Arizona

Data Jobs in Arizona

36 jobs found

Include remote jobs

2d ago

Data Analyst

Corning Phoenix, AZ

Phoenix, AZ

2d ago

$65k - $89k/yr Full time Business Analytics Data Analysis Data Analytics

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Job Description

Join Corning onsite in Phoenix, AZ to turn site data into insights that support smarter decisions across manufacturing, warehouse, quality, and business operations. In this role, you will work closely with site leadership, cross-functional teams, and IT to deliver accurate reporting, spotlight performance trends, and help enable continuous improvement.

What you’ll do

Collect, validate, analyze, and report data from manufacturing, warehouse, quality, and business systems to support operational decision-making
Build, maintain, and improve recurring reports, dashboards, scorecards, and KPI tracking for site leadership and functional teams
Run routine and ad hoc analyses to identify trends, issues, and opportunities that support business decisions, root cause investigations, and process improvements
Partner with operations, supply chain, quality, finance, and IT to improve data quality, reporting consistency, and issue resolution across systems
Support the definition of reporting requirements, KPI standards, and documentation to create sustainable, repeatable reporting processes
Participate in projects tied to operational excellence, digital transformation, and reporting enhancements

What you’ll bring

Bachelor’s degree in data Analytics, Business, Supply Chain, Industrial Engineering, Information Systems, or a related field (or an equivalent combination of education and experience)
1–3 years of experience in data analysis, reporting, or business analytics
Advanced proficiency in Microsoft Excel (formulas, pivot tables, charts, data analysis)
Experience with reporting and data visualization tools, such as Power BI, Tableau, SAP reporting tools, or similar tools
Strong analytical and problem-solving skills with a high attention to detail and commitment to data accuracy
Effective written and verbal communication skills
Ability to manage multiple priorities in a fast-paced environment

Tools you’ll use

Microsoft Excel, Power BI, Tableau, SAP reporting tools, SAP, ERP systems, SQL
Microsoft Office, especially Excel and PowerPoint

Benefits

Company-wide bonuses and long-term incentives
Company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay
Medical, Dental, and Vision
Paid parental leave
Family building support
Fitness
Company-paid life insurance
Disability
Disease management programs
Paid time off
Employee Assistance Program (EAP) to support you and your family

Preferred

Experience in manufacturing, warehouse, supply chain, or plant environments
Experience working with SAP, ERP systems, or operational reporting tools
Familiarity with KPI reporting, plant performance metrics, SQL, data querying, or basic data modeling
Exposure to Lean, Six Sigma, or continuous improvement methodologies
Experience supporting cross-functional teams in an industrial or operations setting

Salary range: USD 64,873 - 89,201 per year.

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3d ago

Data Engineer LFI, Data Governance

Software Resources, Inc. Phoenix, AZ

Phoenix, AZ

3d ago

Full time Analytics Business Analytics Business Intelligence

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Job Description

Data Engineer (LFI, Data Governance) (Phoenix, AZ, hybrid) will build reporting solutions and support regulatory data needs while aligning work with data governance and compliance requirements.

Responsibilities

Use SQL to query and analyze data; lead design, build, and maintenance of advanced dashboards and reporting tools for key business performance metrics while maintaining data and reporting standards
Identify and develop automation techniques using available technology to improve efficiency and effectiveness
Conduct deep-dive analysis on large, complex datasets to surface trends, patterns, and anomalies; provide data-based recommendations for operational improvements and strategy
Translate business unit reporting and analytics needs into analytical tasks; present findings and recommendations to senior management and key stakeholders
Design and implement processes that support data accuracy and reliability through validation and quality checks
Collaborate with IT teams to enhance data infrastructure and improve data accessibility
Develop business requirements as needed for LFI Regulatory Reporting, incorporating changes required by FRB regulations for a Category III institution
Problem solve related to requirements, defects, and data validation
Perform UAT (User Acceptance Testing) to ensure accuracy and integrity of data
Lead and support junior staff and the broader team

