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Cloud Data Engineer Entry Level Jobs in Reston, VA

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Sr. Data engineer Location: Reston, VA Duration: long term Mandatory need: Candidate have to be ex ... Experience with Snowflake as a cloud data warehouse. * Experience using Apache Airflow for workflow ...

Data Engineer

Washington, DC

$129K - $155K/yr

We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of ... Build, configure, and manage cloud data platform infrastructure on AWS, GCP, and/or Azure ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of ... Build, configure, and manage cloud data platform infrastructure on AWS, GCP, and/or Azure ...

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Cloud Commander : Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

Cloud Commander : Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

The Data Engineer works with moderate supervision across two equally weighted domains: (1) large-scale data pipeline development processing market events in a cloud environment, and (2) design and ...

Data Engineer

Springfield, VA · On-site

$119K - $143K/yr

... cloud data platforms, particularly AWS (S3, Glue, RDS, etc.). • Strong SQL skills and experience with role-based access control in database systems. • Familiarity with scripting or programming ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Reston, VA

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

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Cloud Data Engineer Entry Level information

See Reston, VA salary details

$24

$65

$90

How much do cloud data engineer entry level jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for cloud data engineer entry level in Reston, VA is $65.42, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $74.52 per hour, depending on experience, location, and employer.

What does a Cloud Data Engineer Entry Level do?

A Cloud Data Engineer Entry Level is responsible for assisting in the design, development, and management of data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud. They help build and maintain pipelines that move and transform data, ensuring it is accessible and secure for analysis. Entry-level cloud data engineers often work under the supervision of senior engineers, contributing to data integration, storage solutions, and performance optimization tasks while learning industry best practices.

What are the key skills and qualifications needed to thrive as an Entry Level Cloud Data Engineer, and why are they important?

To thrive as an Entry Level Cloud Data Engineer, you need a solid understanding of data structures, basic programming (often in Python or SQL), and foundational knowledge of cloud platforms such as AWS, Azure, or Google Cloud, typically supported by a related degree or certification. Experience with cloud-based data warehousing tools (like Amazon Redshift or BigQuery), ETL processes, and data pipeline orchestration systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve data-related challenges. These skills and qualities are crucial for efficiently building, managing, and optimizing cloud data solutions that support business analytics and decision-making.

What types of projects and tasks can an entry-level Cloud Data Engineer expect to work on during their first year?

As an entry-level Cloud Data Engineer, you can expect to work on foundational tasks such as building and maintaining data pipelines, assisting with cloud platform migrations, and supporting data integration efforts. You'll often collaborate with senior engineers and data analysts to ensure data is properly ingested, transformed, and stored in cloud environments like AWS, Azure, or Google Cloud. Common challenges include learning to troubleshoot data flow issues and adapting to various cloud tools and services. Over time, you'll gain exposure to automation, scripting, and optimizing data workflows, which are essential for career growth in this field.
What are the most commonly searched types of Cloud Data Engineer jobs in Reston, VA? The most popular types of Cloud Data Engineer jobs in Reston, VA are:
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What job categories do people searching Cloud Data Engineer Entry Level jobs in Reston, VA look for? The top searched job categories for Cloud Data Engineer Entry Level jobs in Reston, VA are:
What cities near Reston, VA are hiring for Cloud Data Engineer Entry Level jobs? Cities near Reston, VA with the most Cloud Data Engineer Entry Level job openings:
Sr. Data engineer

Sr. Data engineer

Accord Technologies Inc.

Reston, VA • On-site

$119K - $143K/yr

Contractor

Posted 10 days ago


Job description

Sr. Data engineer
Location: Reston, VA
Duration: long term

 
Mandatory need: 
 Candidate have to be ex-Fannie Mae, and they have to be able to work out of Reston, VA on a hybrid basis.
 

Must Haves:

  • Experience with Python for data engineering and ETL development.
  • Strong experience in SQL for data manipulation and complex query building.
  • Hands-on experience with AWS Lambda for serverless data processing.
  • Experience building ETL pipelines using AWS Glue.
  • Experience working with data warehouse solutions (e.g., Redshift, BigQuery, etc.).
  • Experience with Snowflake as a cloud data warehouse.
  • Experience using Apache Airflow for workflow orchestration.
  • Experience with Spark or PySpark for large-scale data processing.
  • Experience usingApache Airflowfor workflow orchestration

Key Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines using Python and SQL
  • Develop ETL processes using AWS Glue, AWS Lambda, and other AWS services.
  • Build and maintain data integrations between internal systems and external data sources.
  • Work with Data Warehouses to model and manage large-scale datasets for analytics and reporting.
  • Ensure data quality, integrity, and security across the data pipeline.
  • Collaborate with data scientists, analysts, and other engineers to deliver business-critical data solutions.
  • Monitor data pipelines and troubleshoot issues proactively.
  • Experience with Fannie Mae’s data governance frameworks (e.g., DataHub, BCAP).
  • Knowledge of GSE-specific regulations (FHFA, Dodd-Frank).
  • Certifications: Azure Data Engineer (DP-203), Databricks, or AWS.
  • Experience with real-time data streaming (Kafka, Event Hubs).