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Entry Level Aws Data Engineer Jobs (NOW HIRING)

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and ... Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in ... Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS ...

Kynite

AWS Data Engineer Snowflake

OR

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

CYNET SYSTEMS

Data Engineer

Torrance, CA · On-site

$55 - $60/hr

Strong hands-on experience with AWS data services (S3, Glue, Redshift, Lambda, EMR). * Proficiency ... AWS certification (Data Engineer or Solution Architect) Founded in 2010 and headquartered in the ...

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

Ocelot Consultants are certified AWS Solution Architects and have experience migrating enterprise applications and data for Fortune 500 companies. As a big data engineer you will develop innovative ...

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

Ocelot Consultants are certified AWS Solution Architects and have experience migrating enterprise applications and data for Fortune 500 companies. As a big data engineer you will develop innovative ...

Kynite

AWS Data Engineer Snowflake

OR · On-site

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Seven Seven Software

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

o Design and implement scalable data pipelines using Databricks or AWS services such as Glue ... engineering technologies and best practices. Job Requirements

Changeis

Data Engineer

$117K - $140K/yr

Experience with AWS data services (e.g., S3, Glue, Redshift, Lambda) * Familiarity with schema evolution, data validation, and data quality frameworks * Experience mentoring junior engineers or ...

Lancesoft

Senior Data Engineer

Reston, VA · On-site

$70 - $75/hr

Senior Data Engineer: Remote Location: Remote Pay range: $70/hr. - $75/hr. On w2 Note: Temp to hire ... AWS Step Function * BI Tool * Gen AI * Node.Js Development * Python * RedShift/SQL Key ...

CYNET SYSTEMS

Senior Data Engineer

Fort Mill, SC · On-site

$60 - $65/hr

Proven experience in data engineering roles with a focus on Snowflake, AWS services, Python, and DBT. * Strong analytical and problem-solving skills. * Excellent communication and teamwork abilities.

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Entry Level Aws Data Engineer information

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

As of Jun 5, 2026, the average yearly pay for entry level aws data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 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 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.

More about Entry Level Aws Data Engineer jobs
What cities are hiring for Entry Level Aws Data Engineer jobs? Cities with the most Entry Level Aws Data Engineer job openings:
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Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Donato Technologies, Inc

New York, NY • On-site

$125K - $150K/yr

Contractor

Posted 18 days ago

Job description

Job Title: Sr Data engineer

Location : NYCExperience – 8+

 5 Days Onsite
Look for only New york and New Jersey 

Job Description :- 

Required Skills:

  • Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java)
  • Proficiency in atleast one cluster computing frameworks (preferably Spark, alternatively Flink or Storm)
  • Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or similar) and atleast one NOSQL data stores (Cassandra, Dynamo, MongoDB or similar)
  • Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS Step Functions or similar)
  • Proficiency with data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), big-data storage formats (Parquet, Iceberg, or similar), data
  • processing methodologies (batch, micro-batching, and stream), one or more data modelling techniques (Dimensional, Data Vault, Kimball, Inmon, etc.), Agile methodology (develop PI plans and roadmaps), TDD (or BDD) and CI/CD tools (Jenkins, Git,)
  • Strong organizational, problem-solving and critical thinking skills; Strong documentation skills

Preferred skills:

  • Experience using AWS Bedrock APIs
  • Knowledge of Generative AI concepts (such as RAG, Vector embeddings, Model fine tuning, Agentic AI)
  • Experience in IaC (preferably Terraform, alternatively AWS cloud formation)