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Remote Analytics Engineer Jobs in Silver Spring, MD

Senior Engineer - Data Analytics

VA ยท On-site +1

$106K - $144K/yr

This is a remote position. Essential Duties and Responsibilities: - Responsible for delivery of ... design. - Analyze requirements and apply architectural and engineering concepts to develop ...

Software Engineer III

Arlington, VA ยท Remote

$165K - $190K/yr

... analysts, developers, and customer stakeholders--to deliver innovative, high-quality solutions that meet evolving business needs. Location: This is a remote opportunity Clearance: Active Secret ...

Senior Data Engineer

Herndon, VA ยท Remote

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... analytical, and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate ...

Senior Data Engineer

Herndon, VA ยท On-site +1

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... analytical, and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate ...

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Showing results 1-20

Remote Analytics Engineer information

See Silver Spring, MD salary details

$47K

$96.3K

$140.1K

How much do remote analytics engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote analytics engineer in Silver Spring, MD is $96,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $122,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are popular job titles related to Remote Analytics Engineer jobs in Silver Spring, MD? For Remote Analytics Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Silver Spring, MD look for? The top searched job categories for Remote Analytics Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Analytics Engineer jobs? Cities near Silver Spring, MD with the most Remote Analytics Engineer job openings:
Business Analyst (Fraud Analytics & Investigative Support)

Business Analyst (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 22 days ago


Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking an experienced Business Analyst to support advanced fraud analytics and investigative initiatives for a federal oversight organization. This individual will serve as the bridge between Government stakeholders and multidisciplinary technical teams by gathering requirements, documenting investigative and analytical use cases, and translating mission objectives into actionable technical requirements.
Working closely with Project Managers, Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Government stakeholders, the Business Analyst will ensure analytical solutions align with operational priorities, support fraud detection and program integrity objectives, and deliver meaningful value to investigators and oversight organizations.
The ideal candidate combines strong business analysis skills with an understanding of data analytics, investigative workflows, and Agile delivery practices. They are comfortable engaging both technical and non-technical audiences and enjoy transforming complex mission needs into clear, well-defined requirements that enable successful solution delivery.
Key Responsibilities
  • Collaborate with Government stakeholders to elicit, analyze, document, and validate business, functional, and analytical requirements.
  • Translate fraud detection, investigative, oversight, and program integrity objectives into user stories, acceptance criteria, business requirements, and technical artifacts.
  • Support development and refinement of analytic use cases that leverage data science, machine learning, artificial intelligence (AI), graph analytics, dashboards, and investigative reporting.
  • Facilitate requirements workshops, stakeholder meetings, backlog refinement sessions, sprint planning activities, demonstrations, and solution reviews.
  • Document business processes, workflows, data flows, process improvements, and operational concepts supporting fraud analytics initiatives.
  • Work closely with Data Scientists, Data Engineers, Graph Data Scientists, Investigative Analysts, and Forensic Accountants to clarify requirements and ensure technical solutions align with mission objectives.
  • Maintain requirements traceability throughout the project lifecycle and verify delivered capabilities satisfy stakeholder expectations.
  • Prepare project documentation, meeting summaries, decision logs, implementation plans, status reports, briefing materials, and stakeholder-ready deliverables.
  • Support quality assurance activities by reviewing deliverables for completeness, consistency, and alignment with documented requirements.
  • Assist in evaluating data sources, analytical capabilities, commercial tools, and technology solutions that support fraud detection and investigative missions.

Required Qualifications
  • Three (3) or more years of experience as a Business Analyst, Product Analyst, Requirements Analyst, Data Analyst, or similar role supporting analytics, data-driven solutions, or government technology programs.
  • Must have experience with Fraud Analysis
  • Experience gathering, documenting, and managing business and functional requirements for technical or analytical solutions.
  • Experience developing user stories, acceptance criteria, business process documentation, workflows, and other project artifacts.
  • Experience supporting Agile software development or analytics teams through sprint planning, backlog management, demonstrations, and iterative solution delivery.
  • Strong organizational skills with the ability to manage multiple priorities while coordinating across technical and business stakeholders.
  • Excellent written and verbal communication skills, including the ability to communicate complex analytical concepts to both technical and non-technical audiences.
  • Strong analytical thinking, problem-solving, and facilitation skills.

Preferred Qualifications
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting fraud detection, fraud prevention, financial crimes, program integrity, investigative support, or government oversight initiatives.
  • Working with federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other large-scale public-sector programs.
  • Collaborating with Offices of Inspector General (OIGs), law enforcement organizations, auditors, investigators, or government oversight stakeholders.
  • Supporting multidisciplinary delivery teams that include Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Project Managers.
  • Working with analytics, business intelligence, machine learning, artificial intelligence (AI), graph analytics, dashboards, or data visualization projects.
  • Understanding data sources, data quality, ETL processes, cloud analytics environments, and enterprise data management concepts.
  • Utilizing collaboration and project management tools such as Jira, Azure DevOps, Confluence, Microsoft Teams, SharePoint, Power BI, SQL, or comparable platforms.
  • Supporting enterprise data governance, data privacy, information sensitivity, and secure handling of government or investigative information.
  • Preparing executive briefings, requirements documentation, implementation plans, process flows, and stakeholder-facing communications for Government customers.

What We're Looking For
We're looking for a Business Analyst who enjoys bringing people, data, and technology together to solve complex mission challenges. The ideal candidate is equally comfortable facilitating discussions with Government stakeholders, collaborating with technical teams, and documenting requirements that enable innovative fraud analytics solutions. They are curious, organized, and mission-focused, with the ability to translate investigative and operational needs into actionable work that helps protect the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.