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Entry Level Aws Data Engineer Jobs in Washington, DC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

(Data Engineer)

Mclean, VA · On-site

$115K - $139K/yr

Position : Sr. Data Engineer Location : McLean, VA Onsite Experience : 12+ months Key ... Implement and manage data storage solutions utilizing DynamoDB, S3, and other AWS services.

Data Engineer

Alexandria, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

R0247439 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Alexandria, VA · On-site

$62K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Washington, DC · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... Proficiency in AWS Cloud Services (S3, Redshift, EMR, Glue, Lambda, etc.). * Experience with ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

R0245613 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Cloud Development Certification, including AWS Solutions Architect or Azure Certification

Data Engineer

Falls Church, VA · Hybrid

$81K - $105K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Governance, Python Software ... OCI, or AWS. * Strong collaboration and communication skills in cross-functional enterprise ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Cloud Development Certification, including AWS Solutions Architect or Azure Certification

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Cloud Development Certification, including AWS Solutions Architect or Azure Certification

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Cloud Development Certification, including AWS Solutions Architect or Azure Certification

Showing results 21-40

Entry Level Aws Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do entry level aws data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level aws data engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are the most commonly searched types of Aws Data Engineer jobs in Washington, DC?

The most popular types of Aws Data Engineer jobs in Washington, DC are:

What are popular job titles related to Entry Level Aws Data Engineer jobs in Washington, DC?

For Entry Level Aws Data Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Washington, DC look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Washington, DC are:

Infographic showing various Entry Level Aws Data Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer

Analytica

Washington, DC • Remote

$117K - $140K/yr

Full-time

Medical, Retirement

Re-posted 17 days ago


Job description

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers and architects to improve data accessibility, platform reliability, and self-service analytics capabilities.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.    

Key Responsibilities:

  • Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes.
  • Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses.
  • Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls.
  • Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability.
  • Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles.
  • Participate in platform incident response, troubleshooting, and operational support activities.

Required Qualifications:

  • Minimum of 1 years of experience in data engineering, cloud engineering, or platform operations.
  • Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions.
  • Proficiency in Python, SQL, and data engineering concepts.
  • Experience with Databricks, Apache Spark, PySpark, or similar big data technologies.
  • Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift.
  • Knowledge of ETL/ELT development and data pipeline design.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • AWS, Databricks, or cloud-related certifications preferred.
  • Ability to obtain or maintain an Active MBI Clearance.

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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