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Senior Data Analytics Engineer Jobs in Washington, DC

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ... analytics, data science, business intelligence, reporting, data engineering, or a related ...

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 ...

Venturegloballng

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

Senior Data Scientist Located: Arlington Summary The Senior Data Scientist is responsible for ... Provide ETL requirements to data engineers to effectively curate files for data analytics.

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Integrate analytical models and rules into operational production systems. * Ensure reliability and continuity of production analytics workflows during operational cycles. * Support testing ...

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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

$143.1K

$198.2K

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

As of Sep 3, 2026, the average yearly pay for senior data analytics engineer in Washington, DC is $143,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $163,100.00 per year, depending on experience, location, and employer.

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.

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 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 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 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.

Senior Data Analyst

K.L. Scott & Associates

Washington, DC • On-site

$97K - $122K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Company Overview
K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions.
Position Overview
We are seeking a Senior Data Analyst with at least 7+ years of experience in data analytics to support a federal client in designing, developing, and delivering data-driven decision-support products. This role will focus on extracting data from multiple source systems, building trusted datasets, developing SQL queries and ETL logic, and producing complex analysis, dashboards, and visualizations for client leadership.
Senior Data Analyst
The Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts, data analysts, and dashboard developers. The ideal candidate is a strong communicator, an experienced hands-on analyst, and a collaborative team lead who can mentor junior analysts and lead small project teams.
The ideal candidate will reside in or within commutable distance to Washington DC.
Key Responsibilities:
  • Lead complex data analysis efforts to identify trends, patterns, risks, performance drivers, and actionable insights that support federal client leadership decisions.
  • Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis.
  • Develop, optimize, and maintain SQL queries, views, scripts, and data logic used to support dashboards, ad hoc reports, and recurring decision-support products.
  • Utilize Python scripting for ETL processes, including data extraction, cleansing, transformation, validation, and preparation for downstream analysis and visualization.
  • Design and build curated datasets, data models, and data structures that support accurate, repeatable, and scalable reporting.
  • Develop dashboards, data visuals, and business intelligence products using Power BI, and other BI tools.
  • Integrate Python into Power BI for highly customizable and complex statistical visualizations
  • Build ad hoc reports and analytical products in response to client leadership, operational, and program management needs.
  • Partner with federal client stakeholders, public safety subject matter experts, business analysts, and internal data teams to define metrics, KPIs, reporting requirements, and data definitions.
  • Translate complex data findings into clear narratives, visuals, and recommendations for technical and non-technical audiences.
  • Perform data quality checks, data profiling, reconciliation, and validation to ensure accuracy and reliability of reporting outputs.
  • Lead small project teams, coordinate analytical workstreams, assign tasks, monitor progress, and communicate risks, issues, and status to project leadership.
  • Mentor junior data analysts by reviewing work products, sharing analytical best practices, supporting skill development, and promoting consistent documentation standards.
  • Support user acceptance testing, dashboard validation, defect resolution, and stakeholder feedback cycles.
  • Create and maintain documentation, including data dictionaries, business rules, analytical assumptions, data lineage notes, and dashboard user guidance.
  • Identify opportunities to improve data processes, dashboard usability, automation, reporting consistency, and analytical efficiency.

Required Qualifications:
  • Minimum of 7+ years of experience in data analytics, data science, business intelligence, reporting, data engineering, or a related analytical role.
  • Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Computer Science, Statistics, Mathematics, Finance, or an equivalent field.
  • At least three years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
  • At least three years of writing complex DAX and M-language formulas involving financial data
  • At least five years of experience in finance or accounting
  • Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)
  • Experience automating workflows
  • Hands-on experience extracting data from multiple source systems and developing datasets for dashboarding, reporting, and analysis.
  • Strong experience writing and optimizing SQL queries for data extraction, analysis, transformation, and reporting.
  • Experience coding or supporting ETL processes, including data cleansing, transformation, validation, and integration.
  • Experience developing dashboards and visualizations in Tableau and Power BI.
  • Experience with business intelligence tools, data visualization concepts, dashboard design, and reporting best practices.
  • Ability to conduct complex data analysis and communicate findings clearly to client leadership and technical teams.
  • Experience building ad hoc reports and recurring analytical deliverables for decision support.
  • Experience leading small teams or analytical workstreams.
  • Strong written and verbal communication skills, including the ability to explain data concepts to non-technical stakeholders.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, client-facing environment.
  • Must be in-person in Washington, D.C. 5 days a week.
  • Must have or be able to obtain full scope background investigation and clearance.

Preferred Qualifications:
  • Experience supporting federal clients, particularly federal public safety, law enforcement, emergency management, homeland security, or related mission environments.
  • Expert in Python, SQL, and Power BI DAX
  • Expert in financial modeling and forecasting
  • Expert in ETL/ELT processes
  • Expert in BASH commands and PowerShell
  • Experience working in government consulting, federal data modernization, or mission analytics environments.
  • Experience with additional BI, reporting, or analytics tools beyond Tableau and Power BI.
  • Experience with dashboard performance optimization, data governance, data quality frameworks, or data management best practices.
  • Familiarity with Agile, hybrid, or iterative delivery methods.
  • Experience developing executive-level dashboards, operational performance dashboards, or public safety decision-support products.

Desired Skills & Competencies:
  • Advanced analytical thinking and ability to connect data findings to mission and business decisions.
  • Expert in Python, SQL, DAX, ETL/ELT, dataset development, dashboarding, and data visualization skills.
  • Ability to lead small teams while remaining hands-on with data analysis and BI development.
  • Strong stakeholder engagement and presentation skills.
  • Ability to mentor analysts and promote consistent analytical standards.
  • High attention to detail and commitment to data quality, documentation, and repeatable analytical methods.
  • Collaborative mindset and ability to work effectively with federal clients, public safety stakeholders, business analysts, data analysts, and technical teams.

Benefits:
  • Competitive salary
  • Health, dental, and vision insurance
  • 401K
  • "Discretionary" PTO
  • Professional development opportunities
  • A dynamic and collaborative work environment

Working Environment:
This role will support a federal client and requires regular collaboration with client stakeholders, public safety subject matter experts, business analysts, data analysts, dashboard developers, and project leadership. The Senior Data Analyst will play a key role in turning complex data into trusted dashboards, data visuals, reports, and insights that support client leadership decision-making.
If you are a results-driven professional and have the above qualifications, we encourage you to apply for this position. Join our team and contribute to our continued growth and success. To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role.
K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply. We thank all applicants for their interest, but only those selected for an interview will be contacted.

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