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Junior Data Engineering Jobs in Arizona (NOW HIRING)

MSR Technology Group

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 ...

Sarian, Inc.

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 ...

XTG

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.

USAA

Senior Marketing Data Scientist

Phoenix, AZ · On-site

Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks ... engineering, or other similar quantitative discipline; OR 4 years of experience in statistics ...

Acronis

Junior Infrastructure Engineer

Tempe, AZ · On-site

$58K/yr

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 ...

Oscar Health

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

Pwc

Data Engineer - Senior Associate

Phoenix, AZ

$77K - $202K/yr

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 ...

Terros Health

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 ...

AssetMark

Senior Data Steward

Phoenix, AZ

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

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ

$106K - $145K/yr

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 ...

Axon

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 ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Arizona

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 26, 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:
Junior Data Engineering jobs near you
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.

Senior Data Engineer

MSR Technology Group

Scottsdale, AZ

$106K - $145K/yr

Full-time

Posted 2 hours ago

Job description

Infomatics is hiring a Senior Data Engineer on a direct hire/FTE basis to lead design, development and implementation efforts on our client’s Enterprise Analytics platform which includes an MPP Enterprise Data Warehouse, cloud-based Data Lake and other Big Data technologies.
Essential Duties and Responsibilities:
  • Guides the the strategic capabilities and architecture design related to Data Warehousing, Big Data and Data analytics in close collaboration with Technical Leadership.
  • Architects and develops code for large-scale ETL pipelines with data processing frameworks supporting distributed data warehouse and distributed analytic systems running in the cloud.
  • Leads side-by-side design sessions with our business experts and engineers to understand our product and business to design, socialize, and implement proper conceptual, logical and physical data models.
  • Spearheads efforts with multiple, disparate, data providers, as well as downstream consumers, to engineer efficient, tracable, and fault tolerant, batch and streaming, data pipelines to that support complex analytical analysis and enterprise-wide Business Intelligence applications
  • In collaoration with our Data Science team, lead efforts to develop and implement production grade code/pipelines, in laguages including Python, leveraging advanced statistical routines, Machine Learning and other AI technologies.
  • Responsible for oversight and improvements on approaches to monitor and support data quality automation efforts. Working along side QA Engineering, implement quality check routines as part of data processing frameworks and validates flow of information.
  • Drives engineering efforts for Data Warehouse and Big Data infrastructure needs, including but not limited to, automation of system builds, security requirements, performance requirements and logging/monitoring in collaboration with DevOps engineers
  • Resolves escalated issues related to complex data anomolies and performance. In addition, implements adjustments, conducts after action reviews to determine root cause/corrective measures, and ensures knowledge transfer to operations support team.
  • 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 to standards, best practices and technical specifications.
  • Leads design and code review sessions and provides feedback and mentorship to peers.
  • Educates the BI & Analytics team on the latest industry technologies, trends and strategies; Provides thought leadership around approaches, patterns and best practices in the Data Engineering domain.
  • Assists employees, vendors or other customers by answering questions related to Data Warehousing and Big Data processes, procedures and services
  • Collaborate with data team, product owners, Scrum-master to refine and estimate stories/epics to deliver on commitments on time and with high quality while providing exceptional customer service
  • Provides Tier 3 support and create run books to mentor Tier 1 and Tier 2 support staff
  • Other duties as assigned
Background & Experience Required:
  • This position requires a minimum of 10 years of progressive database development and integration experience.
  • Demonstrated experience in designing and implementing large-scale logical and physical data model with expert knowledge of Kimball methodologies.
  • Demonstrated advanced/expert level experience in multiple relational (RDMS) and non-relational (NoSQL) data platforms is required.
  • Demonstrated advanced experience in SQL tuning, indexing, distribution, partitioning, data access patterns and scaling strategies is required.
  • Demonstrated advanced scripting knowledge with Jupyter/Python or R is required.
  • Demonstrated expert experience with data integrations and data processing for business intelligence and analytics workloads is required.
  • Experience in software versioning tools including git, SVN or related.
  • Advanced experience with AWS S3 or other distributed object stores, MPP Data Warehousing, (e.g. AWS Redshift), Elastic MapReduce is needed.
  • Experience implementing statistical models, ML and other AI technologies into production data is required.
  • Experience developing container
  • Demonstrated experience implamenting Big Data pipelines including Spark, Hive, Sqoop or related technologies.
  • Experience implementing streaming data pipelines to support realtime and near realtime decision making.
  • Understanding of Software Development Life Cycle (SDLC) methodologies such as Agile and Waterfall is needed.
  • Proven track record of designing data platforms leveraging large complex data sets.
Educational Requirements:
This position requires a Bachelors Degree in Computer Science, Computer Information Systems or related or equivalent experience.
Data or cloud related certifications are a plus.