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Junior Data Engineering Jobs in Arizona (NOW HIRING)

SynergisticIT

Junior Data Analyst

Phoenix, AZ · On-site

Junior Data Analyst SynergisticIT is aware that the job market is challenging because of tech ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

SynergisticIT

Junior Data Scientist

Phoenix, AZ · On-site

Junior Data Scientist SYNERGISTICIT wants every job seeker to be aware that the job market is ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

Syntricate Technologies

Data Engineer /Data tester

Tempe, AZ · On-site

$111.40K - $133.80K/yr

Position- Data Engineer /Data tester (either jr. Data Tester or Jr. Data engineer both will work Azure exp is must to have) Duration-Contract w2 Location- Tempe, AZ JD Minimum Qualifications ...

My3Tech Inc

Junior Data Analysts

Phoenix, AZ · On-site

... engineering experience not necessarily data engineering, not building data pipelines but more so pulling data from large data fields or creating new data fields/data tagging and combine multiple ...

InterSources

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Develop and maintain data engineering solutions using Azure services such as Azure Data Factory ... Provide technical leadership and mentor junior engineers. * Work within Agile and DevOps frameworks ...

MSR Technology Group

Senior Data Engineer

Scottsdale, AZ

$106.80K - $145.10K/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 ...

Amazon

Data Engineer III - AMZ9850191

Tempe, AZ · On-site

$161.30K - $209.10K/yr

Mentor junior data engineers. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three ...

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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 May 28, 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 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 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 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 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:
Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Arizona as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $66,909 per year, or $32.2 per hour.
Junior Data Scientist with Data Engineering Skills

Junior Data Scientist with Data Engineering Skills

SynergisticIT

Tempe, AZ • On-site

$95K - $150K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Junior Data Scientist With Data Engineering Skills

Seeking a motivated Junior Data Scientist with Data Engineering skills to join our tech clients analytics and engineering teams. This is an exciting opportunity for recent graduates or early-career professionals who are passionate about data, machine learning, and building scalable data pipelines. You will work on projects that combine data science, data engineering, and DevOps practices to deliver actionable insights and enterprise-grade solutions for U.S.-based clients.

Responsibilities
  • Collect, clean, and preprocess large datasets for analysis and modeling
  • Build and maintain ETL pipelines and scalable data workflows
  • Develop predictive models and machine learning algorithms
  • Collaborate with DevOps teams to deploy models into production environments
  • Work with cross-functional teams to translate business requirements into technical solutions
  • Optimize data storage and retrieval using SQL/NoSQL databases and cloud platforms
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
  • Strong knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn)
  • Familiarity with data engineering tools such as Spark, Hadoop, or Kafka
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Understanding of DevOps practices for model deployment
  • Excellent problem-solving and communication skills
Additional Skills
  • Experience with deep learning frameworks (TensorFlow, PyTorch)
  • Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
  • Internship or project experience in data science or data engineering
Client Requirements

Our U.S.-based clients typically require:

  • Real-world project experience : Hands-on exposure to enterprise-level data science and engineering projects beyond academic coursework.
  • U.S. work experience : Familiarity with U.S. client expectations, delivery standards, and collaborative team environments.
Don't Have All the Skills Yet?

If you're passionate about becoming a Data Scientist but lack some of the required skills or U.S. project experience, you can explore SynergisticIT's Job Placement Program. This program provides:

  • Hands-on training in Data Science, Data Engineering, Cloud, and DevOps
  • Real-world project simulations to build client-ready experience
  • Interview preparation and career coaching

You can also explore additional resources:

  • SynergisticIT Blog – Career guides, BI best practices, and industry insights
  • SynergisticIT Interview Questions – Sample questions and preparation tips
Explore SynergisticIT's Industry Presence

SynergisticIT actively participates in global tech events, showcasing its strong industry connections:

  • SynergisticIT at Gartner Data and Analytics Summit – Highlights key trends in BI, governance, and analytics adoption.
  • SynergisticIT @ Oracle CloudWorld – Demonstrates SynergisticIT's role in shaping enterprise cloud analytics.
  • Oracle CloudWorld Event – Showcases innovation in BI and data engineering.
  • Oracle CloudWorld Event – Provides continuity of SynergisticIT's presence in global analytics events.
Featured in USA Today

SynergisticIT has been recognized in USA Today for transforming how tech companies source and train talent.

Competitive Edge with SynergisticIT
  • SynergisticIT has built relationships with thousands of tech clients across the U.S., giving candidates a competitive edge over other jobseekers by securing more interviews and better job offers.
  • Candidates completing the program typically receive job offers ranging from $95,000 to $150,000 annually, depending on skills, location, and client requirements.
About SynergisticIT

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Some of the clients where SynergisticIT-trained developers and data scientists have been placed include: Google, Apple, Facebook (Meta), Amazon, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client, PayPal, eBay, Walmart, Telecommunication, and bank. If you're ready to launch your career as a Junior Data Scientist with Data Engineering skills but feel you're missing some skills or experience, SynergisticIT can bridge that gap. With over a decade of proven success, strong client partnerships, and a focus on real-world readiness, SynergisticIT can help you land your first role in tech.

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