Remote Big Data Analyst Jobs
Remote Big Data Analyst jobs are in strong demand across the U.S., with remote-first companies and distributed engineering teams actively hiring to process and interpret large-scale datasets. Industries from fintech to healthcare to e-commerce rely on remote big data analysts, and employers hiring right now include Zillow, Trinzic, and AAA Northeast. Find a role that fits below and apply directly.
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See related jobs- Niceville, Florida
- Denver, Colorado
- Huntsville, Alabama
- Los Angeles, California
- Tampa, Florida
- Washington, District of Columbia
Title:
Big Data Systems EngineerAt KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.
Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.
Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.
Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.
At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.
Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions. Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.
Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
Responsibilities:
- The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs.
- As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.
- This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.
- You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.
- Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs
- Deploy CHEETAS within customer environments
- Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise
- Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity
Work Environment:
- Location: Remote - The candidate can either work in one of KBR’s facilities or work from home, with a stable internet connection.
- Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).
- Working Hours: Standard
Basic Qualifications/Knowledge:
- Must have an active TS/SCI Security Clearance to be considered for this position.
- This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.
- Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)
- Previous experience must include five (5) years of hands-on experience in big data environments.
- Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.
- Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.
- Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.
- Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.
- Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.
- Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.
- Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).
- Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.
- Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.
- Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.
- Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.
- Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.
- Excellent testing, debugging and problem-solving skills are required to be successful in this position.
- Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.
- Ability to speak and present findings in front of large groups.
- Ability to document and repeat procedures.
- This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.
Preferred Qualifications:
- Experience working in government/defense labs and their computing restrictions.
- Experience working with major DoD acquisition programs.
- Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.
- Experience with working in distributed team environment.
- Ability to teach and mentor engineers with a variety of skill levels and backgrounds.
- Knowledge of DoD cybersecurity policies.
Basic Compensation:
$145,000 - $198,000 (For the Colorado Area only)
$158,000 - $215,000 (For the California Area Only)
$158,000 - $215,00 (For the Washington, DC Area Only)
The offered rate will be based on the selected candidate’s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentive
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
- Niceville, Florida
- Denver, Colorado
- Huntsville, Alabama
- Los Angeles, California
- Tampa, Florida
- Washington, District of Columbia
Title:
Big Data Systems EngineerAt KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.
Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.
Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.
Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.
At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.
Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions. Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.
Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
Responsibilities:
- The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs.
- As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.
- This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.
- You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.
- Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs
- Deploy CHEETAS within customer environments
- Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise
- Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity
Work Environment:
- Location: Remote - The candidate can either work in one of KBR’s facilities or work from home, with a stable internet connection.
- Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).
- Working Hours: Standard
Basic Qualifications/Knowledge:
- Must have an active TS/SCI Security Clearance to be considered for this position.
- This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.
- Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)
- Previous experience must include five (5) years of hands-on experience in big data environments.
- Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.
- Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.
- Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.
- Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.
- Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.
- Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.
- Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).
- Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.
- Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.
- Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.
- Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.
- Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.
- Excellent testing, debugging and problem-solving skills are required to be successful in this position.
- Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.
- Ability to speak and present findings in front of large groups.
- Ability to document and repeat procedures.
- This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.
Preferred Qualifications:
- Experience working in government/defense labs and their computing restrictions.
- Experience working with major DoD acquisition programs.
- Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.
- Experience with working in distributed team environment.
- Ability to teach and mentor engineers with a variety of skill levels and backgrounds.
- Knowledge of DoD cybersecurity policies.
Basic Compensation:
$145,000 - $198,000 (For the Colorado Area only)
$158,000 - $215,000 (For the California Area Only)
$158,000 - $215,00 (For the Washington, DC Area Only)
The offered rate will be based on the selected candidate’s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentive
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
See All 5 Remote Big Data Analyst Jobs
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Find Remote Big Data Analyst JobsRemote Big Data Analyst Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote big data analyst jobs.
- Proficiency in SQL, Python, or Scala for large-scale data processing
- Hands-on experience with distributed computing frameworks such as Hadoop or Spark
- Familiarity with at least one major cloud data platform, AWS, GCP, or Azure
- Bachelor's degree in computer science, statistics, mathematics, or a related field
- Experience building or maintaining ETL and data pipeline workflows
- Ability to communicate analytical findings to non-technical stakeholders through visualization tools
Tips for Your Remote Big Data Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote big data analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through listings that aren't actually remote.
Show async collaboration in your portfolio
Remote employers want proof you can work without real-time hand-holding. Document your big data projects with written summaries covering the problem, your approach, the tools you used, and the outcome, so hiring managers can assess your thinking without an interview first.
Highlight distributed data infrastructure experience
Remote big data analyst roles frequently involve cloud-native pipelines on AWS, GCP, or Azure. Call out specific hands-on experience with managed services like EMR, Dataflow, or Databricks, since remote teams depend on analysts who already know the tools their infrastructure runs on.
Prepare for asynchronous technical screens
Many remote-first companies use take-home assessments rather than live coding rounds. Practice writing clean, well-commented code and clear written explanations of your data modeling decisions, since remote hiring panels often evaluate your documentation quality as much as your technical output.
Remote Big Data Analyst Jobs: Frequently Asked Questions
How do I get a remote big data analyst job?
Remote big data analyst roles go to candidates who can demonstrate strong self-direction and clear written communication alongside technical depth. Remote employers screen for proficiency in tools like Hadoop, Spark, and cloud platforms, plus the ability to scope problems and deliver insights without close supervision. A portfolio of independent projects and experience with async collaboration tools gives candidates a real edge over equally skilled applicants who lack remote-ready work habits.
Which companies hire remote big data analysts?
Companies hiring remote big data analysts right now include Zillow, Trinzic, and AAA Northeast, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed financial services teams, and large healthcare organizations account for a significant share of these openings, as their data infrastructure is built to support analysts working across time zones.
Can you get a remote big data analyst job with no experience?
Yes, but remote entry-level big data analyst roles are harder to land because employers expect you to operate independently from day one. Cloud platforms like AWS or Google Cloud offer free training tiers that let you build real project work, and contributing to open-source data pipelines demonstrates initiative that hiring managers notice. Remote-first startups and data consultancies are more likely than large enterprises to hire entry-level candidates who show strong self-taught fundamentals and documented project outcomes.
Do you need a degree for remote big data analyst jobs?
Not always. Many remote employers weigh demonstrated skills, a portfolio of data work, and certifications in tools like Spark, Kafka, or cloud services over a formal degree, particularly at the mid-level and above. That said, roles at large enterprises or those involving regulated data, such as healthcare or finance, often still list a bachelor's in computer science, statistics, or a related field as a baseline requirement.
See All 5 Remote Big Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Big Data Analyst Jobs