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Senior Data Analytics Engineer Jobs in Washington, DC

TriOptus LLC

Senior Data Analytics Developer

Mclean, VA · On-site

Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models * Gain a good understanding of the relevant processes and ...

ICI Services

Senior Data Scientist

Washington, DC · On-site

... Senior Data Scientist to Join our Team in Washington, DC . At ICI Services, our employee-owners ... Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ...

ICI Services Corporation

Senior Data Scientist

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

Turn2Partners

Senior Data Analyst

Washington, DC · On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A growing ... S. Citizenship (required) • 3-7 years of experience in data analytics, implementation, or ...

CGI Inc.

Data Analytics Developer, Senior

Arlington, VA · On-site

  • Retirement

  • PTO

Data Analytics Developer, Senior Category: Project Management Main location: United States, Virginia, Arlington Position ID:J0925-0670 Employment Type: Full Time Position Description: CGI Federal has ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Washington, DC

Senior Data Analytics Engineer information

See Washington, DC salary details

$91.7K

$143K

$198.1K

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

As of Aug 13, 2026, the average yearly pay for senior data analytics engineer in Washington, DC is $143,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $163,000.00 per year, depending on experience, location, and employer.

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.

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 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.

What are the most commonly searched types of Data Analytics Engineer jobs in Washington, DC?

The most popular types of Data Analytics Engineer jobs in Washington, DC are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Washington, DC?

For Senior Data Analytics Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Washington, DC look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Washington, DC are:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,079 per year, or $68.8 per hour.

Data Analytics Engineer

Ryde Technologies, LLC

Crystal City, VA • On-site

$130K - $157K/yr

Full-time

Posted 9 days ago

Job description

Job Overview

We are seeking a Data Analytics Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will contribute to the design, develop, and deploy scalable reporting and analytics solutions for government clients. In this role, you will gather requirements, architect data pipelines, and build high-performance dashboards that enable critical decision-making in secure, fast-paced environments. Your technical expertise and communication skills will directly impact mission outcomes.

**This position is one day per week onsite, four days remote

Core Responsibilities

  • Gather requirements and partner with stakeholders to understand complex data needs and emerging business objectives
  • Design, develop, and deploy scalable, high-performance reporting systems and analytics
  • tools
  • Create and optimize SQL queries, dashboards, and data visualization tools in response to client requirements
  • Identify, research, and integrate disparate data sources while maintaining data integrity and security
  • Communicate effectively with clients and cross-functional teams; respond to requirements in tight timeframes

Requirements

  • Must Be Able to Obtain Public Trust Level 6C
  • Ability to work on-site in Crystal City, Virginia, 1 day per week
  • 5+ years of experience
  • Experience with Report and Dashboard Development
  • Experience with Relational Databases (Oracle, PostgreSQL)
  • Experience with the following technologies:
    • AWS services (S3, RDS, EC2, Lambda, Step Functions, EventBridge, OpenSearch/Elasticsearch
    • JSON and JSON format mediation techniques
    • Business intelligence and visualization tools (PowerBI, Tableau)
    • DevSecOps tools and techniques (Jenkins, Git)
    • Data management and aggregation patterns (data warehouse, data mart, data lake, delta lake, lakehouse, data mesh)

Preferred Additional Skills and Qualifications

  • Bachelor’s Degree in Computer Science or related field.

 

EEO Compliance:

Ryde is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Ryde will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

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