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Lead Data Analytics Engineer Jobs in Washington (NOW HIRING)

VIA

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You ... People who lead discussions with curiosity and value diverse perspectives * Eager to explore new ...

VIA

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You ... People who lead discussions with curiosity and value diverse perspectives * Eager to explore new ...

MassMutual Ventures

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You ... People who lead discussions with curiosity and value diverse perspectives * Eager to explore new ...

New

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics ...

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All JobsLead Data Analytics Engineer JobsLead Data Analytics Engineer Jobs in Washington

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 Washington are hiring for Lead Data Analytics Engineer jobs?

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

Infographic showing various Lead Data Analytics Engineer job openings in Washington 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 Engineer

Washington, DC • On-site

VIA
See more jobs at VIAexternal

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

VIA is making an impact, and so can you.

Headquartered in Boston, Massachusetts, VIA is a mission-critical software company that enables organizations to share and analyze sensitive data at speed without compromising security or control. VIA's decentralized architecture keeps data sovereign, while its agentic AI helps organizations solve critical challenges, and its military-grade security governs access. Designed for simplicity, rapid deployment, and disconnected environments, VIA makes sensitive data usable wherever the mission happens, even offline. The Department of War, Fortune 50 companies, and critical infrastructure companies around the globe trust VIA to help them solve their toughest analytics and digital security challenges. Learn more: solvewithvia.com.

An impressive mission requires an equally impressive Data Analytics Engineer.

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA's data products and guide our customers' decisions. Operating on a high-velocity Agile team, you'll work cross-functionally with software engineers, data peers, and client delivery professionals to lead data initiatives end to end, in an environment where precision, security, and clarity are non-negotiable.

In this role, you will:

Understand the data and the domain

  • Partner with VIA's client delivery team and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues
  • Explore customer data to build a clear picture of contents and characteristics (e.g. averages, expected ranges, trends, standard deviations) and make suggestions for data cleaning and analysis

Build AI-powered data products

  • Deliver data-based products to external customers, including interactive data analysis and investigation platforms, data quality reports, statistical analysis, and visualizations that turn complex findings into clear stories
  • Build AI into VIA's data products, for example through automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces over operational data
  • Evaluate the quality and reliability of AI/ML outputs against domain expectations, and design the human-in-the-loop checks that keep our data products trustworthy

Oversee data pipelines

  • Own the design, quality, and reliability of ETL/ELT pipelines, including work built with AI assistance
  • Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
  • Run quality control on data and data products through both automated tests and targeted manual review, and document the assumptions and decisions made along the way so the work stays traceable

Improve the platform

  • Contribute to the continual improvement of internal tools for data cleaning, modeling and analytics, and data quality assessment by identifying key data-related challenges that are ideal candidates for automation and AI enhancement
Requirements

What you will bring to this role:

  • 3+ years of experience in a data-driven role or equivalent in data-related research projects
  • Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field
  • Competence in Python, R, or equivalent programming language
  • Competence in at least two of the following technologies:
    • Database technologies (e.g., SQL, PostgreSQL)
    • Data science libraries (e.g., NumPy, pandas)
    • Data pipelining workflows and tools (e.g., Dagster, Airflow, dbt)
    • Cloud providers (e.g. AWS, Azure), including software development kits used to access data and services on these platforms
  • Ability to translate complex data findings into clear, compelling narratives
  • Strong communication capability to decompose complex operational workflows into clear, repeatable steps that both teammates and AI tools can act on
  • Passionate about data integrity, with a proven track record of transforming raw inputs into high quality, trusted datasets
  • A self-starter attitude and demonstrated ability to learn new technologies quickly
  • Experience in the following is a plus:
  • Generative AI tools (e.g. AWS Bedrock, LangChain)
  • Testing frameworks (e.g. pytest)

What does it take to be a successful VIAneer? Let's break it down, our VIAneers are:

  • Self-motivated and passionate about leaving everything they touch better than how they found it
  • Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
  • Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
  • People who lead discussions with curiosity and value diverse perspectives
  • Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
  • Strong team players who thrive in collaborative environments and celebrate the success of others
Benefits

What can VIA do for you?

VIA offers competitive benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers' favorite perks:

  • Compensation: 
    • This role offers a salary range of $100,000 - $130,000 USD per year
    • 401K plan with up to 5% employer contribution
  • Health: A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
  • Family Support: Up to 24 weeks paid parental leave, a 4-week paid ramp-back program, and a $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
  • Time off: Flexible Vacation Policy with no set annual limit or accrual period, Summer Fridays, and an extended holiday period in December
  • Remote work: Ability to enjoy the best of both worlds with flexibility to work from home as needed, as well as access to three well-located offices, designed for collaboration and stocked with everything you could need
    • Opportunities to work remotely from eligible locations for up to 2 months per year
  • Growth: Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs, including VIA's unrivaled leadership program
    • A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA
  • Transit: Benefits to support commuting costs
  • Connection: In-person events to foster team bonding and collaboration across different teams

Read more about our benefits and perks here.

Our commitment to Diversity and Inclusion:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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