Remote Business Intelligence Engineer Jobs
Remote business intelligence engineer jobs are open across technology, finance, healthcare, and retail at remote-first companies and distributed enterprise teams, from junior BI analyst roles through senior engineers and principal architects. Companies hiring remotely right now include Humana, Xtensys Connected Health solutions, and Zillow. See the openings below and apply to the ones that match your experience.
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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 Power BI / Decision Intelligence Developer
Position Overview
- Position Type: Part-Time Consultant / Business Intelligence Specialist
- Target Allocation: 12–16 hours/week average (Note: Workload increases substantially during active dashboard construction phases, multi-agency onboarding waves, user acceptance testing, and final platform performance tuning).
- Location: Remote (U.S. Based) with periodic travel to Tallahassee, FL as required.
- Technical Reality: This project requires building highly specialized decision-intelligence dashboards rather than generic KPI displays. Reports must surface actionable anomaly data while preserving strict forensic evidence and source traceability.
- Compensation Type: Milestone / Deliverable-Based Fixed-Price Engagement.
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 ensuring that reports perform under strict quantitative limits, including maintaining dashboard page loads under 5 seconds and query filter responses under 2 seconds.
Principal Responsibilities
- Decision Intelligence Engineering: Develop advanced decision-intelligence dashboards that present automated anomaly and risk results alongside the granular, supporting transactional evidence needed by forensic investigators.
- Persona-Based Architecture: Build role-based workspace layouts that seamlessly toggle between high-level executive summaries for senior leadership and deep drill-through detail views for agency analysts.
- Scalable Multi-Agency Partitioning: Configure robust security boundaries to build agency-specific data views without creating separate, fragmented codebases or report files.
- Security Framework Enforcement: Implement rigorous role-based access control (RBAC) and row-level security (RLS) data-governance models to ensure individual state agencies can never see cross-agency data without explicit authorization.
- Value-Realization Modeling: Design and embed standardized, repeatable reporting metrics to quantify statewide oversight impacts, including potential cost avoidance, financial recoveries, identified risk exposure, generated investigative referrals, and realized oversight efficiencies.
- Performance Optimization: Execute deep query performance tuning, data modeling refinement, and calculation optimization to guarantee compliance with legally binding speed and latency contract thresholds.
- Data Quality & Lifecycle Validation: Build embedded data quality and ledger reconciliation reports to verify the continuous field completeness and cross-system correlation accuracy of the underlying data layers.
- Training & UAT Support: Lead hands-on report training sessions and facilitate user acceptance testing (UAT) workshops with state agency program staff, ensuring full system handover.
- Experience Baseline: 8+ years of comprehensive business intelligence, reporting infrastructure, or data analytics experience.
- Tool Stack Depth: 5+ years of advanced, hands-on enterprise Power BI development experience.
- Advanced Code Engineering: Mastery of advanced DAX expressions and Power Query/M script language for complex column manipulation and semantic modeling.
- Architecture Skill: Expert understanding of dimensional data modeling, star schemas, semantic layer development, and enterprise data warehousing.
- Detail Provisioning: Proven history configuring advanced drill-through actions, contextual filters, and transaction-level details views that retain full lineage to cloud data tables.
- Data Export Design: Experience establishing uniform reporting frameworks and export-ready formatting parameters for pristine PDF and Excel output retention.
- Cloud Integration: Documented experience connecting Power BI directly to advanced Azure data-source architectures.
- Collaborative Skills: Strong background participating in user requirements workshops, mapping business needs, and executing structured validation test scripts.
- Government Context: Verifiable history delivering data analytics or business intelligence solutions for local, state, military, or federal government entities.
- Accessibility Awareness: Structural familiarity with Section 508 accessibility guidelines and government reporting standards.
- 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.
- Prior experience configuring analytics dashboards inside secure Azure Government cloud environments.
- Hands-on experience developing reports that pull directly from Azure Databricks workspaces and Azure Data Lake Storage Gen2 (ADLS Gen2) foundations.
- Background building specialized dashboards for fraud detection, improper payments, procurement risk, contract auditing, or investigative case management.
- Experience deploying reports via automated Power BI deployment pipelines integrated with Git or Azure DevOps version-controlled repositories.
