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Senior Data Engineering Jobs in Reston, VA (NOW HIRING)

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

... engineering, systems integration, and user-centered design to help clients translate complex ... Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC

$97K - $122K/yr

... engineering, systems integration, and user-centered design to help clients translate complex ... Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ...

VivSoft Technologies LLC

Senior Data Architect

Herndon, VA · On-site

$69.25 - $92.50/hr

Senior Data Architect Location: Remote Clearance: Public Trust Type: Full-time, W2 About VivSoft ... Collaborate with executives, product owners, developers, and data engineering teams. * Review ...

Bigbear.ai

Data Engineer, Senior

Washington, DC

$114K - $171K/yr

Deep experience using various data engineering tools and technologies (SQL, NoSQL, HPC, etc.) and of the ETL process, especially as it pertains to US Government customer systems

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... and Engineering Technologies team and will be filling in for a data engineer must be able to ...

System One

Be Seen First

Senior Palantir Data Engineer & Architect - US Public Trust Required

Arlington, VA · Remote

$130K - $216K/yr

Senior Data Engineer & Architect (Palantir Foundry) Locations: Arlington, VA | McLean, VA | New ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. · ...

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TekSynap

Senior Data Engineer

Ashburn, VA · On-site

$150K - $200K/yr

The Systems and Data Engineering Services effort requires highly skilled systems support staff to ... ACTIVITIES & RESPONSIBILITIES The Senior Data Engineer will be responsible for developing and ...

TekSynap

Senior Data Engineer

Ashburn, VA

$150K - $200K/yr

The Systems and Data Engineering Services effort requires highly skilled systems support staff to ... ACTIVITIES & RESPONSIBILITIES The Senior Data Engineer will be responsible for developing and ...

Bigbear.ai

Sr. Data Scientist

Washington, DC

$140K - $211K/yr

Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

TekSynap

Senior Data Engineer

Ashburn, VA

$150K - $200K/yr

We are seeking a highly skilled Senior Data Engineer to lead and execute critical engineering tasks ... The Systems and Data Engineering Services effort requires highly skilled systems support staff to ...

The Swift Group, LLC

Senior Data Engineer

Reston, VA · On-site

$110K - $150K/yr

They are looking for a Senior Data Engineer to join their dynamic data ... engineering team in Tysons Corner, VA, where the role involves designing, building, and ...

Techno Talent Inc.

Sr Data Analyst/ Engineer

Mclean, VA · On-site

$88K - $111K/yr

Job Title: Sr Data Analyst Location : McLean VA Experience : 10 Employment Type : C2C Key ... Collaborate with data engineering teams to optimize data pipelines and data models. Required Skills ...

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Senior Data Engineering information

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How much do senior data engineering jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for senior data engineering in Reston, VA is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $70.00 per hour, depending on experience, location, and employer.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or within large organizations. Salary levels depend on factors such as location, industry, certifications, and the complexity of projects handled.

What is a Senior Data Engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

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

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

What engineer makes $500,000 a year?

Senior Data Engineers in high-demand industries or with extensive experience, specialized skills in cloud platforms, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in major tech companies or financial institutions. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in data pipelines, distributed systems, and big data tools.

What engineers make $300,000 a year?

Senior Data Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation varies by industry, location, and company size, with some roles in finance or technology offering higher salaries for senior-level professionals.

How does a Senior Data Engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in Reston, VA? The most popular types of Data Engineering jobs in Reston, VA are:
What are popular job titles related to Senior Data Engineering jobs in Reston, VA? For Senior Data Engineering jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in Reston, VA look for? The top searched job categories for Senior Data Engineering jobs in Reston, VA are:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Reston, VA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $122,939 per year, or $59.1 per hour.
Senior Data Analyst

Senior Data Analyst

K.L. Scott & Associates

Washington, DC • On-site

$97K - $122K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 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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