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Remote Analytics Engineer Jobs in Germantown, MD

Lead Data Analytics Engineer

Washington, DC ยท Remote

$160K - $230K/yr

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

Senior Business Intelligence Engineer

Herndon, VA ยท Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Business Intelligence Engineer to lead the design, development, and ... Experience building customer-facing analytics products. * Experience mentoring teams in a remote ...

... Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote ... Review and analyze software runtime performance, making algorithmic and performance improvements.

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Remote Analytics Engineer information

See Germantown, MD salary details

$46K

$94.2K

$136.9K

How much do remote analytics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote analytics engineer in Germantown, MD is $94,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $119,200.00 per year, depending on experience, location, and employer.

What is a remote analytics engineer?

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 as a remote analytics engineer?

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 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 are popular job titles related to Remote Analytics Engineer jobs in Germantown, MD?

For Remote Analytics Engineer jobs in Germantown, MD, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in Germantown, MD look for?

The top searched job categories for Remote Analytics Engineer jobs in Germantown, MD are:

What cities near Germantown, MD are hiring for Remote Analytics Engineer jobs?

Cities near Germantown, MD with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in Germantown, MD as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $94,159 per year, or $45.3 per hour.

Lead Data Analytics Engineer

@Orchard

Washington, DC โ€ข Remote

$160K - $230K/yr

Full-time

Posted 19 days ago


Job description

Lead Data Analytics Engineer

Remote/Work from Home within the United States

Must be a U.S. Citizen with an active or interim Secret Clearance.

@Orchard LLC has an immediate need for a Lead Analytics Engineer / Data Analytics SME to serve as a technical leader supporting enterprise data modernization, financial analytics, and executive decision support for a Department of War client. This individual will function as both a hands-on technical expert and client-facing lead, guiding data engineering efforts, shaping analytical products, mentoring team members, and partnering with senior stakeholders to solve complex financial management and resource planning challenges.

Your responsibilities as a Financial Reporting Consultant. 

·        Lead the design, development, integration, and governance of enterprise analytics solutions supporting financial and programmatic decision-making.

·        Architect scalable data pipelines and analytical environments using Databricks, Python, SQL, PySpark, and related technologies.

·        Guide the integration of financial, operational, and programmatic data from multiple authoritative systems.

·        Lead requirements gathering sessions with client stakeholders and translate strategic business questions into technical and analytical approaches.

·        Support PPBE, budget execution, financial analysis, forecasting, scenario modeling, and resource planning activities.

·        Oversee development of executive dashboards, scorecards, analytical reports, and senior leadership briefing materials.

·        Establish and reinforce data governance practices, including data quality controls, lineage, metadata, business rules, documentation, and auditability.

·        Mentor analysts, engineers, and developers while remaining hands-on with technical delivery.

·        Support testing, implementation, configuration management, documentation, and change management activities.

·        Recommend improvements to reporting processes, data management practices, business workflows, and decision-support products.

Your background will include. 

·        Bachelor's degree in business, data, or a relevant field

·        8+ years of experience supporting enterprise analytics, data engineering, business intelligence, or financial data initiatives.

·        Demonstrated experience leading technical projects, workstreams, or client-facing analytics engagements.

·        Advanced proficiency with Python, SQL, and enterprise data engineering practices.

·        Experience architecting solutions using Databricks, Spark, PySpark, cloud analytics platforms, or modern data platform environments.

·        Experience integrating, transforming, validating, and governing data from multiple authoritative systems.

·        Experience with Git, GitHub, GitLab, Jira, or similar version control and delivery management tools.

·        Experience designing executive dashboards, analytical products, and decision-support materials in ADVANA/Qlik and other relevant tools.

·        Ability to lead small teams while remaining hands-on technically.

·        Strong stakeholder engagement, requirements gathering, and executive communication skills.

Preferred Knowledge, Skills, & Abilities. 

·        Experience supporting Department of War financial management, comptroller, resource management, or PPBE organizations.

·        Experience leading data modernization, data migration, or enterprise reporting transformation efforts.

·        Experience with workflow automation, Power Platform, UiPath, Celonis, or process intelligence tools.

·        Experience with GitLab, CI/CD, configuration management, peer review, and code governance practices.

·        Master's degree in business, data, analytics, information systems, finance, economics, engineering, or a related field.

Compensation: Compensation for this role will be determined based on experience and qualifications. The expected base salary range is between $160K and $230K. Generous benefits, bonus eligibility, and significant professional development support are all available.

Established in 2010, @Orchard has an exceptional reputation, providing staffing solutions to time-sensitive, talent-scarcity issues to deliver better talent management ROI.  Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.