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Data Engineer Jobs in Florence, AZ (NOW HIRING)

Data Engineer

Mesa, AZ · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing ...

New

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 ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Sr. Data Engineer

Chandler, AZ · Remote

$117K - $140K/yr

Strong Python and SQL programming Experience with Data warehousing techniques(Star Schema, Snowflaking, Normalization, Denormalization, Aggregations) Working experience in Health Care domain ...

Senior Data Engineer

Mesa, AZ · Remote

$105K - $142K/yr

Amphenol Industrial Operations is seeking a highly skilled and motivated Senior Data Engineer to lead the design, development, and optimization of enterprise data solutions that support manufacturing ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

RIT Solutions, Inc. is seeking an AWS Data Engineer for a contract position. The role involves utilizing AWS services and data engineering skills to manage and process data effectively.

RIT Solutions, Inc. is seeking an AWS Data Engineer to join their team in Chandler, AZ. The role involves working with AWS services, data warehousing, and ETL tools to manage and process data ...

We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

... Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

Data Architect

Chandler, AZ

$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 ...

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of support in data Analytics General Description Experience with Data Lake, data warehouse ETL ...

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Data Engineer information

See Florence, AZ salary details

$41.6K

$121.4K

$166.1K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Florence, AZ is $121,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $128,600.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

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.

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

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

Infographic showing various Data Engineer job openings in Florence, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,362 per year, or $58.3 per hour.

$65K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants


Job description

Position Overview
We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization.
Key Responsibilities
• Design, develop, and optimize data pipelines using Python, Spark, and SQL.
• Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources.
• Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Develop and maintain data models, data dictionaries, and technical documentation.
• Monitor, troubleshoot, and optimize data workflows for performance and scalability.
• Ensure compliance with data governance, security, and privacy policies.
• Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP).
• Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure.
• Knowledge of any of the cloud platforms (AWS, Azure, GCP).
• Understanding of data security, encryption, and compliance best practices.
Required Skills & Qualifications
• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field
• Good programming skills in Python and SQL
• Good problem-solving, analytical, and communication skills
• Ability to work collaboratively in a fast-paced environment
• Familiarity with data orchestration tools (e.g., Airflow, Prefect)
• Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.)
• Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub)
• Familiarity with data visualization tools
• Basic understanding of ETL/ELT concepts, data modeling, and data architecture
Location
New hires will be hired at the Cognizant office in Plano, TX or Teaneck, NJ, where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment.
Start Date
New hires will start in August 2026. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.
Salary and Other Compensation:
The annual salary for this position is $65,000 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.
Why Choose Us?
Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.
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 hourly rate, 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.
Work Authorization
Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role.
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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