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Data Engineering Jobs in Arizona (NOW HIRING)

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong experience in database architecture, database engineering, or database administration * Deep understanding of relational database concepts - SQL, data modeling, normalization, indexing ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and similar tools ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and similar tools ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience) * 6+ years of experience working as a big data engineer (Required ...

Citizens

Principal Data Engineer - Neo4J

Phoenix, AZ · On-site

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer ...

Citizens

Principal Data Engineer - Neo4J

Phoenix, AZ · On-site

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

VRN Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

· 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on experience with Snowflake for cloud data warehousing. · Strong experience with dbt (Data Build Tool ...

IVID TEK INC

GCP Data Engineer

Phoenix, AZ · On-site

$55/hr

Core Cloud Stack: 6 to 9 years of hands-on experience in data engineering, with strong expertise in core GCP services: BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS. * Languages & Frameworks:

InfiCare

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

You will also provide technical leadership to a small offshore engineering team. Key Responsibilities * Design and develop data pipelines using Google Cloud Platform services including Dataflow ...

IntraEdge

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing ...

S R International, Inc.

Salesforce Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong Salesforce integration and data engineering experience * Experience with data mapping, transformation, ETL, and data modeling * Experience with REST/SOAP APIs * Experience with SQL databases ...

Citizens

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

This role requires a strong foundation in modern data engineering practices across cloud platforms, distributed data systems, data integration, and data modeling. Experience with graph database ...

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Showing results 41-60

All JobsData Engineering JobsData Engineering Jobs in Arizona

Data Engineering information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data engineering jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data engineering in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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 Data Engineering jobs in Arizona?

For Data Engineering jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Arizona look for?

The top searched job categories for Data Engineering jobs in Arizona are:

What cities in Arizona are hiring for Data Engineering jobs?

Cities in Arizona with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Data Engineer

Phoenix, AZ • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

$113K - $136K/yr

Full-time

Re-posted 11 days ago

Job description

Job Title: Data Engineer
Location: Phoenix, AZ (Day 1 Onsite)
Job Type: Contract - Long Term
Experience: 5+ years
Job Overview
Our client is seeking an experienced Data Engineer with deep expertise in database architecture, cloud technologies, and data engineering. The ideal candidate will have hands-on experience building scalable data pipelines and data platforms, strong SQL and data modeling skills, Python proficiency, and exposure to AI/ML and Generative AI technologies. This role collaborates closely with application architects, cloud engineers, data scientists, and development teams to deliver reliable, secure, and high-performance data solutions.
Key Responsibilities
  • Design and define enterprise-level database architectures, standards, patterns, and best practices
  • Evaluate and select relational, NoSQL, and cloud-native database technologies based on business requirements
  • Design scalable solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
  • Optimize database performance through query tuning, indexing, partitioning, and capacity planning
  • Establish database security standards including encryption, access controls, auditing, and compliance
  • Use Python for scripting, automation, data processing, and validation tasks
  • Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG patterns
  • Create and maintain architecture diagrams, technical documentation, and design decisions
  • Provide technical leadership, architecture reviews, and mentoring to engineering teams
Required Skills
  • Strong experience in database architecture, database engineering, or database administration
  • Deep understanding of relational database concepts - SQL, data modeling, normalization, indexing, transactions, performance optimization
  • Experience with PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent platforms
  • Hands-on experience with AWS, Azure, or GCP managed database services
  • Basic to intermediate Python skills for scripting, automation, and data processing
  • Experience designing or supporting database migration and modernization initiatives
  • Understanding of cloud architecture - scalability, high availability, security, monitoring, and disaster recovery
Preferred Skills
  • Familiarity with AI/ML and Generative AI - vector databases, embeddings, semantic search, LLMs, and RAG
  • Experience with Infrastructure as Code and DevOps/CI/CD practices
  • Knowledge of database observability, monitoring, and automated operations
  • Experience with data governance, security, privacy, and regulatory requirements
  • Exposure to AI/ML platforms and cloud-based AI services
  • Experience supporting large-scale, high-volume, highly available enterprise systems
Location & Work Model
Phoenix, AZ - Day 1 Onsite required.
Engagement Details
Long-term contract engagement. To apply, please share your updated resume along with your availability and location details.

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