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Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform & Pipeline Development * Design, develop, and maintain cloud-native data pipelines using Databricks ...

Tror AI for everyone

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note: Need 12+ years of experience resumes*** Must have: * Strong Experience in Scala, Spark, hive SQL ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity Location: Phoenix, AZ (Onsite/Hybrid) Duration: 12+ Months Experience Required: 5-7+ Years Visa: All Visas Accepted âš¡ Quick Client Feedback ...

TriWest Healthcare

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will cover full systems development life cycle (SDLC) phases including requirements gathering, data ...

Viasat

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling data access for various use cases and supporting the growth of the company.

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Bespoke Labs

Data Engineer

Chandler, AZ

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Mesa, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Chandler, AZ · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Mesa, AZ

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Glendale, AZ

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Glendale, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Arrivia

Fabric Data Engineer

Scottsdale, AZ · Hybrid

$115K - $138K/yr

About the Role arrivia is looking for an experienced Fabric Data Engineer to take ownership of complex data pipeline architectures inside the Microsoft Fabric ecosystem. You will design and optimize ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills * BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Phoenix, AZ

Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Phoenix, AZ? The most popular types of Data Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Data Engineer jobs in Phoenix, AZ? For Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for Data Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Engineer jobs? Cities near Phoenix, AZ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Engineer

Forhyre

Phoenix, AZ

$113K - $136K/yr

Full-time

Re-posted 18 days ago

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal