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Remote Lead Data Engineer Jobs in Washington, DC

Lead Data Engineer

Columbia, MD · On-site +1

$125K - $160K/yr

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

You'll lead a team that owns the AI self-service portal and the related set of microservices. You'll work with a cross-functional team of engineers to contribute to our data platform. The role also ...

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245506 Location: Chantilly,VA,US Share job via: Share Data Engineer ... lead data engineering activities on some of the most mission-driven projects in the industry. You ...

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Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Client's National Customer Service ...

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with team lead functions, creating solutions within a collaborative and cross-functional ...

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer ... In this role, you will lead a team of data engineers to design modern, cloud-native solutions ...

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that ... You may serve as the primary data engineering lead for initiatives and utilize strong leadership ...

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job ... Lead and support data migration initiatives, including schema mapping and transformation logic.

Data Engineer

Herndon, VA · Remote

$117K - $141K/yr

Qualifications:3+ years of hands-on experience as a data engineer, cloud engineer, or software ... Familiarity deploying deep learning (TensorFlow, Keras) frameworksExperience working with remote ...

Data Engineer

Herndon, VA · Remote

$117K - $141K/yr

Qualifications:3+ years of hands-on experience as a data engineer, cloud engineer, or software ... Familiarity deploying deep learning (TensorFlow, Keras) frameworksExperience working with remote ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

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Remote Lead Data Engineer information

See Washington, DC salary details

$48.1K

$140.2K

$204.4K

How much do remote lead data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote lead data engineer in Washington, DC is $140,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $152,900.00 per year, depending on experience, location, and employer.

What is a remote lead data engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.

What are the key skills and qualifications needed to thrive as a remote lead data engineer?

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a remote lead data engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

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

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

What are popular job titles related to Remote Lead Data Engineer jobs in Washington, DC?

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

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

The top searched job categories for Remote Lead Data Engineer jobs in Washington, DC are:

Infographic showing various Remote Lead Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $140,198 per year, or $67.4 per hour.

Lead Data Engineer

Blend360

Columbia, MD • On-site, Remote

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Company Description
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
Job Description
We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization.
The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.
What You'll Do
  • Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases
  • Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows
  • Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources
  • Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption
  • Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns
  • Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions
  • Optimize BigQuery performance, partitioning, and cost management strategies
  • Implement engineering best practices for testing, observability, reliability, and deployment automation
  • Support data governance, data quality, and metadata management initiatives across the platform
  • Mentor junior engineers and provide technical leadership across delivery teams

Qualifications
Required Skills
  • Strong expertise in Google Cloud Platform (GCP), particularly:
    • BigQuery
    • Cloud Storage
    • Cloud Composer / orchestration tooling
    • Dataflow or modern ingestion frameworks
  • Experience designing and building scalable data ingestion and pipeline automation frameworks
  • Strong understanding of semantic layer development and dimensional modeling concepts
  • Advanced SQL and Python development skills
  • Experience with ETL/ELT pipeline design and orchestration
  • Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices
  • Strong understanding of data quality, observability, and operational reliability principles
  • Experieng with AI driven workflows, and orchestration design patterns.

Preferred Experience
  • Experience working with healthcare data ecosystems and regulated enterprise environments
  • Familiarity with healthcare data standards or payer/provider analytics platforms
  • Experience supporting enterprise BI and analytics initiatives
  • Exposure to dbt, Looker, or semantic modeling frameworks is a plus

Required Experience
  • 7+ years of experience in data engineering or cloud data platform development
  • Proven experience delivering enterprise-scale cloud data solutions in GCP environments
  • Experience leading technical workstreams or mentoring engineering teams
  • Consulting or client-facing experience strongly preferred

What Makes You Successful
  • You are passionate about building scalable and maintainable cloud-native data solutions
  • You balance hands-on engineering execution with technical leadership and collaboration
  • You communicate effectively with both technical and business stakeholders
  • You thrive in fast-paced, delivery-focused environments
  • You bring strong ownership, curiosity, and continuous improvement mindset to your work

Additional Information
The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.