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Entry Level Aws Data Engineer Jobs in Virginia (NOW HIRING)

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

AWS Data Engineer Location: Richmond, VA (Onsite) Duration: Long term contract Note: Ex-CapitalOne candidates preferred, especially those who worked atleast 1+ yr of exp with them. Job ...

AWS Data Engineer

Roanoke, VA · On-site +1

$112K - $134K/yr

AWS Data Engineer Location: Roanoke, VA (100% remote) Duration: 2-3 months with possible longer extension Description Carilion is Based in Roanoke, VA, and are an award-winning, community-based ...

AWS Data engineer

Reston, VA · On-site

$119K - $143K/yr

Job Title: Data Engineer Location: Reston, VA (Hybrid) Type - Full Time H1 Transfer works ... Strong knowledge on AWS services such as (S3, RDS, EC2, Lambda, SQS, SNS, Redshift) * Excellent ...

Senior AWS Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Experience developing data engineering pipelines on AWS stack using Python. * Deep technical knowledge of AWS services - EC2, ECS, EMR, Lambda, Step Functions, S3, SNS/SQL, CloudWatch. * Solid ...

Senior AWS Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Experience developing data engineering pipelines on AWS stack using Python. * Deep technical knowledge of AWS services - EC2, ECS, EMR, Lambda, Step Functions, S3, SNS/SQL, CloudWatch. * Solid ...

AWS Data Engineer with R

Reston, VA · On-site

$119K - $143K/yr

The AWS Data Engineer role involves contributing to software application design, coding, and maintaining system stability while working with cloud-native data pipelines and analytics dashboards.

... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

WebEx Required Skills: * Hands on solution development on AWS cloud using Data Engineering Services and integrating with various internal and external applications. * Expertise in designing ...

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/yr

Overview Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role ...

Data Engineer - AWS/Databricks

Reston, VA · Remote

$119K - $143K/yr

Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Implement and manage AWS services including Lambda, S3, and Fargate. * Automate workflows and ... Apply best practices in cloud data engineering, including security and compliance standards.

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads meetings with internal customers to determine data needs Requirements mapping and ...

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 ... Hands-on experience with AWS Lambda for serverless data processing. * Experience building ETL ...

Data Engineer

Springfield, VA · On-site

$119K - $143K/yr

... AWS Glue for efficient and scalable data ingestion. • Build and maintain a near real-time data ... Analysts, Software Engineers, and other stakeholders to ensure data systems meet business ...

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 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

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 ...

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Entry Level Aws Data Engineer information

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, and why are they important?

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, and how do they contribute to the team's goals?

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 Virginia? The most popular types of Aws Data Engineer jobs in Virginia are:
What are popular job titles related to Entry Level Aws Data Engineer jobs in Virginia? For Entry Level Aws Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Aws Data Engineer jobs in Virginia look for? The top searched job categories for Entry Level Aws Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Aws Data Engineer jobs? Cities in Virginia with the most Entry Level Aws Data Engineer job openings:
Infographic showing various Entry Level Aws Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
AWS Data Engineer

AWS Data Engineer

IT America Inc

Richmond, VA • On-site

$113K - $136K/yr

Contractor

Re-posted 16 days ago


Job description

Position: AWS Data Engineer

Location: Richmond, VA (Onsite)

Duration: Long term contract

Note: Ex–CapitalOne candidates preferred, especially those who worked atleast 1+ yr of exp with them.

Job Responsibilities:

  • Develop and optimize scalable data pipelines using Python and PySpark, with a primary focus on leveraging AWS services like Glue, EMR, and Step Functions.
  • Design, implement, and maintain data processing systems utilizing the capabilities of AWS Glue for data ingestion, transformation, and orchestration.
  • Utilize EMR clusters for distributed data processing and analytics, ensuring efficient resource utilization and performance.
  • Implement serverless workflows using AWS Step Functions to orchestrate complex data processing tasks and workflows.
  • Collaborate closely with cross-functional teams to understand data requirements and translate them into scalable and efficient solutions.
  • Ensure data quality, governance, and security standards are adhered to throughout the data pipeline.
  • Troubleshoot and debug data-related issues in production environments, leveraging AWS monitoring and logging tools.
  • Stay abreast of the latest advancements in big data technologies, AWS services, and best practices in data engineering.

Job Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Demonstrated expertise in developing data pipelines with Python and PySpark, with a strong emphasis on utilizing AWS Glue, EMR, and Step Functions.
  • Proficiency in SQL for data manipulation and querying.
  • Experience with distributed computing frameworks like Hadoop and Spark.
  • Strong understanding of cloud computing principles and experience with AWS services.
  • Excellent problem-solving and communication skills, with the ability to work collaboratively in a team environment.
  • Familiarity with Agile development methodologies is advantageous.