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Entry Level Azure Data Engineer Jobs in Arizona (NOW HIRING)

Data Modeler

Globe, AZ · On-site

$52 - $67.50/hr

Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related ... Familiarity in modern cloud data platforms (e.g., AWS, Azure, or GCP) and related Big Data ...

Expected to work from office for 3 days a week DataStage and DB2 strong experience in architecture, design, and implementation of data solutions in Azure and/or other cloud platforms Good to have ...

Experience with cloud platforms (Azure / AWS) * Solid understanding of data modeling and working ... Experience building engineering tools, diagnostic interfaces, or HMIs (e.g., Python frameworks ...

Site Reliability Engineer III Location: Chandler, AZ Duration: Contract - 11 months Pay Range: $70 ... Strong Azure data services experience, including Data Factory, Synapse, Fabric, SQL, ADLS, and ...

Power BI Developer

Phoenix, AZ · On-site

$40 - $60/hr

Position Overview MetroSys is seeking a versatile Power BI Developer to support data visualization ... Work with Azure-based data services to support reporting and data pipeline needs. * Collaborate ...

AWS & Azure Devops Engineer

Chandler, AZ · On-site

$53.75 - $73.75/hr

Our consulting capabilities include expertise in Cloud, Artificial Intelligence, Data Analytics and ... AWS & Azure Devops Engineer Location: Chandler, AZ (Onsite) Type: Full-time Must Have Technical ...

Power BI Developer

Phoenix, AZ · On-site

$40 - $60/hr

Position Overview MetroSys is seeking a versatile Power BI Developer to support data visualization ... Work with Azure-based data services to support reporting and data pipeline needs. * Collaborate ...

Azure DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Azure DevOps Engineer Location: Phoenix, AZ (Day one Onsite) Hire Type: Contract Working knowledge ... Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services etc. We make reasonable ...

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Cloud Platforms Azure or AWS especially for data pipelines and model deployment * Data Engineering ETL processes data wrangling and feature engineering * Insurance Reinsurance Domain Knowledge ...

Integration Developer

Phoenix, AZ · On-site +1

$75K - $100K/yr

Remote A Day in the Life The Integration Developer designs and implements integration solutions ... Workato, Azure Data Factory, Boomi) * Meets with project leadership & interprets conceptual ideas ...

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Entry Level Azure Data Engineer information

What is an Entry Level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

Can I get a data engineer job with no experience?

Entry-level Azure Data Engineer positions typically require some knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills through online courses, certifications like Microsoft Certified: Azure Data Engineer Associate, and hands-on practice can improve chances of securing an entry-level role. Practical experience, such as internships or personal projects, also enhances employability in this field.

What is the salary of Azure data engineer entry level?

An entry-level Azure Data Engineer typically earns between $60,000 and $85,000 annually, depending on location, company size, and specific skills such as proficiency with Azure Data Factory, SQL, and cloud certifications. Salaries may increase with experience and additional certifications in cloud technologies.

Is Azure data engineer discontinued?

Azure Data Engineer is a current and in-demand role focused on designing and implementing data solutions using Microsoft Azure tools like Azure Data Factory, Azure Data Lake, and Azure SQL. Microsoft continues to invest in Azure data services, and the role remains relevant for professionals with skills in cloud data management and analytics.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

What are the key skills and qualifications needed to thrive as an Entry Level Azure Data Engineer, and why are they important?

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.

What engineer makes $500,000 a year?

While most entry-level Azure Data Engineers earn significantly less, senior data engineers with extensive experience, advanced skills in cloud platforms, and specialized certifications can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or large organizations. Such roles often require years of experience, expertise in data architecture, and proficiency with tools like Azure Data Factory, Databricks, and SQL.
What are the most commonly searched types of Azure Data Engineer jobs in Arizona? The most popular types of Azure Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Azure Data Engineer jobs? Cities in Arizona with the most Entry Level Azure Data Engineer job openings:
Infographic showing various Entry Level Azure Data Engineer job openings in Arizona as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer / ETL Engineer - AGS 0527 SS#

NavitasPartners

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

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


Job description

Job Title: Data Engineer / ETL Engineer
Location: Multiple locations across United States
Job Type: Full-Time / Contract
Note: We are looking for candidates who are eligible for Top Secret Clearance
Position Overview
We are seeking a skilled Data Engineer / ETL Engineer to design and build robust data pipelines supporting large-scale, data-intensive environments. This role focuses on ingesting, transforming, and managing diverse datasets including telemetry, sensor feeds, maintenance systems, and logistics data.
The ideal candidate will play a critical role in ensuring data quality, accessibility, and scalability for downstream analytics and operational decision-making.
Key Responsibilities
  • Design and develop data ingestion pipelines for multiple data sources, including:
    • Telemetry data
    • Sensor feeds
    • Maintenance and operational systems
    • Logistics and supply chain data
  • Build and maintain ETL/ELT workflows for structured and unstructured data
  • Normalize, cleanse, and validate large datasets to ensure data integrity
  • Integrate data from various APIs and external systems
  • Optimize data pipelines for performance, scalability, and reliability
  • Work with data lakes and distributed data platforms
  • Collaborate with data scientists, analysts, and engineering teams
  • Implement best practices for data governance and security

Required Skills & Experience
  • Strong experience with Apache Spark for large-scale data processing
  • Hands-on experience with Apache Kafka or similar streaming platforms
  • Proficiency in SQL and NoSQL databases
  • Experience designing and working with data lakes
  • Experience with API integration and data ingestion frameworks
  • Strong understanding of ETL/ELT processes and data modelling
  • Ability to work with both structured and unstructured data

Preferred / Nice-to-Have
  • Experience with real-time data processing and streaming architectures
  • Exposure to sensor or telemetry data environments
  • Knowledge of cloud-based data platforms (AWS, Azure, GCP)
  • Familiarity with data governance, security, and compliance practices
  • Experience in aerospace, defence, or other regulated industries

Work Environment
  • Collaborative, cross-functional data and engineering teams
  • High-impact, data-driven programs
  • Opportunity to work with modern data architectures and large-scale systems

Summary
This role is ideal for a data-focused engineer passionate about building scalable data pipelines and enabling advanced analytics. You will be instrumental in transforming raw data into reliable, high-quality datasets that power critical insights and operations.
For more details reach at shubham.sharma@navitassols.com.