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Data Engineer Entry Level Jobs in Chandler, AZ (NOW HIRING)

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Company Description IDEALFORCE has a Contract position available immediately for a Data Developer ... entry level to senior leadership Ability to work on multiple projects at the same time and shift ...

Data Developer 1.19

Phoenix, AZ · On-site

$56 - $58/hr

The Data Developer will create solutions using SSIS, SSRS, and T-SQL to support the various ADE ... Ability to effectively communicate with various levels of employees ranging from entry-level to ...

... Data Center Field Engineer / Project Engineer to support hyperscale data center construction ... entry-level candidates). * Working knowledge of Division 27/28 conveyance systems preferred ...

JOB SUMMARY The Data Center Technician I is an entry-level technical role responsible for ... Technicians work closely with the NOC and engineering teams to ensure reliable operation of mission ...

JOB SUMMARY The Data Center Technician I is an entry-level technical role responsible for ... Technicians work closely with the NOC and engineering teams to ensure reliable operation of mission ...

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Data Engineer Entry Level information

See Chandler, AZ salary details

$43.8K

$127.8K

$174.8K

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

As of Aug 24, 2026, the average yearly pay for data engineer entry level in Chandler, AZ is $127,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

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

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Chandler, AZ?

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

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

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

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

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

What cities near Chandler, AZ are hiring for Data Engineer Entry Level jobs?

Cities near Chandler, AZ with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level job openings in Chandler, AZ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $127,757 per year, or $61.4 per hour.

Software Engineer - Entry Level

General Dynamics Mission Systems, Inc

Scottsdale, AZ • On-site

$86K/yr

Other

Posted 7 days ago


General Dynamics Mission Systems rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

114th of 246 rated software companies


Job description

Basic Qualifications
Basic Qualifications
Requires a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 1+ years of job-related experience, or a Master's degree.
CLEARANCE REQUIREMENTS: Department of Defense TS/SCI security clearance is preferred at time of hire. Candidates must be able to obtain a TS/SCI clearance within a reasonable amount of time from date of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Workplace
Facility 100%, Flex
Responsibilities for this Position
ROLE AND POSITION OBJECTIVES:
As a Systems and Test Integration Engineer on our TIDES team, you will be at the center of building the software and infrastructure that our nation's most advanced spacecraft programs depend on. You'll work with a talented team of hardware and systems engineers to design and deploy the DevOps Test Infrastructure (DOTI), a critical platform that accelerates hardware testing and ensures mission reliability. This role contributes directly to the Hardware Development Environment (HDE), which is a shared engineering backbone for all spacecraft payload programs at GDMS.
This is a position for an early-career engineer eager to grow. You'll have the opportunity to learn from senior engineers, expanding your skills in test automation, CI/CD pipeline development, containerized deployments, and hardware-in-the-loop integration. Your contributions will have a real impact, supporting critical missions in a dynamic, team-oriented environment.
Preferred Skills & Experience:
A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, plus one year of relevant experience, or a master's degree.
Experience developing software in Python, C/C++, or a similar language.
A strong grasp of software fundamentals, including data structures, version control, testing, and debugging.
Experience writing automated tests with frameworks like PyTest to ensure software quality.
Familiarity with Git-based version control workflows, such as branching and merge requests.
Exposure to CI/CD platforms like GitLab CI for automating builds, tests, and releases.
Comfort working at the command line in Linux environments (RHEL, Ubuntu).
An understanding of computer networking concepts (Ethernet, subnets, routing) and hardware interfaces.
Exposure to containerization and orchestration tools like Docker, Kubernetes, or Helm is a significant plus.
Experience working in an agile or scrum environment.
Key Responsibilities
Design and develop test software and automation frameworks for our shared test infrastructure.
Build and maintain CI/CD pipelines in GitLab, including the management of self-hosted runners.
Deploy and manage containerized services on our hardware test benches.
Support the integration of our test software with real payload hardware and lab instrumentation.
Develop test plans and procedures to verify system and subsystem requirements.
Collaborate across teams, including with FPGA and hardware engineers, on system integration and platform features.
Investigate and debug complex software and integration issues with a systematic approach.
Create clear documentation for your designs and tooling to empower other engineers.
What Sets You Apart
You're curious about how the parts fit together. When you're writing test software, you want to know what hardware it drives, what the system needs it to do, and how your piece fits into the bigger picture.
You're drawn to working close to real hardware. Bringing software up against a bench of test equipment appeals to you as much as writing application code.
You write clean, readable, well-tested code.
You ask good questions when you're stuck, and you're comfortable admitting what you don't know.
When you hit a block, you look for a way through. You'd rather try something and learn from it than wait for someone to hand you the answer.
You take ownership of your work. You follow through, you check your own results, and you don't hand off half-done work.
You identify opportunities to apply AI tools for continuous improvement and automation.
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $86,300.00 - USD $86,300.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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