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Entry Level Aws Data Engineer Jobs in Phoenix, AZ

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora * Skilled in AWS ...

Eateam

Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Eateam

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

Syntricate Technologies

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Required : • Big Data Engineer with mapreduce, spark, hive, sql skillset • Expert in SQL and Data warehousing concepts. • Hands-on experience with public cloud data warehouse (GCP, Azure, AWS ...

Innova Solutions, Inc

Data Engineer

Phoenix, AZ · On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / ... AWS Advanced Tier Services Partner with 100+ certifications Website : Innova Solutions offers a ...

Honorhealth

Data Engineer II (ICP)

Scottsdale, AZ · Hybrid

$115K - $138K/yr

Data Engineer II works closely with the business and translates the requirements into technical ... Required * 1 year, Experience with cloud technologies such as Azure or AWS Preferred * 2 years ...

Staffingine LLC

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Adobe AEP engineer Job Location: Phoenix, AZ Job Type: Contract * Adobe Experience Platform AEP ... Experience with public cloudbased data platforms especially Snowflake and AWS Data integration ...

Intraedge

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location ... Hands-on experience with public cloud data warehouse (Google Cloud Platform, Azure, AWS). Must have ...

IntraEdge

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing ...

CNH Industrial N.V.

Data Engineer Intern

Phoenix, AZ · On-site

$19 - $31/hr

Supporting migration efforts from AWS to Azure , depending on project priorities during the internship term * Collaborating with engineers and data scientists to improve data flow efficiency and ...

New

Info Way Solutions

Cloud Engineer

Phoenix, AZ · On-site

$55.25 - $74/hr

... Engineer to join their dynamic team ... The role involves designing, building, and maintaining a cloud-based data platform on AWS, focusing ...

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All JobsAws Data Engineer JobsEntry Level Aws Data Engineer JobsEntry Level Aws Data Engineer Jobs in Phoenix, AZ

Entry Level Aws Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

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

As of Sep 7, 2026, the average yearly pay for entry level aws data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 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 Phoenix, AZ?

The most popular types of Aws Data Engineer jobs in Phoenix, AZ are:

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

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

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

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

Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Engineer

Forhyre

Phoenix, AZ

$113K - $136K/yr

Full-time

Re-posted 17 days ago

Key responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform

  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, including data models, ETL, and reporting elements

  • Execute and support testing cycles and post-production deployment, including peer code reviews

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.
 

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal