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Junior Data Engineering Jobs in Arizona (NOW HIRING)

Senior Data Engineer

Scottsdale, AZ

$106K - $145K/yr

Working along side QA Engineering, implement quality check routines as part of data processing ... Provides mentorship and guidance to help guide and grow the technical depth of junior Data ...

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 ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

... junior team members, analysts, or business users as needed. Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.

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 ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ... Provide guidance or informal mentorship to junior data scientists or analysts when needed

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

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 ...

Ensure engineering teams are productively deployed and aligned with strategic objectives ... Mentor and develop junior data stewards, providing feedback and building team capabilities

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Showing results 1-20

Junior Data Engineering information

See Arizona salary details

$31.2K

$66.9K

$102K

How much do junior data engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for junior data engineering 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 is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Arizona? The most popular types of Data Engineering jobs in Arizona are:
What are popular job titles related to Junior Data Engineering jobs in Arizona? For Junior Data Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Arizona look for? The top searched job categories for Junior Data Engineering jobs in Arizona are:
What cities in Arizona are hiring for Junior Data Engineering jobs? Cities in Arizona with the most Junior Data Engineering job openings:
Infographic showing various Junior Data Engineering job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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

Re-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