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Cloud Data Engineer Jobs in Washington (NOW HIRING)

Data Engineer (BigQuery)

Reston, VA · On-site

$119K - $143K/yr

Opportunity Overview Northramp is seeking a Data Engineer to join the team supporting a mission ... You will design and operate cloud-native data pipelines, warehousing, and integration layers that ...

Data Engineer (BigQuery)

Bethesda, MD · On-site

$122K - $147K/yr

Opportunity Overview Northramp is seeking a Data Engineer to join the team supporting a mission ... You will design and operate cloud-native data pipelines, warehousing, and integration layers that ...

Data Engineer (BigQuery)

Reston, VA · On-site

$119K - $143K/yr

Opportunity Overview Northramp is seeking a Data Engineer to join the team supporting a mission ... The role centers on modern cloud data platforms - with BigQuery as the primary analytical data ...

Data Engineer (BigQuery)

Washington, DC · On-site

$129K - $155K/yr

Opportunity Overview Northramp is seeking a Data Engineer to join the team supporting a mission ... The role centers on modern cloud data platforms - with BigQuery as the primary analytical data ...

Data Engineer (BigQuery)

Washington, DC · On-site

$129K - $155K/yr

Opportunity Overview Northramp is seeking a Data Engineer to join the team supporting a mission ... You will design and operate cloud-native data pipelines, warehousing, and integration layers that ...

Data Engineer (BigQuery)

Washington, DC · On-site

$129K - $155K/yr

Opportunity Overview Northramp is seeking a Data Engineer to join the team supporting a mission ... The role centers on modern cloud data platforms - with BigQuery as the primary analytical data ...

Cloud Big Data Software Engineer

Tysons, VA · On-site

$56 - $74/hr

Cloud Big Data Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big Data ...

Data Engineer (BigQuery)

Bethesda, MD

$122K - $147K/yr

Opportunity Overview Northramp is seeking a Data Engineer to join the team supporting a mission ... The role centers on modern cloud data platforms - with BigQuery as the primary analytical data ...

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Exposure to cloud platforms * Strong analytical mindset * Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation ...

Cloud Data Architect

Herndon, VA · On-site

$66.75 - $85/hr

The Cloud Data Architect owns enterprise platform architecture, security baselines, and Authority ... Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field.

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... The ideal candidate will have a strong background in building scalable data pipelines, modern cloud ...

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud ...

Cloud Data Architect

Herndon, VA · On-site

$65.50 - $84.25/hr

The Cloud Data Architect owns enterprise platform architecture, security baselines, and Authority ... Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field.

Showing results 41-60

Cloud Data Engineer information

See Washington salary details

$26

$71

$98

How much do cloud data engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for cloud data engineer in Washington is $71.22, according to ZipRecruiter salary data. Most workers in this role earn between $60.72 and $81.15 per hour, depending on experience, location, and employer.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.

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

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

What are popular job titles related to Cloud Data Engineer jobs in Washington?

For Cloud Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Cloud Data Engineer jobs in Washington look for?

The top searched job categories for Cloud Data Engineer jobs in Washington are:

What cities in Washington are hiring for Cloud Data Engineer jobs?

Cities in Washington with the most Cloud Data Engineer job openings:

Infographic showing various Cloud Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $148,146 per year, or $71.2 per hour.

Data Engineer (BigQuery)

Northramp LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


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