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Manager Data Engineering Jobs in McLean, VA (NOW HIRING)

Accenture Federal Services

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

Must have: * 8 years of experience in data engineering, data pipeline design, and management * Must meet DoD 8140 requirements * Bachelor's degree (or 4 years of additional equivalent experience) in ...

Deloitte

Databricks Data Engineering Manager

Rosslyn, VA

$130K - $156K/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 ...

Ignite IT

Data Engineering Lead

Suitland, MD · On-site

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

Ignite IT

Data Engineering Lead

Suitland, MD · On-site

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

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in McLean, VA

Manager Data Engineering information

See McLean, VA salary details

$31.3K

$98.2K

$173.9K

How much do manager data engineering jobs pay per year?

As of Aug 26, 2026, the average yearly pay for manager data engineering in McLean, VA is $98,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $126,900.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

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.

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

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.

How does a manager 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 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 popular job titles related to Manager Data Engineering jobs in McLean, VA?

For Manager Data Engineering jobs in McLean, VA, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in McLean, VA look for?

The top searched job categories for Manager Data Engineering jobs in McLean, VA are:

What cities near McLean, VA are hiring for Manager Data Engineering jobs?

Cities near McLean, VA with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in McLean, VA as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $98,200 per year, or $47.2 per hour.

Sr Manager, Data Engineering - AMZ9675536

Amazon

Arlington, VA • On-site

$215K - $273K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,119 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Sr Manager, Data Engineering
Job Location: Arlington, Virginia
Job Number: AMZ9675536
Position Responsibilities:
Own a strategically important data architecture, major data product, and/or suite of data products with significant business impact. Responsible for establishing the right Data Engineering team structure and overall technology strategy to meet long-term business needs. Determine resources for large engineering initiatives and prioritize the resolution of endemic problems over current requests. Accountable for the execution and overall experience of engineering teams, the systems they create, the quality of the data they provide, and how they meet business goals. Partner with business leaders, technical managers, and Senior/Principal Engineers to determine the long-term viability of data architectures and product offerings, from business and technology standpoints. Consistently bring strong, data-driven business, and technical judgment to decisions. Understand the functionality, business drivers, and technologies behind the products and systems the team owns. Establish and support recurring business reviews, performance, and operational metrics. Lead successful senior engineers and managers through collaborative development planning, coaching, and strategic project assignment.
40 hours / week, 8:00am-5:00pm, Salary Range: $215,559/year to $273,700/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
BASIC QUALIFICATIONS
Position Requirements:
Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Product Design/Development, or a related field and three years of experience in the job offered or a related occupation. Employer will accept five years of experience in the job offered or a related occupation as equivalent to the Bachelor's degree and three years of experience. Must have one year of experience in the following skills: (1) leading a technical team in a customer-facing business development, business intelligence, product management, operations, or product support environment; (2) building self-service reporting solutions using business intelligence software; (3) experience with advanced SQL; (4) experiencing driving large-scale data engineering efforts that solve significantly complex or endemic problems for customers, business, or technology teams; and (5) experience decoupling system dependencies, prevent duplicate engineering efforts, and mitigate risks that lead to data quality issues that might cause deployment collisions and outages. Domestic and/or international travel up to 25% to perform role responsibilities may be required.#0000
PREFERRED QUALIFICATIONS
Please see job description and the position requirements above.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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