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Senior Data Analytics Engineer Jobs in Reston, VA

Leidos

Data Engineer - Senior

Reston, VA · On-site

$110.30K - $149.80K/yr

... Senior Data Engineer ... Are you a Data Engineer that likes to work with big data to produce analysis and visualizations?

Capital One

Senior Data Analyst- Enterprise

Mclean, VA · On-site

$86.90K - $109.70K/yr

Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ... analytics, or currently has, or is in the process of obtaining a Master's Degree with an ...

ProSidian Consulting

Senior Data Analyst

Rockville, MD · On-site

$87.70K - $110.70K/yr

ProSidian Seeks a Senior Data Analyst (Contract Contingent) in Rockville, MD to support an ... Experience with supervising a team of staff (programming staff or other). The Analyst will also ...

Capital One

Senior Data Analyst- Enterprise

Mclean, VA · On-site

$86.90K - $109.70K/yr

Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ... analytics, or currently has, or is in the process of obtaining a Master's Degree with an ...

Judge Group, Inc.

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Ability to perform data analytics on program related or system related activities. This will ... As a Sr. Data Engineer I, you will support system delivery by performing integrated data analytics ...

Analytic Services Inc

Senior Data Analyst

Alexandria, VA · On-site

$92K - $116.10K/yr

Position Summary ANSER is seeking a Senior Data Analyst to support the Department of Defense (DoD ... analytics, workforce analytics, or data engineering * Experience supporting data analysis ...

ECS

Senior Data Engineer

Washington, DC · On-site

$119.60K - $162.50K/yr

ECS Federal is seeking a Senior Data Engineer to support mission-critical programs for the ... supporting data analytics tasks, and leading the design and maintenance of dashboards.

Comtech, LLC

Senior Data Analyst/Modeler

Washington, DC · On-site

$97.40K - $122.90K/yr

... support analytics and reporting projects. The Senior Data Analyst/Modeler is a highly trained ... S. Healthcare Industry B.S. in Mathematics, Engineering, or Computer Science Preferred ...

ManTech

Senior Data Engineer

Chantilly, VA

$108.50K - $147.40K/yr

... IT, Data Analytics and Software Development. Elevate your career and make a difference. Your ... The Senior Data Engineer will leverage their strong technical background and knowledge to support ...

ManTech International

Senior Data Engineer

Chantilly, VA · On-site

$108.50K - $147.40K/yr

... IT, Data Analytics and Software Development. Elevate your career and make a difference. Your ... The Senior Data Engineer will leverage their strong technical background and knowledge to support ...

Leidos

Data Scientist - Senior

Reston, VA · Hybrid

Are you a Senior Data Scientist that likes to performcutting edgedata analytics? Would you like to ... Experience working with a hybrid team of analyst, engineers, and developers to conduct research ...

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Senior Data Analytics Engineer information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

How much do senior data analytics engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior data analytics engineer in Reston, VA is $131,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $149,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Analytics Engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are popular job titles related to Senior Data Analytics Engineer jobs in Reston, VA? For Senior Data Analytics Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Reston, VA look for? The top searched job categories for Senior Data Analytics Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Senior Data Analytics Engineer jobs? Cities near Reston, VA with the most Senior Data Analytics Engineer job openings:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $131,426 per year, or $63.2 per hour.
Senior Data Scientist

Senior Data Scientist

Venture Global LNG

Arlington, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Venture Global LNG is a long-term, low-cost provider of American-produced liquefied natural gas. The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms while mentoring junior data scientists and contributing to strategic discussions.
Responsibilities:
• Develop solutions to business problems using the data science life cycle.
• Develop and maintain data analytics solutions and machine learning algorithms
• Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
• Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
• Mine and analyze data from a data lake or data warehouse to drive optimization.
• Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
• Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
• Provide ETL requirements to data engineers to effectively curate files for data analytics.
• Document data science algorithms for maintainability.
• Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
• Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
• Assist in testing, governance, data quality, training, and documentation efforts.
• Mentor junior data scientists and data analysts.
• Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.
Qualifications:
Required:
• 5+ Years of practical data science/data analytics experience.
• Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
• Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
• Fundamental skills in data processing languages such as SQL, Python, or Scala.
• Knowledge in building data science solutions using cloud data services.
• Ability to self-manage and make your own decisions.
• Strong presentation skills to effectively communicate results of analytics to stakeholders.
• Strong documentations skills.
• Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
• Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
• Excellent attention to detail and the ability to efficiently summarize and prioritize information.
Preferred:
• + Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
• + Experience using Databricks for machine learning algorithm development.
• + Experience in coding languages primarily PySpark, Python, and SQL.
• + Experience in agile development and sprint planning.
• + Experience utilizing DevOps.
• + Experience working with streaming datasets/IoT.
• + Strong technical writing skills.
Company:
Venture Global is a long-term, low-cost provider of U.S. LNG sourced from resource rich North American natural gas basins. Founded in 2013, the company is headquartered in Washington, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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