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

Data Engineer (BigQuery)

Washington, DC ยท On-site

$129K - $155K/yr

... as an engineering discipline, and you can work comfortably within the access controls and ... Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL ...

Data Engineer (BigQuery)

Bethesda, MD ยท On-site

$122K - $147K/yr

... as an engineering discipline, and you can work comfortably within the access controls and ... Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL ...

Data Engineer (BigQuery)

Reston, VA ยท On-site

$110 - $160/hr

... as an engineering discipline, and you can work comfortably within the access controls and ... Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL ...

Data Engineer

Washington, DC ยท On-site

$80K - $120K/yr

Support metadata management and data governance initiatives. * Collaborate with analysts, data scientists, and stakeholders. Required Skills and Experience * Bachelor's degree in Data Engineering ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Data Engineer

Arlington, VA ยท On-site

$95 - $157/hr

You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your ...

Data Engineer

Mclean, VA

$115K - $139K/yr

Familiarity with data governance, metadata management, and data security best practices. * Experience with source control and CI/CD pipelines for data engineering and Databricks workflows. * Working ...

Data Engineer

Fairfax, VA ยท On-site

$130 - $155/hr

Support data profiling, lineage tracking, and metadata management to improve transparency and trust ... Bachelor's degree * 5+ years of experience in data engineering, ETL/ELT development, or database ...

Showing results 41-60

Manager Data Engineering information

See Chantilly, VA salary details

$31.7K

$99.5K

$176.1K

How much do manager data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager data engineering in Chantilly, VA is $99,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $128,500.00 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 the most commonly searched types of Data Engineering jobs in Chantilly, VA?

The most popular types of Data Engineering jobs in Chantilly, VA are:

What are popular job titles related to Manager Data Engineering jobs in Chantilly, VA?

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

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

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

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

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

Infographic showing various Manager Data Engineering job openings in Chantilly, VA as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $99,457 per year, or $47.8 per hour.

Data Engineer (BigQuery)

Northramp LLC

Washington, DC โ€ข On-site

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Design, build, and maintain scalable ELT/ETL data pipelines ingesting data into BigQuery and other cloud data warehouses.

  • Develop and manage data models, schemas, and transformation logic using dbt, SQL, and Python; enforce testing and documentation standards.

  • Implement and operate pipeline orchestration, monitor pipeline health, SLA adherence, and failure alerting.


Job description

Opportunity Overview 

Northramp is seeking a Data Engineer to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across IaaS, PaaS, and SaaS environments.

You will design and operate cloud-native data pipelines, warehousing, and integration layers that make the client's data accessible, reliable, and analytics-ready. The role centers on modern cloud data platforms — with BigQuery as the primary analytical data warehouse — supporting the client's enterprise reporting, AI/ML, and program management data needs. 

This role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs.  

Location & Work Arrangement 

Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC, Maryland, and Virginia region.

The Ideal Candidate 

You build data pipelines that run reliably in production — not just demos. You’ve designed schemas and ingestion pipelines against messy, real-world source systems, you understand data quality as an engineering discipline, and you can work comfortably within the access controls and compliance requirements of a federal environment. 

Key Responsibilities 

  • Design, build, and maintain scalable ELT/ETL data pipelines ingesting structured and semi-structured data from cloud services, APIs, databases, and file sources into BigQuery and other cloud data warehouses. 
  • Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL, and Python; enforce testing and documentation standards across the data layer. 
  • Implement and operate pipeline orchestration using Apache Airflow (Cloud Composer), Prefect, or equivalent; monitor pipeline health, SLA adherence, and failure alerting. 
  • Integrate data platforms with upstream source systems including cloud-native services (AWS RDS, Azure SQL, GCS/S3), operational databases, and third-party SaaS APIs. 
  • Implement data access controls, column-level security, and encryption within BigQuery and related cloud storage services aligned to FedRAMP High and FISMA requirements. 
  • Build and maintain data cataloging and lineage metadata practices to support data governance and auditability requirements. 
  • Collaborate with Data Scientists and analysts to ensure data availability, schema stability, and performance of analytical workloads. 
  • Develop and maintain infrastructure-as-code for data platform components using Terraform; participate in CI/CD pipeline integration for data assets. 
  • Support data quality frameworks — profiling, anomaly detection, and SLA monitoring — across production data pipelines. 
  • Contribute to ATO documentation and data security controls including data classification, retention policies, and audit logging. 

Requirements

Required Qualifications 

  • 3 to 6 years of progressive, hands-on experience in data engineering with a focus on cloud data platforms and pipeline development. 
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field. Relevant experience may substitute. 
  • Strong SQL skills and hands-on experience with BigQuery as an analytical data warehouse; familiarity with BigQuery optimization (partitioning, clustering, materialized views). 
  • Proficiency in Python for data engineering tasks (ingestion, transformation, pipeline scripting). 
  • Experience with dbt for data transformation and modeling in cloud warehouse environments. 
  • Hands-on experience with pipeline orchestration tools: Apache Airflow, Cloud Composer, or equivalent. 
  • Working knowledge of cloud storage and data services across at least one major cloud provider (GCS, S3, Azure Blob Storage, Cloud Spanner, Redshift, or equivalent). 
  • Understanding of data modeling principles (dimensional modeling, data vault, or similar) and schema design for analytical workloads. 
  • Familiarity with data governance concepts — cataloging, lineage, access controls, retention — and their application in regulated environments. 
  • Knowledge of FedRAMP, FISMA, and NIST 800-53 data security requirements. 
  • U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance. 

Desired Qualifications 

  • Google Cloud Professional Data Engineer certification. 
  • AWS Certified Data Analytics Specialty or Azure Data Engineer Associate. 
  • Security+ or equivalent certification. 
  • Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis). 
  • DHS, or other federal data engineering experience. 
  • Active Public Trust or higher clearance. 

Clearance 

DHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information. 

About Northramp 

Northramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator’s mindset to move organizations from strategy to execution with confidence. 

We hold high standards because our clients’ missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported — a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology. 

Equal Opportunity 

Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify. 

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs