1

Junior Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Provide guidance and support to junior team members, analysts, or business users as needed.

Senior Data Engineer

Scottsdale, AZ

$106K - $145K/yr

Provides mentorship and guidance to help guide and grow the technical depth of junior Data Engineers and across the BI & Analytics team. * Ensures documentation is complete and up to date with regard ...

Data Engineer

Scottsdale, AZ · On-site

$60 - $70/hr

Data Engineer Location: Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire ... Demonstrated ability to lead projects and mentor junior team members. Strong analytic skills ...

... guiding junior team members - Upholding standards in project deliverables - Building and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

As a Junior Data Center Infrastructure Engineer, you will support day-to-day operational tasks across our data center locations. Working closely with senior engineers and vendors, you will assist ...

Senior Data Engineer - Central

Phoenix, AZ · On-site

$105K - $143K/yr

... junior team members and peers. • Participates in cross-functional initiatives to support ... emerging data engineering tools, technologies, and best practices and recommends and drives ...

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Mentor junior and mid-level engineers through thorough code reviews, pairing on complex problems ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

Mentor junior and mid-level engineers through thorough code reviews, pairing on complex problems ... Strong data modeling, SQL, testing, observability, and performance optimization skills, with a ...

Snowflake Architect

Scottsdale, AZ · On-site

$64.25 - $82.50/hr

Provide technical guidance and mentorship to junior data engineers, ensuring best practices are followed. * ETL/ELT Strategy: Develop and oversee the implementation of efficient ETL/ELT processes ...

Mentor junior engineers and provide technical guidance on software engineering practices and data architecture decisions. * Stay current with emerging technologies in data engineering, AI/ML tooling ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Mentor junior engineers and provide technical guidance on software engineering practices and data architecture decisions. * Stay current with emerging technologies in data engineering, AI/ML tooling ...

next page

Showing results 1-20

Junior Data Engineer information

See Arizona salary details

$31.2K

$66.9K

$102K

How much do junior data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for junior data engineer in Arizona is $66,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $74,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of project success.

What is a Junior Data Engineer job?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What do junior data engineers do?

Junior data engineers assist in designing, building, and maintaining data pipelines and databases to ensure data is accessible and reliable for analysis. They often work with tools like SQL, Python, and cloud platforms, and may support data cleaning, integration, and troubleshooting under the supervision of senior engineers.

Will AI replace Data Engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. While AI tools can automate certain tasks like data cleaning and analysis, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

Can I make 200K as a Data Engineer?

Senior Data Engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a 200K salary in many regions. Entry-level or junior Data Engineers typically earn lower salaries, with compensation increasing with expertise, location, and industry demand.

What are the key skills and qualifications needed to thrive in the Junior Data Engineer position, and why are they important?

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

What are the most commonly searched types of Data Engineer jobs in Arizona? The most popular types of Data Engineer jobs in Arizona are:
What are popular job titles related to Junior Data Engineer jobs in Arizona? For Junior Data Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Junior Data Engineer jobs? Cities in Arizona with the most Junior Data Engineer job openings:
Infographic showing various Junior Data Engineer job openings in Arizona as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $66,909 per year, or $32.2 per hour.

Principal Data & Analytics Engineer

Iridium Satellite, LLC

Chandler, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Company Overview

Iridium is an award-winning and innovative satellite communications company with bragging rights to the only network that offers voice and data connectivity anywhere in the world.   For over 20 years, Iridium's unique network and services have supported critical communications needs for individuals, businesses, and the evolving Internet of Things.

At Iridium, we understand the importance of staying connected and the limitations of traditional communications networks. People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium to stay connected. We take our responsibility for providing these essential communications very seriously and pride ourselves on offering a reliable lifeline when needed.  Likewise, Iridium is committed to providing an exciting and innovative workplace, where employees are challenged to think outside the box and collaborate on new, bold ideas and solutions.  Our talented teams are passionate about their work and the impact our company makes around the world.  Iridium fosters an empowering and inclusive culture that allows employees to genuinely be their best selves.   We are looking for others who want to join this truly unique company that celebrates our employees and provides the opportunity to truly make a difference in the world.