The State of Florida strictly evaluates and verifies all named staff experience for this contract. Generic resumes that only list generalized technical charts or vague summaries 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 reporting environment context (e.g., Department of Veterans Affairs, Health and Human Services).
- Report Scale & Complexity: Specify the exact size of the user base, the volume of underlying data streams integrated, and the precise project duration.
- Personal Engineering Contribution: Detail exactly what you personally coded or configured (e.g., "Engineered advanced DAX row-level security models," "Optimized semantic data models to resolve query latency bottlenecks").
- System Status: Explicitly state the true production, operational, or steady-state status of the dashboards you deployed.
- Quantifiable Delivery Results: Include the precise performance and quality metrics achieved, such as maintaining dashboard page loads under 5 seconds, query response times, or percentage numbers for data validation completeness.
“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".
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Who's Hiring


Top Industries Hiring
- Consulting & Professional Services
- Manufacturing
- Banking & Financial Services
- Retail
- Education
What Employers Look For
The qualifications that appear most often in remote business intelligence engineer jobs.
- Proficiency in SQL for complex data modeling and query optimization
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Hands-on work with BI tools including Tableau, Power BI, or Looker
- Knowledge of ETL and ELT pipeline development using tools like dbt or Informatica
- Bachelor's degree in computer science, engineering, statistics, or a related field
- Familiarity with Python or R for data transformation and automation tasks
Tips for Your Remote Business Intelligence Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote business intelligence engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through mixed location listings. Applying in the first 48 hours lifts your chances before a role fills.
Document your async work style visibly
Remote hiring managers screen for written clarity and self-direction before technical skills. Include a bullet on your resume or cover note describing how you've owned a reporting project, communicated findings in writing, or maintained documentation without daily check-ins.
Build a public portfolio of real BI deliverables
Publish a GitHub repo or a public Tableau or Power BI workspace with at least one end-to-end project: source data, a dbt or SQL model, and a finished dashboard. Remote employers use portfolios to test judgment and output quality before any interview.
Prepare for async-first remote interviews
Many remote BI teams run take-home SQL or dashboard exercises before any live screen. Practice writing clear analytical narratives alongside your query outputs, because remote interviewers weight written context almost as heavily as the technical answer itself.
Remote Business Intelligence Engineer Jobs: Frequently Asked Questions
How do I get a remote business intelligence engineer job?
Target remote-first technology companies, distributed SaaS teams, and financial services firms that have built async-first engineering cultures, because those employers expect business intelligence engineers to work independently without daily oversight. Demonstrate strong written communication through a clear portfolio of dashboards, data models, or pipeline documentation. Fluency in SQL, dbt, Looker, Tableau, or Power BI, paired with evidence you can scope and deliver projects without hand-holding, gives you the clearest edge.
Which companies hire remote business intelligence engineers?
Remote business intelligence engineer roles are posted by Humana, Xtensys Connected Health solutions, and Zillow and others right now, based on current remote listings on Migrate Mate as of August 2026. Remote-first SaaS companies, distributed fintech firms, and large healthcare and retail organizations with data-mature teams are consistently among the most active hirers for this role.
Can you get a remote business intelligence engineer job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to troubleshoot and self-direct without in-person support from day one. Early-career candidates do best targeting remote-first startups or companies with structured data apprenticeships. A public portfolio of SQL queries, a self-built Tableau or Power BI dashboard, or a documented personal data project can substitute for formal work history and open doors.
Do you need a degree for remote business intelligence engineer jobs?
Not always. Many remote employers care more about demonstrated SQL depth, experience with a BI platform like Looker or Power BI, and a portfolio showing real analytical output than a specific degree. A computer science, statistics, or information systems background can help at larger companies, but remote-first and startup teams routinely hire candidates whose GitHub or portfolio work speaks louder than credentials.
Which industries hire the most remote business intelligence engineers?
Most remote business intelligence engineer openings sit in Consulting & Professional Services, Manufacturing, and Banking & Financial Services, per current remote listings on Migrate Mate as of August 2026. Those sectors hire business intelligence engineers remotely because their data teams are distributed across time zones and rely on async reporting and self-serve dashboards to keep stakeholders aligned without co-located standups.
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