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Contract Data Engineering Jobs in Arizona (NOW HIRING)

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 ⚡ Quick Client Feedback ...

Talent Groups

Data Architect

Tempe, AZ · On-site

$62 - $79.75/hr

Charlotte, NC (28217) or Tempe, AZ (85284) | Hybrid Employment Type: 6+ Month W2 Contract to Hire ... You will partner with teams across data engineering, governance, analytics, and business operations ...

Citizens

Principal Data Engineer - FLINK

Phoenix, AZ · On-site

Govern and evolve event schemas and contracts to support enterprise-wide interoperability and data consistency. * Guide engineering teams on best practices for distributed streaming systems ...

Kforce Technology Staffing

Data Engineer

Chandler, AZ · On-site

$116K - $140K/yr

Partner with engineering and business stakeholders to translate requirements into scalable data ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using Dataflow (Apache Beam) * Build real-time data pipelines using Pub/Sub * Develop cross-project data ...

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Axon

Sr Data Analyst I (Onsite)

Scottsdale, AZ

$86K - $109K/yr

Partner with Corporate Data Engineering, Enterprise IT Architecture, automation developers, and ... contracts aligned to Axon's medallion architecture. * Manage the full development lifecycle for ...

Concord IT Systems

AWS Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

Scottsdale, AZ (Onsite) Contract duration (in months): 12 Job Details: * AWS Cloud Watch, Kinesis, RedShift, S3, * Dynamo DB, IAM, RDS SQL Server * Python, Hadoop, Scala Nice to have skills * Java ...

TekWissen LLC

Software Engineering Lead

Glendale, AZ · On-site

$93/hr

Contract Work Type: Temporary Assignment Description: Summary: We are seeking an experienced and highly skilled Software Engineering Lead to spearhead our data initiatives, with a primary focus on ...

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Axon

Sr Data Analyst I (Onsite)

Scottsdale, AZ · On-site

$86K - $109K/yr

Partner with Corporate Data Engineering, Enterprise IT Architecture, automation developers, and ... contracts aligned to Axon's medallion architecture. * Manage the full development lifecycle for ...

Motion Recruitment

Database Engineer 4

Chandler, AZ · On-site

Contract Duration: 6 Months Required Skills & Experience * 5+ years of Database Engineering ... Hands-on experience with GCP or other cloud platforms (AWS/Azure) * 3+ years of data warehouse ...

Motion Recruitment

Database Engineer 4

Chandler, AZ · On-site

Contract Duration: 6 Months Required Skills & Experience * 5+ years of Database Engineering ... Hands-on experience with GCP or other cloud platforms (AWS/Azure) * 3+ years of data warehouse ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Contract * Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine ... Data Engineering ETL processes data wrangling and feature engineering * Insurance Reinsurance ...

Apply Early

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All JobsContract Data Engineering JobsContract Data Engineering Jobs in Arizona

Contract Data Engineering information

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. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making the role essential across many industries.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, contract positions, or working in competitive industries like finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and often working in high-cost-of-living areas or on high-stakes projects.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Can a data engineer make 200k?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries of $200,000 or more. Compensation varies based on location, industry, and company size, with some roles offering bonuses and stock options that contribute to total earnings.

What are the key skills and qualifications needed to thrive as a Contract Data Engineer, and why are they important?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High compensation is often associated with working in large organizations, in-demand industries, or holding leadership roles such as lead or principal data engineer.
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 Contract Data Engineering jobs in Arizona? For Contract Data Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Arizona look for? The top searched job categories for Contract Data Engineering jobs in Arizona are:
What cities in Arizona are hiring for Contract Data Engineering jobs? Cities in Arizona with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Arizona as of June 2026, with employment types broken down into 70% Full Time, 18% Part Time, and 12% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

GCP Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

$113K - $136K/yr

Contractor

Posted 14 days ago

Job description

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity
Location: Phoenix, AZ (Onsite/Hybrid)
Duration: 12+ Months
Experience Required: 5–7+ Years
Visa: All Visas Accepted 
⚡ Quick Client Feedback | Interview Guaranteed for Qualified Candidates
We are actively seeking experienced GCP Data Engineers for a long-term contract opportunity with a leading client.
Required Skills:
✅ Google Cloud Platform (GCP)
GCS
DataProc
BigQuery
Composer / Airflow
✅ Strong experience with:
PySpark & Spark
Python
Hadoop Ecosystem
SQL
Data Engineering & ETL Development
DataFrame-based Processing
Large-Scale Data Processing
Enterprise Big Data Platforms
Agile Methodologies
Nice-to-Have Skills:
➕ Spanner DB
➕ Graph Databases
➕ Scala
➕ Hive
➕ Pig
➕ MapReduce
⭐ Mandatory Requirement:
✔ Ex-American Express (Amex) Candidates Only
✔ Must provide complete Amex project/client details
We are accepting submissions only from candidates with prior American Express experience.