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Data Engineering Lead Jobs in Washington (NOW HIRING)

Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform. * Client Relationship Management: Build and ...

Databricks Data Engineering Manager

Rosslyn, VA · On-site

$130K - $156K/yr

Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform. * Client Relationship Management: Build and ...

Data Engineer - Senior

Herndon, VA · On-site +1

$110K - $170K/yr

BDR Solutions is seeking a seasoned Cloud Data Engineering Lead to support IRS data platform initiatives, focusing on secure, scalable architecture and tenant onboarding within a Databricks and AWS ...

Engineering Lead

Washington, DC

$116K - $152K/yr

The position serves as the primary lead coordinating engineering activities, operational priorities ... Experience designing and implementing data access layers and database schemas using JPA or similar ...

Data Engineer - Senior

Herndon, VA · Remote

$110K - $170K/yr

BDR Solutions is seeking a seasoned Cloud Data Engineering Lead to support IRS data platform initiatives, focusing on secure, scalable architecture and tenant onboarding within a Databricks and AWS ...

Engineering Lead

Washington, DC · On-site +1

$116K - $152K/yr

The position serves as the primary lead coordinating engineering activities, operational priorities ... Experience designing and implementing data access layers and database schemas using JPA or similar ...

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

BDR Solutions is seeking a seasoned Cloud Data Engineering Lead to support IRS data platform initiatives, focusing on secure, scalable architecture and tenant onboarding within a Databricks and AWS ...

Data Engineer - Senior

Hyattsville, MD · Remote

$110K - $170K/yr

BDR Solutions is seeking a seasoned Cloud Data Engineering Lead to support IRS data platform initiatives, focusing on secure, scalable architecture and tenant onboarding within a Databricks and AWS ...

Engineering Lead

Rockville, MD · On-site

$150K - $180K/yr

... data relevant to the position/candidate. Other compensation: opportunities for annual increase and bonus, and other types of bonuses . Sheladia provides employees with the opportunity to work in a ...

... data relevant to the position/candidate. Other compensation: opportunities for annual increase and bonus, and other types of bonuses . Sheladia provides employees with the opportunity to work in a ...

Engineering Lead

Rockville, MD · On-site

$150K - $180K/yr

... data relevant to the position/candidate. Other compensation: opportunities for annual increase and bonus, and other types of bonuses . Sheladia provides employees with the opportunity to work in a ...

Mechanical Engineering Lead

Sterling, VA · On-site

$109K - $132K/yr

Mechanical Engineering Lead Full-Time · On-Site · Sterling, VA (Northern Virginia) Competitive ... data center market in the world. Our facility includes a variety of robots, CNC milling machines ...

Showing results 41-60

Data Engineering Lead information

See Washington salary details

$34

$79

$108

How much do data engineering lead jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data engineering lead in Washington is $79.38, according to ZipRecruiter salary data. Most workers in this role earn between $68.61 and $89.04 per hour, depending on experience, location, and employer.

What is a data engineering lead?

Data Engineering Leads are senior professionals responsible for overseeing data engineering teams and projects. They design, build, and maintain data infrastructure, ensuring data is accessible, reliable, and secure for analytics and business use. Typically, they coordinate with data scientists, analysts, and other stakeholders to define data requirements and implement best practices in data management. Their role also involves mentoring team members, choosing appropriate technologies, and ensuring the scalability and performance of data systems.

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

AspectData Engineering LeadData Engineer
Required CredentialsBachelor's or Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, related certifications optional
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data pipelines, implements data solutions, collaborates with teams
Employer & Industry UsageUsed in organizations with data teams, analytics, and BI departmentsEntry to mid-level roles in data-focused companies

The Data Engineering Lead typically oversees data projects, manages teams, and coordinates with stakeholders, requiring leadership skills and experience. Data Engineers focus on building and maintaining data pipelines and infrastructure. While both roles require similar technical skills, the Lead role involves more strategic and managerial responsibilities.

