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Data Engineer Contract Jobs in Gilbert, AZ (NOW HIRING)

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... This is a Contract position based out of Phoenix, AZ. Pay and Benefits The pay range for this ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... This is a Contract position based out of Phoenix, AZ. Pay and Benefits The pay range for this ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Contingent / Contract Experience Level: Mid-Senior (5+ Years) About the Role As a Data Engineer, you will design, develop, and optimize scalable data platforms and streaming solutions that support ...

Judge Group, Inc.

Software Engineer

Chandler, AZ · On-site

$64 - $69/hr

Contract / Contingent Worker About the Role We are seeking an experienced Software Engineer to ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

The Intersect Group

Staff Cloud Engineer

Scottsdale, AZ · On-site

$90 - $95/hr

Contract Length: 12 months (strong conversion potential) * Compensation: $90-$95/hour * Work ... and data protection Build Internal Platforms & Tooling * Lead Infrastructure as Code (IaC ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

3B Staffing LLC

Senior Data Scientist

Phoenix, AZ · On-site +1

Senior Data Scientist Hybrid role in Phoenix, AZ (local) One year contract work location is Phoenix ... Role Requirements: * 8+ years of experience in data science, data engineering, with a proven track ...

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Showing results 41-60

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Gilbert, AZ

Data Engineer Contract information

See Gilbert, AZ salary details

$44.4K

$129.3K

$176.9K

How much do data engineer contract jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer contract in Gilbert, AZ is $129,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Gilbert, AZ?

The most popular types of Data Engineer jobs in Gilbert, AZ are:

What are popular job titles related to Data Engineer Contract jobs in Gilbert, AZ?

For Data Engineer Contract jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Data Engineer Contract jobs in Gilbert, AZ look for?

The top searched job categories for Data Engineer Contract jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Data Engineer Contract jobs?

Cities near Gilbert, AZ with the most Data Engineer Contract job openings:

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,302 per year, or $62.2 per hour.

Sr. Data Engineer - Snowflake and Lakehouse

Cognizant Technology Solutions

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

About the role
As a Senior Data Engineer - Snowflake and Lakehouse, you will make an impact by designing, building, and optimizing scalable data solutions that power analytics, reporting, and data-driven decision-making across the enterprise. You will be a valued member of the data engineering team and work collaboratively with client technology leads, analytics teams, data scientists, and platform engineers to deliver modern Lakehouse capabilities using Snowflake and the modern data stack.
In this role, you will:
  • Design and build scalable batch and near real-time data ingestion pipelines using Snowpipe and Snowpipe Streaming.
  • Develop and maintain robust data transformation frameworks and curated data models using dbt and industry best practices.
  • Build and optimize data processing solutions using Snowpark (Python and Spark) to support advanced transformations and machine learning use cases.
  • Implement and manage Dynamic Tables, Snowflake Tasks, and workflow orchestration to automate and streamline data operations.
  • Design and maintain Apache Iceberg-based Lakehouse architectures that enable open, interoperable, and high-performing data platforms.
  • Integrate Kafka event streams and CDC data sources into Snowflake to support scalable real-time analytics.
  • Monitor data platform health, optimize warehouse utilization, and implement cost and performance controls.
  • Establish data quality standards, schema validation processes, testing frameworks, and operational best practices.
  • Partner with cross-functional stakeholders to define data contracts, governance standards, and Lakehouse architecture guidelines.
  • Create and maintain technical documentation, architecture diagrams, data lineage artifacts, and operational runbooks.

Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role's business requirements, this is an onsite position requiring 5 days per week in a client office in either Phoenix, Arizona or Johnston, Rhode Island.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • Minimum 5 years of hands-on experience delivering data engineering solutions with Snowflake in enterprise environments.
  • Strong experience with Snowflake platform capabilities including virtual warehouses, security roles, tasks, performance tuning, and operational management.
  • Proven experience implementing batch and real-time ingestion solutions using Snowpipe and Snowpipe Streaming.
  • Hands-on experience with dbt for data transformations, testing, documentation, and version-controlled development practices.
  • Strong experience with Snowpark using Python and Spark for scalable data processing and transformation workloads.
  • Experience integrating Kafka event streams and/or Change Data Capture (CDC) pipelines with Snowflake.
  • Hands-on experience with AWS services such as S3, IAM, Glue, and Lambda supporting cloud-based data platforms.
  • Advanced SQL skills and strong understanding of data modeling, dimensional design, and Lakehouse architecture principles.
  • Experience with Dynamic Tables, workflow orchestration, and automated pipeline management.
  • Experience using Git-based source control and CI/CD practices for data engineering solutions.
  • Strong understanding of data governance, security, access controls, and cost optimization within Snowflake environments.

These will help you stand out
  • Experience developing large-scale processing solutions using Java Spark.
  • Familiarity with Interactive Tables or low-latency data serving frameworks within Snowflake.
  • Experience with workflow orchestration platforms such as Apache Airflow.
  • Experience leading or supporting migrations from traditional data warehouse environments to modern Lakehouse architectures.
  • Snowflake certifications such as SnowPro Core or SnowPro Advanced.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 13, 2025
The annual salary for this position is between $ 100,000 - $ 115,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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