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Cloud Data Engineer Entry Level Jobs in Reston, VA

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 ...

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

Falls Church, VA · Hybrid

$81K - $105K/yr

No As a Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your ... Experience with enterprise-scale data architectures and cloud data platforms such as 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

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 ...

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 ...

Cleared 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 ...

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 · 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 · 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 ...

Showing results 21-40

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 Aug 19, 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?

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:

What are popular job titles related to Cloud Data Engineer Entry Level jobs in Reston, VA?

For Cloud Data Engineer Entry Level jobs in Reston, VA, the most frequently searched job titles are:

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:

Infographic showing various Cloud Data Engineer Entry Level job openings in Reston, VA as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,081 per year, or $65.4 per hour.

Cleared Data Engineer

Accenture Federal Services

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 13 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

47th of 492 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives. The Cleared Data Engineer will design and maintain scalable data pipelines, develop efficient data processing workflows, and collaborate with cross-functional teams to implement data solutions that meet business objectives.
Responsibilities:
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Qualifications:
Required:
• 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
• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
Preferred:
• Experience working with federal clients
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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