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Manager Data Engineering Jobs in Washington (NOW HIRING)

Databricks Data Engineering Manager

Arlington, VA · On-site

$131K - $158K/yr

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 ...

Establish schema management, versioning, and data lineage practices. * Optimize data storage for ... Expert Python-Based Data Engineering * Develop advanced Python-based data transformation and ...

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

Data Engineer is a key role on a centralized data engineering team that supports a wide range of ... Engage with peer development teams, analysts, product managers, and business stakeholders ...

Establish schema management, versioning, and data lineage practices. * Optimize data storage for ... Expert Python-Based Data Engineering * Develop advanced Python-based data transformation and ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

... engineering, integration, and migration projects, contributing to innovative solutions in a ... B environments. • Strong experience with Import Sets, Transform Maps, APIs, and CMDB data ...

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Manager Data Engineering information

See Washington salary details

$35.1K

$110K

$194.8K

How much do manager data engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for manager data engineering in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
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 Manager Data Engineering jobs in Washington? For Manager Data Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Washington look for? The top searched job categories for Manager Data Engineering jobs in Washington are:
What cities in Washington are hiring for Manager Data Engineering jobs? Cities in Washington with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,026 per year, or $52.9 per hour.
Databricks Data Engineering Manager

Databricks Data Engineering Manager

Deloitte

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Re-posted 10 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 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.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 355034
Job ID 355034

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