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Azure Aws Data Engineer Jobs in Reston, VA (NOW HIRING)

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti ...

AWS Data Engineer - Reston, VA(Onsite)

Reston, VA · On-site

$119K - $143K/yr

AWS Data Engineer Location: Reston,VA (Onsite) Qualifications (Data Engineer/ Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working ...

AWS Data Engineer - Reston, VA(Onsite)

Reston, VA · On-site

$119K - $143K/yr

AWS Data Engineer Location: Reston,VA (Onsite) Qualifications (Data Engineer/ Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working ...

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

Data Engineer Location: Onsite in Fairfax, VA 3 days and in Washington, DC 2 days per week ... AWS Data Analytics * IBM Data Architect * CompTIA DataSys+ certifications Security Clearance ...

Data Engineer (AWS, Azure, GCP)

Reston, VA · On-site

$119K - $143K/yr

Specific responsibilities for the Data Engineer - Cloud position include:  * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud ...

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent certification.4 years of data engineering experience, or 3 years with a Master's degree.Ability ...

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent certification. * 4 years of data engineering experience, or 3 years with a Master's degree.

Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Showing results 21-40

Azure Aws Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do azure aws data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for azure aws data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is an Azure AWS Data Engineer?

An Azure AWS Data Engineer is a professional who designs, builds, and manages data solutions using both Microsoft Azure and Amazon Web Services (AWS) cloud platforms. They are responsible for developing data pipelines, integrating data from various sources, and ensuring data is stored, processed, and available for analytics or business intelligence purposes. These engineers have expertise in both Azure and AWS tools and services, allowing organizations to leverage multi-cloud data strategies and optimize their data infrastructure. Their role is critical for businesses that operate across both cloud environments to ensure seamless data flow, security, and scalability.

What are the key skills and qualifications needed to thrive as an Azure AWS Data Engineer?

To thrive as an Azure AWS Data Engineer, you need strong proficiency in data modeling, ETL processes, cloud architecture, and programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Expertise in cloud platforms (Azure and AWS), familiarity with tools such as Azure Data Factory, AWS Glue, and relevant certifications like AWS Certified Data Analytics or Azure Data Engineer Associate are highly valued. Excellent problem-solving, collaboration, and communication skills set top performers apart in this role. These skills ensure the efficient design, deployment, and management of scalable, secure data solutions that drive business insights and innovation.

How does an Azure AWS Data Engineer typically collaborate with cross-functional teams on cloud migration projects?

As an Azure AWS Data Engineer, you’ll frequently work alongside data architects, business analysts, DevOps engineers, and project managers during cloud migration projects. Your role involves designing and implementing data pipelines, ensuring secure and efficient data transfer, and optimizing cloud resources for both Azure and AWS environments. Effective communication and collaboration are key, as you’ll need to align data solutions with business needs and troubleshoot issues that arise during migration. Regular meetings, documentation, and shared project management tools help maintain alignment and transparency across teams.

What is the difference between Azure Aws Data Engineer vs Data Analyst?

AspectAzure Aws Data EngineerData Analyst
Required SkillsCloud platforms, ETL, data pipelines, SQL, Python, SparkData visualization, SQL, Excel, statistical analysis
CertificationsAzure Data Engineer, AWS Data AnalyticsNone typically required, but certifications like Microsoft Data Analyst Associate are common
Work EnvironmentCloud environments, big data platformsBusiness intelligence tools, spreadsheets, reports
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Aws Data Engineers focus on building and maintaining data pipelines in cloud environments, requiring technical skills in cloud platforms and big data tools. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, their responsibilities and skill sets differ significantly.

Infographic showing various Azure Aws Data Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

AWS Cloud Data Engineer

Mclean, VA • Remote

System One
Business Consulting Services • 5 - 10K employees

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Job description

Job Title: AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.
  • Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.
  • Develop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.
  • Implement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.
  • Create and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.
  • Establish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.
REQUIREMENTS
  • Ability to obtain a Federal Public Trust clearance.
  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
  • Minimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.
  • Strong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.
  • Proficiency in Python, Scala, or Java for data processing and pipeline development.
  • Experience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.
  • Understanding of data modeling concepts for transactional and analytical workloads.
  • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.
  • Strong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.
NICE TO HAVE
  • AWS Certified Data Engineer – Associate certification.
  • AWS Certified Solutions Architect or other relevant AWS certifications.
  • Experience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.
  • Knowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.
  • Familiarity with Git and collaborative development practices.
  • Knowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.
  • Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
  • Understanding of data privacy regulations and compliance frameworks.
  • Experience tuning and optimizing distributed data processing systems.
  • Knowledge of networking, security, and IAM policies related to data engineering workflows.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CD1 Ref: #851-Rockville-S1


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US