What We're Looking For:

Iridium is seeking a Principal Data Engineer with 10+ years of experience to serve as the technical leader for our modern data platform, driving the architecture, engineering standards, and evolution of our enterprise data ecosystem. As a Principal Data Engineer, you will bridge the disciplines of data engineering and analytics engineering, transforming raw enterprise data into scalable, trusted, and business-ready data products while establishing the technical standards that underpin our modern data platform- this role bridges the gap between raw data and business-facing analytics. You will be responsible for building robust data pipelines, architecting our data warehouse layers, and creating clean, documented data/semantic models that empower the entire organization. In this role, you will also act as a technical leader, establishing standards and mentoring engineers.

What You'll Do:
  • Use your data modeling and transformation skills to transform raw data into business ready dimensional models/star schemas, data marts and semantic models that support robust self-service Business Intelligence and AI
  • Design, build, and optimize scalable end-to-end ELT/ETL pipelines to ingest structured and unstructured data from diverse sources
  • Develop automated scheduling, monitoring, and orchestration to guarantee data freshness and pipeline reliability
  • Partner with data owners and governance stakeholders to establish data governance policies / procedures to ensure data quality and compliance, and implement robust data security measures to protect sensitive data 
  • Work closely with business stakeholders and the IT analytics team to understand data requirements, translate them into technical specifications, and collaborate with data engineers to implement data solutions
  • Communicate data platform architecture and capabilities to technical and non-technical teams
  • Assist in the development and delivery of training for data & analytic platform capabilities and content
  • Exercise technical authority over projects and provide technical leadership and mentoring to the team
  • Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement
What You'll Need to Succeed:
  • Bachelor's degree in Engineering, Information Systems or a related field of study
  • 10+ years related experience in leading complex technical projects, DataOps, and data engineering
  • Expertise in designing data models for different data types and use cases 
  • Deep experience with relational databases, including advanced SQL skills
  • Experience with modern cloud data platforms and tools such as Snowflake, Databricks, dbt, etc.
  • Familiarity with data warehouse concepts, data lake architecture, and data analytics tools 
  • Proficiency in cloud platforms (AWS, Azure, GCP) for data storage and processing 
  • Understanding of data governance principles, data privacy regulations and best practices for data security
  • Knowledge of programming languages like Python, Java, or Scala for data processing and automation 
  • Excellent communication skills, with the ability to convey products, deliverables, analyses, and/or issues clearly and confidently, and recognize and adapt to different communication techniques
  • Familiarity with agile development processes and tools (JIRA, GIT, Confluence, etc.)
  • The ability to build meaningful relationships with others, including senior leadership outside of your own department, and comfort in providing constructive feedback to your team members and management
  • Be able to analyze a situation or problem, generate effective solutions, and see those solutions through to completion 
  • Can thrive in a dynamic environment by handling multiple tasks and managing shifting priorities 
  • Be proactive in sharing knowledge you've learned with others 
Things That Would be Great if You Brought to the Table:
  • Advanced degree in Engineering, Information Systems or a related field of study
  • Experience in telecommunications, ground networks, and/or satellite communications industry
  • Familiarity with agile development tools (JIRA, GIT, Confluence, etc.)
  • Strong knowledge of data engineering methodologies, DevOps/DataOps & Agile processes
We'll also need you to:
  • Be able to travel occasionally (quarterly)
  • Be able to work a hybrid schedule that includes at least 60% of your time (3 days per week) in-office and 2 days from home 
  • Be a US Citizen
Work Environment:

This position primarily works in an office setting and is largely sedentary with the majority of the position working with a computer. The role typically requires the use of basic office equipment such as a phone, video, computer, keyboard, mouse, and printer. 

We believe in-person connection drives innovation, strengthens mentorship, and builds culture, while flexibility enables employees to do their best work. Under Iridium's Hybrid Work Policy, employees are expected to work at least three days per week (approximately 60%) in an Iridium office to support collaboration, relationship-building, and professional growth.

 

Additional Information

This job description outlines the general nature and level of work for this role and is not a comprehensive list of duties, responsibilities, or qualifications. Employees may be assigned additional responsibilities as needed.

Base Pay Range: $140,000 - $192,000 USD

Actual compensation will be determined based on a variety of factors and this range represents an estimate of compensation at the time of posting. Base salary is only one part of our compensation package for this role. You may also be eligible for company stock and annual bonus. Employee benefits also include medical, dental, and vision insurance coverage; 401(k) retirement plan options; paid time off and paid holidays; paid parental leave; and other discounts and perks.  

Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.

Employment Type: FULL_TIME