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Analytics Engineer Jobs in Lorton, VA (NOW HIRING)

Geico

Staff Analytics Engineer - Product

Bethesda, MD · On-site

$115K - $230K/yr

GEICO is looking for a Staff Analytics Engineer, Product that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data ...

Doist

Manager, BI + Analytics Engineer

Washington, DC · On-site

$150 - $200/hr

The Role As Peregrine's Manager, BI + Analytics Engineer, you'll play a foundational role in shaping how data is modeled, accessed, and used across the company. You will own the architecture and ...

Deloitte

Senior QuickSight Analytics Engineer

Washington, DC · On-site

$118K - $162K/yr

Ability to provide clear guidance to others The team Our Data Engineering team helps build and modernize data platforms that support analytics, reporting, and business decision-making across complex ...

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Analytics Engineer information

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.

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 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.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

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 business insights.

What are popular job titles related to Analytics Engineer jobs in Lorton, VA?

For Analytics Engineer jobs in Lorton, VA, the most frequently searched job titles are:

What cities near Lorton, VA are hiring for Analytics Engineer jobs?

Cities near Lorton, VA with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Lorton, VA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Data Analytics Engineer

Blue Sky Innovative Solutions

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Blue Sky Innovative Solutions is hiring a Data Analytics Engineer to transform complex data into actionable insights that support critical decision-making. This position involves building data pipelines, cleansing and transforming large datasets, and implementing advanced analytics and reporting tools.
Responsibilities:
• Build, test, and deploy data pipelines and analytic models in support of operations.
• Perform data wrangling, cleansing, and transformation for reporting and dashboards.
• Implement advanced analytics, including trend analysis, anomaly detection, and predictive modeling.
• Support the integration of multiple government and contractor data systems.
• Work closely with the Data Architect to ensure scalable, secure, and efficient data solutions.
Qualifications:
Required:
• Bachelor's in Computer Science, Statistics, Data Science, or related field.
• 7+ years of experience in data engineering or analytics with large datasets.
• Strong expertise in SQL, Python, R, and data visualization tools (e.g., Tableau, Power BI).
• TS/SCI clearance required.
Preferred:
• Experience with DoD or intelligence community systems strongly preferred.
Company:
Blue Sky Innovative Solutions (Blue Sky) understands the business and information technology challenges and opportunities that face government and private sector clients and we have the demonstrated capabilities to address them. Founded in 2014, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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