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Junior Data Engineering Jobs in Arizona (NOW HIRING)

Snowflake Architect

Scottsdale, AZ ยท 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 ...

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 ...

Data Engineer II (ICP)

Scottsdale, AZ ยท Hybrid

$115K - $138K/yr

Data Engineer II mentors' other junior members on best practices and design patterns. Experience in utilizing data Ingestion, data transformation and data quality tools, leveraging tools such as the ...

Data Engineer II (ICP)

Scottsdale, AZ ยท On-site

$115K - $138K/yr

Data Engineer II mentors' other junior members on best practices and design patterns. Experience in utilizing data Ingestion, data transformation and data quality tools, leveraging tools such as the ...

Fabric Data Engineer

Scottsdale, AZ ยท Hybrid

$115K - $138K/yr

You will design and optimize enterprise-scale data solutions, set the technical standards the team works to, and mentor junior engineers along the way. This work matters right now. You will help ...

Fabric Data Engineer

Scottsdale, AZ ยท On-site

$115K - $138K/yr

You will design and optimize enterprise-scale data solutions, set the technical standards the team works to, and mentor junior engineers along the way. This work matters right now. You will help ...

Data Scientist II

Tempe, AZ ยท 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

The Data Scientist III balances statistical rigor, engineering best practices, and business impact ... The incumbent serves as a technical leader on project teams, a mentor to junior data scientists ...

The Data Scientist III balances statistical rigor, engineering best practices, and business impact ... The incumbent serves as a technical leader on project teams, a mentor to junior data scientists ...

The Data Scientist III balances statistical rigor, engineering best practices, and business impact ... The incumbent serves as a technical leader on project teams, a mentor to junior data scientists ...

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

Senior Data Engineer II (Hybrid)

Scottsdale, AZ ยท 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 ...

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 ...

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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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 Aug 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 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 the key skills and qualifications needed to thrive as a junior data engineer?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,909 per year, or $32.2 per hour.

Snowflake Architect

Sarian, Inc.

Scottsdale, AZ โ€ข On-site

$64.25 - $82.50/hr

Full-time

Re-posted 15 days ago


Job description

JD:
Must Have Technical/Functional Skills
The Snowflake Architect will lead the design, development, and maintenance of advanced data infrastructure on the Snowflake platform. This role involves collaborating with cross-functional teams, providing technical leadership, and ensuring that the data architecture is scalable, secure, and aligned with business objectives. The ideal candidate will have extensive experience in data engineering, Snowflake optimization, and cloud-based data warehousing solutions.
  • Architect & Design: Lead the design and development of data architectures and scalable solutions on the Snowflake platform to support large-scale data analytics.
  • Leadership & Mentorship: 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, using Snowflake's native features and third-party tools.
  • Extensive Snowflake Experience: Deep expertise with Snowflake features, such as Snowpipe, Streams, Tasks, Materialized Views, Marketplace, and Data Sharing.
  • APIs: Strong expertise in extracting or ingesting data from APIs.
  • Data Quality: Knowledgeable with Data Quality concepts and best practices.
  • Data Warehousing: Strong experience in data modeling, data warehousing concepts (e.g., star/snowflake schemas), and big data technologies.
  • SQL Mastery: Advanced SQL proficiency with a focus on optimization, complex queries, and troubleshooting.
  • Cloud Expertise: Hands-on experience with cloud environments like AWS, GCP, or Azure, particularly in deploying and managing Snowflake clusters.
  • ETL/ELT: Proficiency with ETL/ELT tools such as FiveTran, Matillion, Talend, or Informatica, and hands-on experience with data integration processes.

Roles & Responsibilities
  • Performance Optimization: Optimize Snowflake performance, including tuning of warehouses, queries, and data ingestion processes to ensure speed and efficiency.
  • Data Governance: Establish and enforce data governance, security, and compliance standards, ensuring the highest level of data integrity and privacy.
  • Automation & Orchestration: Implement automation and orchestration for data pipelines, leveraging Azure and Snowflake features.
  • Collaboration: Work closely with data architects, data scientists, and business analysts to align data infrastructure with business needs and analytics requirements.
  • Innovation & Best Practices: Stay updated on the latest Snowflake features and best practices, and introduce new technologies or methodologies to improve the data infrastructure.
  • Cloud Integration: Lead cloud integration efforts, including deployment and maintenance of Snowflake on Azure.
  • Documentation: Create and maintain comprehensive technical documentation for data architecture, pipelines, and processes.
  • Scripting & Automation: Advanced scripting skills (e.g., Python, Bash) for automating data processes and integrating with CI/CD pipelines.Machine Learning:
  • Strong experience creating and tuning machine learning models in Azure and Snowflake.