Remote Analytics Engineer Jobs
Remote analytics engineer jobs are actively hiring across the U.S. at remote-first firms and distributed data teams in software, finance, healthcare, and e-commerce. Employers hiring remotely right now include BlueFlag LLP, Fearless, and Block. See the openings below and apply to the ones that match your experience.
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US Based Position. Must be US Citizen.
Location: Arlington VA(U.S.-based). Remote Work Allowed in US.
Employment Type: Full-Time
Company: Technology & Business Management, Inc. (TBM Inc.)
Experience Level
8+ years in security analytics/SIEM engineering with 4+ years of advanced Splunk engineering; hands-on dashboarding, SPL, alerting, data onboarding, and automation required.
Position Summary
Own DLP telemetry, analytics, dashboards, alerting, automation, and measurable optimization in Splunk, while supporting Government-approved SOAR/RPA and bounded AI/ML use cases.
Key Responsibilities
Engineer and maintain Splunk ingestion, normalization, searches, dashboards, reports, alerts, health metrics, event-volume trends, and operational/executive DLP reporting.
Develop SPL queries and documented calculations that Government personnel can reproduce and sustain.
Integrate telemetry from Symantec/Broadcom, Purview, Palo Alto, and other authorized DLP/security platforms.
Design automated notifications, alerts, alarms, and Government-authorized SOAR/RPA workflows to reduce manual triage and improve response.
Support event correlation, incident analytics, severity/prioritization, trend analysis, and detection-performance measurement.
Evaluate approved AI/ML-enabled capabilities to reduce false positives, identify notable events, improve triage, and reduce analyst workload; establish baseline/candidate comparisons and rollback criteria.
Track metrics such as false positives, false negatives where measurable, alert volume, time-to-triage/disposition, stability, workload, and business impact.
Document data definitions, dashboard maintenance, automation logic, model/configuration tuning, test evidence, limitations, procedures, and Government training.
Required / Critical Skills
Splunk Enterprise / Splunk ES; SPL; dashboards; data models; alerts; field extraction; ingestion/onboarding; CIM; APIs; security analytics; incident correlation.
Splunk SOAR or comparable orchestration/automation; Python or scripting; REST APIs; JSON; data normalization.
Understanding of DLP events/policies, SOC workflows, detection engineering, false-positive reduction, and security KPIs.
Practical AI/ML analytics knowledge with emphasis on explainability, human review, validation, privacy/security controls, and measurable benefit rather than custom model research.
Splunk Core Certified Power User/Admin/Architect or Splunk Enterprise Security certification strongly preferred.
Preferred Qualifications
Experience with Qmulos, federal continuous monitoring/FISMA reporting, or large federal Splunk environments.
Experience integrating DLP products into SIEM/SOAR workflows.
Current Public Trust/MBI or clearance.
Education
Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, Information Systems, or a related field is preferred. Equivalent directly relevant experience and advanced industry certifications may be considered, subject to the applicable contract labor-category requirements.
Federal Suitability / Security
Candidate must be able to meet IRS personnel-security and suitability requirements for the position, including the applicable background investigation and required security/privacy training. A current favorably adjudicated federal Public Trust/MBI or other investigation that may qualify for reciprocity is highly desirable.
What Will Make a Candidate Stand Out
Direct hands-on experience with the named platform(s), not only governance or oversight.
Recent enterprise production experience supporting sensitive or regulated information.
Ability to explain specific examples of troubleshooting, policy/rule tuning, testing, incident support, measurable improvement, and documentation.
Federal customer experience and demonstrated ability to work within controlled access, change, audit, and documentation processes.
Ability to become productive quickly and communicate effectively with both engineers and Government stakeholders.
Why Join TBM Inc.
- Support high-impact federal missions
- Work on strategic IT modernization programs
- Join a fast-growing federal consulting firm
- Collaborate with experienced government and industry leaders
- Opportunity to grow into senior consulting and portfolio management roles
How to Apply
Interested candidates should apply via Indeed with their resume. Qualified applicants will be contacted for next steps.
TBM Inc. is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.
Job Type: Full-time
Pay: $145,000.00 - $155,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Retirement plan
- Tuition reimbursement
- Vision insurance
Work Location: Remote
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Find JobsRemote Analytics Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote analytics engineer jobs.
- Proficiency in SQL and experience writing complex analytical queries
- Hands-on experience with dbt for data modeling and transformation
- Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
- Ability to work with data pipelines and orchestration tools like Airflow or Dagster
- Bachelor's degree in computer science, statistics, mathematics, or a related field
- Experience collaborating with data analysts and data engineers on cross-functional projects
Tips for Your Remote Analytics Engineer Job Search
Show async communication in your materials
Remote analytics engineer teams rely on written documentation over meetings. Include examples of technical write-ups, dbt model documentation, or Slack-style async updates in your portfolio so hiring managers can see how you communicate context without being in the room.
Apply early to remote roles that fit
Migrate Mate lists remote analytics engineer openings from across the U.S. in one place. Check regularly and apply to roles that match your stack early, remote positions often close faster than on-site roles because the candidate pool is national.
Demonstrate self-direction through documented project work
Remote employers want evidence you can scope, build, and ship data models without daily oversight. Publish a dbt project on GitHub with a clear README explaining your design decisions, it shows the independent judgment remote analytics engineering requires.
Prepare for async-first remote interviews
Many remote analytics engineer hiring processes include a take-home SQL or dbt modeling exercise evaluated asynchronously. Practice writing clean, well-commented transformation logic and be ready to walk through your decisions in a recorded or written format rather than a live whiteboard session.
Remote Analytics Engineer Jobs: Frequently Asked Questions
How do I get a remote analytics engineer job?
Target companies with distributed data teams, remote-first SaaS firms, fintech companies, and digital-native businesses hire analytics engineers remotely most consistently. Remote employers screen hard for self-direction, clear async written communication, and hands-on dbt, SQL, and data modeling skills. A portfolio of public dbt projects or documented data pipeline work gives you a concrete edge over candidates without one.
Which companies hire remote analytics engineers?
Companies hiring remote analytics engineers right now include BlueFlag LLP, Fearless, and Block, based on current remote listings on Migrate Mate as of September 2026. Remote-first software companies, distributed fintech teams, and healthcare technology firms make up the largest share of remote analytics engineer openings.
Can you get a remote analytics engineer job with no experience?
Yes, but remote entry-level analytics engineer roles are harder to land because employers expect you to operate independently from day one with minimal hand-holding. Smaller remote-first startups and data consultancies are the most likely to hire junior candidates. A portfolio showing real dbt models, documented transformation logic, or a public GitHub project can substitute effectively for paid experience.
Do you need a degree for remote analytics engineer jobs?
Not always. Many remote employers care more about demonstrated dbt, SQL, and data warehouse skills than a specific credential, especially at remote-first tech and fintech companies where practical output is easy to evaluate asynchronously. A strong portfolio, open-source contributions, or verifiable project work carries significant weight alongside or instead of a degree.
Which industries hire the most remote analytics engineers?
Most remote analytics engineer openings sit in Technology & Software, Manufacturing, and Consulting & Professional Services, per current remote listings on Migrate Mate as of September 2026. These sectors run distributed data teams that depend on analytics engineers to maintain transformation pipelines and reporting infrastructure without requiring in-office presence.
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