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

To thrive as a Data Engineering Lead, you need strong expertise in data modeling, ETL pipeline development, and database architecture, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms such as AWS or Azure, as well as certifications in these systems, is highly valuable. Excellent leadership, problem-solving, and communication skills help in managing teams and collaborating with stakeholders. These competencies ensure efficient data infrastructure development, drive data-driven decision-making, and foster innovation within organizations.

What are some common challenges faced by a data engineering lead when managing large-scale data infrastructure projects?

A Data Engineering Lead often encounters challenges such as balancing short-term business needs with long-term architectural goals, ensuring data quality across multiple sources, and managing the complexity of integrating new technologies with existing systems. They also need to coordinate effectively with cross-functional teams, including Data Scientists, Analysts, and DevOps, to align on project priorities and timelines. Additionally, leading and mentoring a team of engineers requires strong communication and organizational skills to foster collaboration and continuous improvement.
What are popular job titles related to Data Engineering Lead jobs in Washington? For Data Engineering Lead jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Engineering Lead jobs in Washington look for? The top searched job categories for Data Engineering Lead jobs in Washington are:
Infographic showing various Data Engineering Lead job openings in Washington 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 $165,101 per year, or $79.4 per hour.

Databricks Data Engineering Manager

Deloitte

Rosslyn, VA

$130K - $156K/yr

Full-time

Re-posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients, capitalizing on the comprehensive capabilities of the Databricks Platform. In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence, and AI/ML. You'll collaborate with C-level executives to innovate and deliver measurable business value.

Key Responsibilities:

  • Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
  • Client Relationship Management: Build and maintain strong relationships with clients, acting as a trusted advisor on their holistic data and AI strategy, providing insights from practical, large-scale project experience.
  • Team and Practice Development: Lead, coach, and develop teams of data engineers, data scientists, and architects. Support business development and contribute to the growth of the practice.
  • Strategic Solution Design: Design complex, data-driven solutions and architectures that integrate data engineering, BI, and AI/ML capabilities to meet our clients' strategic technology goals.
  • Technical Oversight: Provide expert guidance on project delivery, define success criteria, and ensure the adoption of industry best practices for data governance (Unity Catalog), security, and MLOps.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance
  • 7+ years of real-world experience leading the delivery of complex, large-scale data and AI initiatives utilizing the breadth of the Databricks platform.
  • 5+ years of experience with the latest Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 2+ years of experience leading and managing cross-functional teams of technical professionals on challenging client engagements.
  • 2+ years of experience in data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks.
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred
  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Public sector experience preferred
  • Active public sector clearance preferred

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,500 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients, capitalizing on the comprehensive capabilities of the Databricks Platform. In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence, and AI/ML. You'll collaborate with C-level executives to innovate and deliver measurable business value.

Key Responsibilities:

  • Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
  • Client Relationship Management: Build and maintain strong relationships with clients, acting as a trusted advisor on their holistic data and AI strategy, providing insights from practical, large-scale project experience.
  • Team and Practice Development: Lead, coach, and develop teams of data engineers, data scientists, and architects. Support business development and contribute to the growth of the practice.
  • Strategic Solution Design: Design complex, data-driven solutions and architectures that integrate data engineering, BI, and AI/ML capabilities to meet our clients' strategic technology goals.
  • Technical Oversight: Provide expert guidance on project delivery, define success criteria, and ensure the adoption of industry best practices for data governance (Unity Catalog), security, and MLOps.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance
  • 7+ years of real-world experience leading the delivery of complex, large-scale data and AI initiatives utilizing the breadth of the Databricks platform.
  • 5+ years of experience with the latest Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 2+ years of experience leading and managing cross-functional teams of technical professionals on challenging client engagements.
  • 2+ years of experience in data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks.
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred
  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Public sector experience preferred
  • Active public sector clearance preferred

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,500 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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