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Analytics Engineer Jobs in Laurel, MD (NOW HIRING)

BRMi

Data Analytics Engineer - Pega CDH

Vienna, VA

$114K - $138K/yr

Overview BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building ...

New

BRMi

Data Analytics Engineer - Pega CDH

Vienna, VA · On-site

$114K - $138K/yr

Overview BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building ...

New

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Laurel, MD

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

What are popular job titles related to Analytics Engineer jobs in Laurel, MD?

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

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

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

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

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

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Laurel, MD as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Data Analytics Engineer - Federal Financial and Budget

@Orchard

Washington, DC • Remote

$140K - $185K/yr

Full-time

Posted 15 days ago

Job description

Senior Data Analytics Engineer

Federal Financial & Budget Data

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 Senior Analytics Engineer to support a Department of War client in the integration, engineering, governance, analysis, and visualization of enterprise financial and programmatic data. This role is ideal for a hands-on technical professional who can build and maintain data pipelines, transform complex financial datasets into actionable decision-support products, and support executive-level reporting for budget execution, resource management, and planning activities.

Your responsibilities as a Financial Reporting Consultant. 

·        Develop, maintain, and optimize enterprise data pipelines using Python, SQL, PySpark, Databricks, and related technologies.

·        Integrate, reconcile, and validate data from multiple authoritative financial, operational, and programmatic systems.

·        Design and maintain analytical datasets, data models, semantic layers, and data marts that support recurring and ad hoc reporting needs.

·        Support PPBE, budget execution, financial analysis, spending plan, obligation, and expenditure reporting activities.

·        Build and maintain executive dashboards, scorecards, and visualizations using ADVANA/Qlik.

·        Perform data profiling, cleansing, validation, and quality assessment to improve accuracy, completeness, and reliability.

·        Support data governance activities, including data dictionaries, lineage, metadata, business rules, and quality metrics.

·        Collaborate with client stakeholders to gather requirements and translate business needs into technical solutions.

·        Develop documentation, SOPs, user guides, testing artifacts, and technical materials that support sustainment and auditability.

·        Prepare analytical products and briefing materials that communicate findings and recommendations to technical and non-technical audiences.

Your background will include. 

·        Must be a U.S. Citizen

·        Must possess and maintain a(n) (Interim) Secret Clearance. Given lead time, Iberia will not sponsor new clearance investigations for this role.

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

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

·        Strong proficiency with Python and SQL.

·        Experience with Databricks, Spark, PySpark, or similar modern data platforms.

·        Experience integrating, transforming, and reconciling data from multiple enterprise systems. This must include experience with DAI at USMC or another DoW entity.

·        Experience developing dashboards or visualizations using ADVANA/Qlik.

·        Ability to translate business requirements into practical technical solutions.

·        Ability to communicate technical findings clearly to non-technical stakeholders.

Preferred Knowledge, Skills, & Abilities. 

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

·        Experience with data governance, metadata management, data lineage, and data quality controls.

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

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

·        Experience producing executive-level briefings, dashboards, and decision-support materials.

Compensation: Compensation for this role will be determined based on experience and qualifications. The expected base salary range is between $140K and $185K. 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.