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Lead Data Analytics Engineer Jobs in Virginia (NOW HIRING)

Genworth Financial

Lead Data Engineer

Richmond, VA · Hybrid

$101K - $133K/yr

POSITION TITLE Lead Data Engineer This role is not eligible for employment visa sponsorship ... May perform hands on designing, building, testing, and supporting analytical pipelines.

Genworth Financial, Inc.

Lead Data Engineer

Richmond, VA · On-site

$101K - $133K/yr

POSITION TITLE Lead Data Engineer This role is not eligible for employment visa sponsorship ... May perform hands on designing, building, testing, and supporting analytical pipelines.

Ignite Digital

Senior Data Analyst

Chesapeake, VA · On-site

$100K/yr

... lead advanced analytics efforts supporting a US Navy data analytics, cloud management, and IT ... engineering, or related disciplines. * Expert-level proficiency in R or Python, SQL, and multiple ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

SMX

Data Analytics Analyst (5615)

Arlington, VA · On-site

We are looking for a skilled Data Analytics Engineer to join our team. You will build and support enterprise reporting tools using Oracle Analytics and Budget formulation software. Your work will ...

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Lead Data Analytics Engineer information

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

What are the key skills and qualifications needed to thrive as a Lead Data Analytics Engineer?

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

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

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

What cities in Virginia are hiring for Lead Data Analytics Engineer jobs?

Cities in Virginia with the most Lead Data Analytics Engineer job openings:

Infographic showing various Lead Data Analytics Engineer job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 71% In-person, 2% Hybrid, and 27% Remote job distribution.

Data Analytics Developer

Northern Virginia, VA • On-site

ApplyLogic Consulting Group, LLC
IT Services • 11 - 50 employees
Learn more about ApplyLogic Consulting Group, LLCexternal

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description


ApplyLogic is a fast-paced Service-Disabled Veteran-Owned Small-Business, headquartered in Vienna, VA. Our people are our greatest asset, and our company culture is grounded on that belief. We offer challenging and interesting work in a friendly and supportive environment. Through prime and subcontracts, we deliver best-in-class expertise to solve complex technical problems. 
 

We're looking for a talented Data Analytics Developer to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area). This individual will help transform data from multiple sources into useful reports, dashboards, and insights. You will use SQL, Power BI, Excel, and other analytical tools to support reporting and decision-making.

Work Location:

  • Onsite – Northern Virginia (Alexandria/Falls Church area)

Clearance:
Must be a U.S. Citizen with the ability to obtain and maintain Government security clearance.

Primary Roles and Responsibilities:

  • Develop and maintain reports, dashboards, and data visualizations using Power BI or similar business intelligence tools.
  • Write and execute SQL queries to retrieve, analyze, and validate data from relational databases and other sources.
  • Perform recurring and ad hoc data analysis to identify trends, patterns, anomalies, and areas requiring attention.
  • Prepare data for reporting and analysis by reviewing, cleaning, and validating data from multiple sources.
  • Support the development and maintenance of Power BI datasets, reports, dashboards, and visualizations.
  • Assist with gathering and documenting reporting and analytical requirements from business and technical stakeholders.
  • Perform data validation and quality checks to ensure reports and dashboards accurately reflect underlying data.
  • Assist with developing recurring operational, management, and analytical reports.
  • Troubleshoot reporting and data issues and coordinate with technical teams when additional support is required.
  • Document report definitions, data sources, business rules, and reporting procedures.
  • Support efforts to improve reporting processes, data accuracy, and reporting efficiency.
  • Collaborate with data engineers, database administrators, developers, and business stakeholders.

Required Education, Experience, & Skills:

  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field, or equivalent combination of education and relevant experience.
  • 2+ years of professional experience in data analysis, business intelligence, reporting, or a related discipline.
  • Experience using SQL to query and analyze data.
  • Experience developing reports, dashboards, or data visualizations using Power BI or a similar BI platform.
  • Experience working with data from relational databases or multiple data sources.
  • Understanding of data analysis, data validation, and data quality concepts.
  • Strong analytical and problem-solving skills.
  • Ability to translate data into clear and understandable reports and visualizations.
  • Strong attention to detail and ability to identify inconsistencies or anomalies in data.
  • Strong written and verbal communication skills.
  • Ability to work independently while collaborating effectively with technical and business stakeholders.
Preferred Qualifications
  • Advanced Power BI experience, including DAX and Power Query.
  • Experience with SQL Server, Oracle, PostgreSQL, or similar databases.
  • Advanced Microsoft Excel skills, including PivotTables, Power Query, and complex formulas.
  • Experience with Tableau, Qlik, or other BI platforms.
  • Experience developing executive, operational, or management dashboards.
  • Experience with data modeling and analytical datasets.
  • Experience with Python, R, or other analytical programming languages.
  • Experience with data warehousing.
  • Experience with data quality or data governance practices.
  • Experience supporting complex enterprise environments.
  • Experience supporting U.S. government or federal contracting programs.
  • Active or previously held U.S. government security clearance.

The Perks of Being on Our Team
ApplyLogic offers competitive salaries with a robust Fortune-500 type benefits package. Some of the benefits you will receive when you join us are: 
  • Employee Assistance Program
  • 401K
  • Medical/Dental/Vision Insurance
  • Life/Short-Term Disability/Critical Illness/Accident Insurance
  • 15 PTO Days 
  • 11 Federal Holidays
  • Up to $5K towards continuing education and/or professional development 

Salary Range
$75,000-$95,000
The posted salary range represents the anticipated compensation for this position. Final compensation will be based on the selected candidate's qualifications, years of directly relevant experience, education, certifications, security clearance, contract requirements, and other business considerations.