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

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to ...

Data Engineer

Vienna, VA · On-site

$150 - $200/hr

... Azure Data Factory, Databricks, AWS Glue, AWS EventBridge, and S3 Event Notifications for data ... Data Lake Design * Python Programming * SQL Proficiency * Data Governance ATS Optimization ...

AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to ...

AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to ...

AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to ...

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data ...

Data Engineer

Vienna, VA · On-site

$125 - $150/hr

Use tools such as dbt, Informatica, Azure Data Factory, Databricks, and AWS Glue for data ... Mentor junior engineers, providing technical guidance and peer reviews. * Maintain technical ...

Data Engineer

Vienna, VA · On-site

$116K - $126K/yr

Use tools such as dbt, Informatica, Azure Data Factory, Databricks, and AWS Glue for data ... Mentor junior engineers, providing technical guidance and peer reviews. * Maintain technical ...

Data Engineer

Vienna, VA · On-site

$120K - $135K/yr

Use tools such as dbt, Informatica, Azure Data Factory, Databricks, and AWS Glue for data ... Mentor junior engineers, providing technical guidance and peer reviews. * Maintain technical ...

Data Engineer

Vienna, VA

$120K - $135K/yr

Use tools such as dbt, Informatica, Azure Data Factory, Databricks, and AWS Glue for data ... Mentor junior engineers, providing technical guidance and peer reviews. * Maintain technical ...

Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data ...

Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data ...

Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift ...

Showing results 41-60

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.

Data Engineer

Washington, DC • On-site

Accenture Federal Services
IT Services • 10K+ employees

$129K - $155K/yr

Full-time

Re-posted 4 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 501 rated business services


Job description

The work: 

  • Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
  • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
  • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
  • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
  • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
  • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
  • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here's what you need: 

  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 
  • Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
  • Experience with Python, SQL, Spark, and PySpark 
  • Experience with data platforms like Databricks, Palantir, and Snowflake 
  • Familiarity with data orchestration and data quality processes 
  • Must be a US Citizen

Bonus points if you have: 

  • Secret clearance or above 
  • Experience working with federal clients 
  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

  • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 
  • Experience with Agile / Scrum

  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

What Accenture Federal Services employees say

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