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Senior Data Engineering Jobs in Washington (NOW HIRING)

HRC Global Services

Senior Data Architect

Reston, VA · Remote

$68.75 - $92/hr

Senior Data Architect Location: United States (Hybrid/Remote as per project requirements ... Collaborate with engineering teams on CI/CD and Infrastructure as Code * Mentor junior and mid ...

Socket.dev

Senior Data Scientist

Triangle, VA · On-site

$140 - $190/hr

The role is a technical peer to the Lead Data Engineer and provides succession depth for senior data science work. This is a hybrid position located in Durham, NC, with the expectation of regular on ...

Elevance Health

Senior Data Engineer

Ashburn, VA · Hybrid

$108K - $147K/yr

Leads the architecture, engineering, and ongoing operation of the security data lake and associated data products supporting multiple security technologies and data sources. Establishes the technical ...

NS2 Mission

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 ...

VTG

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA

$125K - $165K/yr

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 ...

TriOptus LLC

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Job Title - Sr Data Engineer Location - (100% Remote) Duration: 12 Months + Extension Job Type: Contract Top 4 Spark Scala - Must 5 years with Spark Scala Python - Must AWS - Must (S3, Lambdas, EMR ...

Steampunk

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$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 ...

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Senior Data Engineering information

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 are the key skills and qualifications needed to thrive as a senior data engineer?

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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

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 Washington? The most popular types of Data Engineering jobs in Washington are:
What are popular job titles related to Senior Data Engineering jobs in Washington? For Senior Data Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in Washington look for? The top searched job categories for Senior Data Engineering jobs in Washington are:
What cities in Washington are hiring for Senior Data Engineering jobs? Cities in Washington with the most Senior Data Engineering job openings:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Data Engineer - FCP Tech

Federal Capital Partners

Chevy Chase, MD

$122K - $146K/yr

Full-time

Re-posted 23 days 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

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