliminated.
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status”
Texting Privacy Policy
- Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
- No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
- Message frequency will vary depending on the application process.Msg & data rates may apply.
- OPT out at any time by texting "Stop".
YGjgXrvIfl
See All 28 Remote Data Integration Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Data Integration Engineer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Consumer Goods
- Food & Beverage
- Construction & Real Estate
What Employers Look For
The qualifications that appear most often in remote data integration engineer jobs.
- Proficiency in SQL and at least one ETL or ELT tool such as Informatica, Talend, or dbt
- Experience designing and maintaining data pipelines on AWS, Azure, or Google Cloud Platform
- Strong programming skills in Python, Java, or Scala for pipeline scripting and automation
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or Luigi
- Experience integrating REST or SOAP APIs and working with JSON or XML data formats
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Remote Data Integration Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data integration engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through non-remote listings mixed into broader job feeds.
Build a public portfolio of pipeline work
Remote employers can't watch you work, so they rely on evidence. Publish ETL workflows, data modeling projects, or API integration scripts to GitHub with clear README documentation explaining your design decisions and the problem each project solved.
Signal async communication skills in your application
Remote data integration teams run on written communication. Use your cover letter and any take-home exercises to show you can write precise technical specs, document data flows clearly, and raise blockers in a way that moves work forward without a meeting.
Target remote-first companies over hybrid postings
Remote-first companies have built their engineering workflows around distributed teams, which means clearer async processes, better tooling, and less pressure to eventually relocate. Look for companies whose entire engineering org is distributed, not just teams with one remote seat open.
Remote Data Integration Engineer Jobs: Frequently Asked Questions
How do I get a remote data integration engineer job?
Remote data integration engineer roles go to candidates who can demonstrate self-direction and clear async communication alongside strong technical skills. Remote employers screen for hands-on experience with ETL tools, cloud data platforms, and SQL, plus the ability to troubleshoot pipelines independently without an in-office team nearby. Documenting your integration projects publicly, writing clean technical specs, and showing you can communicate across time zones gives you a real edge over candidates with similar technical skills but no remote work history.
Which companies hire remote data integration engineers?
Employers currently hiring remote data integration engineers include Peraton, Wittij Consulting, and IBT, per current remote listings on Migrate Mate as of August 2026. Remote-first software companies, distributed data platform teams, and organizations in healthcare and financial services are among the most consistent hirers of this role outside a physical office.
Can you get a remote data integration engineer job with no experience?
Yes, but remote entry-level data integration roles are harder to land because employers expect you to debug pipeline failures and manage your own workflow without daily supervision. Remote-first startups and mid-size SaaS companies are the most open to junior candidates. A GitHub portfolio showing real ETL builds, data modeling work, or open-source contributions can substitute for formal experience and open doors that a resume alone won't.
Do you need a degree for remote data integration engineer jobs?
Not always. Many remote employers care more about what you can build and ship than whether you hold a formal degree. Demonstrated proficiency in tools like Spark, dbt, Airflow, or cloud data warehouses, combined with a portfolio of completed integration projects, carries significant weight. A degree in computer science or a related field helps, but candidates who can show results from real projects regularly compete on equal footing.
Which industries hire the most remote data integration engineers?
Most remote data integration engineer openings sit in Technology & Software, Insurance, and Consumer Goods, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed engineering teams that need to move data between cloud systems, third-party APIs, and internal platforms regardless of where the engineers are located.
See All 28 Remote Data Integration Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs