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

Data Engineer, Senior

Washington, DC · On-site

$120K - $163K/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 What we'd like you to ...

Data Engineer, Senior

Washington, DC · On-site

$116K - $157K/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 What we'd like you to ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

This role is ideal for a seasoned data engineering professional who not only brings deep technical ... A senior-level Data Engineer who can lead by example while remaining hands-on technically * Someone ...

As a Senior Data Scientist on this program, you'll own the data architecture and pipeline ... You'll bring deep database and cloud architecture experience, strong programming skills, and the ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

This role is ideal for a seasoned data engineering professional who not only brings deep technical ... A senior-level Data Engineer who can lead by example while remaining hands-on technically * Someone ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... If you have a passion for data engineering and are ready to take on a challenge that marries ...

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop ... Strong proficiency in SQL and Python for data engineering, including experience working with ...

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

We are looking for more than just a "Senior Data Engineer", but a technologist with excellent ... Strong proficiency in SQL and Python for data engineering, including experience working with ...

We are looking for more than just a "Senior Data Engineer", but a technologist with excellent ... Strong proficiency in SQL and Python for data engineering, including experience working with ...

As a Senior Data Scientist on this program, you'll own the data architecture and pipeline ... You'll bring deep database and cloud architecture experience, strong programming skills, and the ...

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Senior Data Engineering information

See Reston, VA salary details

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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 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:
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.
Sr. Data Engineer - FCP Tech

Sr. Data Engineer - FCP Tech

Federal Capital Partners

Chevy Chase, MD • On-site

$95K - $105K/yr

Full-time

Posted 11 hours ago


Job description

Real estate private equity is an exciting industry with the power to shape communities and change the built environment. FCP's technology team is at the forefront of this transformation, leveraging AI, automation, and modern data platforms to drive smarter investment decisions and operational excellence. This role offers a unique opportunity to work directly with firm leadership, industry experts, and cutting-edge tools to make a measurable impact on the business.
FCP is a leading real estate investment company that has invested in or financed more than $12.5 billion in assets since its founding in 1999. We are seeking an experienced Sr. Data Engineer to join our Washington, DC team. This is a rare opportunity to help build and scale a modern data and AI platform at a high-performing real estate private equity firm.
YOUR IMPACT:
As a Sr. Data Engineer, you will support our business lines, clients and investment decisions by:
  • Design and develop AI-assisted data pipelines, semantic models, and Power BI reports to support investment decisions and operations
  • Build, automate, and maintain data ingestion pipelines using Microsoft Fabric Data Factory and Python
  • Develop automated financial data analysis workflows and reporting solutions that leverage AI and machine learning capabilities
  • Integrate and govern disparate financial and operational data sources within FCP's Microsoft Fabric lakehouse environment
  • Lead data quality, reconciliation, and lineage initiatives across investment, financial, and asset management datasets

YOUR QUALIFICATIONS:
  • Bachelor's degree or advanced degree in Engineering or Computer Science with excellent academic credentials
  • Minimum of 4 years of relevant work experience
  • Minimum of 2 years of experience building and deploying data engineering solutions on cloud platforms (Azure preferred)
  • Minimum of 2 years of relevant data analytics work experience
  • Minimum of 2 years of experience with python and associated data libraries
  • Minimum of 2 years of experience with databases & queries
  • Ability to analyze qualitative and quantitative information and translate into strategic deliverables
  • Ability to work independently and within a team
  • Experience working in Microsoft Azure and/or Microsoft Fabric; familiarity with AI services such as Azure OpenAI strongly preferred
  • Excellent written and oral communication skills
  • Experience in presenting ideas and analysis to groups and leadership
  • Motivated self-starter with effective time management skills and strong attention to detail
  • A desire to work within a fast-paced, collaborative, and entrepreneurial environment
  • Experience or previous interest in Real Estate strongly preferred
  • Required Technical Skills:
    • Excel (Complex Formulas, PivotTables, Formatting)
    • Microsoft Fabric (Lakehouse, Data Factory, Notebooks)
    • Python
    • SQL
    • Power BI & DAX
  • Preferred Technical Skills:
    • Azure OpenAI & AI Services
    • Databricks
    • JavaScript/HTML/CSS
    • LangChain or other AI/LLM orchestration frameworks
    • Financial Modeling