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Data Engineer Project Jobs in Arizona (NOW HIRING)

Forhyre

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Apply automation and innovation on new and on-going data platforms for those development projects ... Skilled in Python object-oriented programming * Skilled in AWS Compute such as EC2, Lambda ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity Location: Phoenix, AZ (Onsite/Hybrid ... project/client details We are accepting submissions only from candidates with prior American ...

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 ... Should have worked on large scale ETL and DW projects and pipelines. * Real time data streaming ...

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 ... project managers on reporting needs. • Collaborates with data architect to create conceptual ...

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 ... projects simultaneously in a fast-paced multifaceted agile work environment. • BS or equivalent ...

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Reliable teammate with the ability to handle different projects simultaneously in a fast-paced ...

Disney Experiences

Lead Data Engineer

Goodyear, AZ · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

New

Disney Experiences

Lead Data Engineer

Phoenix, AZ · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

New

Disney Experiences

Lead Data Engineer

Chandler, AZ · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

New

Disney Experiences

Lead Data Engineer

Tucson, AZ · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

New

Disney Experiences

Lead Data Engineer

Mesa, AZ · On-site

$148K - $198K/yr

Help scope, estimate, and plan large, complex projects, including budget. * Track emerging ... Strong data engineering skills in Python and SQL, with scripting experience for data extraction ...

New

Syntricate Technologies

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Syntricate Technologies is seeking a Big Data Engineer to join their team. The role involves ... project management services. Founded in 2004, the company is headquartered in Boston, USA, with a ...

Deloitte

Data Engineer II

Tempe, AZ · On-site

$109K - $131K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite ...

Pwc

Data Engineer - Senior Manager

Phoenix, AZ

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Perficientcorp Inc

Python Data Engineer

Phoenix, AZ · On-site

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP ...

HonorHealth

Data Engineer II (ICP)

Scottsdale, AZ · On-site

$115K - $138K/yr

Data Engineer II works closely with the business and translates the requirements into technical ... project management documentation as required. * Available for occasional off-hours emergencies ...

Honorhealth

Data Engineer II (ICP)

Scottsdale, AZ · Hybrid

$115K - $138K/yr

Data Engineer II works closely with the business and translates the requirements into technical ... project management documentation as required. * Available for occasional off-hours emergencies ...

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Showing results 1-20

All JobsData Engineer Project JobsData Engineer Project Jobs in Arizona

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

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 strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high 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. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Arizona?

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

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

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

What cities in Arizona are hiring for Data Engineer Project jobs?

Cities in Arizona with the most Data Engineer Project job openings:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Data Engineer (Snowflake)

Data Ideology, LLC

Snowflake, AZ • On-site

$100 - $140/hr

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New

Job description

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.

For more information about Data Ideology, visit www.dataideology.com.

Sr. Data Engineer - (Snowflake)

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client‑facing, consultative role that blends solution design with hands‑on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.

This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high‑quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.

Responsibilities
  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands‑on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client‑facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.

Data Ideology is an EEO Employer

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