Requirements

5+ years of experience in Data Analytics & Data Management or a similar field
Bachelor's degree in a related field required
Intermediate to Advanced experience with data analysis tools (e.g., SQL, Excel) and data visualization platforms (e.g., Power BI, Tableau) with the ability to communicate insights clearly and actionably
Experience with project management and managing multiple priorities and deliverables
Intermediate knowledge of general banking operations, including deposit operations, loan administration, treasury management, and/or other commercial banking products and services
Intermediate knowledge of regulatory and legal compliance obligations, rules and regulations, industry standards, and practices
Intermediate speaking and writing communication skills

Regulatory Reporting Context

Work with teams focused on developing, testing, and executing regulatory reporting data for LFI status
Be familiar with Reg YY and related reporting regulations, including FR 2052a, FR Y-14, and FR Y-15
Experience with increasing responsibility in regulatory reporting or other areas at a bank is preferred
Working knowledge of Reg YY and other related regulatory reporting is preferred

Preferred

Experience with predictive modeling, statistical analysis, or machine learning is preferred

Technologies

SQL
Excel
Power BI
Tableau

Benefits

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

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3d ago

Senior Data Engineer

Matlen Silver Chandler, AZ

Chandler, AZ

3d ago

$60 - $65/hr Contract Senior Artificial Intelligence Data Engineer

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Job Description

Senior Data Engineer for an 18-month ongoing enterprise initiative (Project SPARTAN) in Chandler, AZ (hybrid), supporting data foundations for AI and agentic capabilities.

Responsibilities

Implement data management best practices across complex enterprise environments
Develop, govern, and improve structured and unstructured data and knowledge foundations for AI and agentic capabilities
Contribute to establishing and enhancing data foundations with focus on data quality, governance, lineage, metadata, and data modeling
Support ETL, data pipelines, and the preparation of data and knowledge assets for AI consumption
Partner with engineering, architecture, operations, governance teams, and subject matter experts

Requirements

Senior-level experience implementing data management best practices
Strong experience with MySQL and Oracle Database
Hands-on Python experience
Experience with ETL tools, specifically Informatica
Strong SQL Server experience
Experience with Teradata
Strong understanding of data modeling and normalization
Experience developing and implementing data quality controls, validation, and remediation
Experience with data governance, metadata, lineage, ownership, and data freshness
Experience working with both structured and unstructured data
Strong analytical and problem-solving skills
Ability to work cross-functionally with technical and business stakeholders

Technologies

MySQL
Oracle Database
Python
Informatica
SQL Server
Teradata

Desired Skills

Experience with Nateeza
Experience using AI tools
Knowledge of AI-ready data and knowledge management
Experience preparing data for AI, automation, search, or analytics
Understanding of AI grounding, context structuring, and metadata quality
Experience with network technologies or infrastructure environments
Experience creating reusable data standards, templates, controls, and documentation

Project Details

Project: Project SPARTAN
Duration: 18 months
Location: Chandler, AZ
Schedule: Hybrid, 3 days onsite per week
Remote: Not available
Employment: W2 only
Job type: Contract

Compensation

USD 60 - 65 per hour

Benefits

Health, vision, and dental insurance (single and family coverage)
401(k) plan (employee contributions only)

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4d ago

Principal Engineer I - Senior Data Engineer

Software Resources, Inc. Phoenix, AZ

Phoenix, AZ

4d ago

Full time Azure Data Factory Azure Data Lake Azure DevOps

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Job Description

Join a hybrid team to build and modernize an enterprise data platform supporting the Bank Regulatory Reporting Program.

Design, build, and implement critical components of an enterprise data platform aligned to strategic data and analytics needs for the Bank Regulatory Reporting Program
Develop end-to-end data engineering solutions across the full data lifecycle, including efficient technical hygiene and implementation using Azure DevOps for the Bank Regulatory Reporting and LFI strategy/roadmap
Build ETL and data pipeline capabilities covering creation, transformation, storage, archiving, analysis, and sharing across the Bank and partner systems
Write dynamic, parameterized, and reusable PySpark code
Create shared frameworks including helper functions and companion notebook structures
Perform performance tuning and optimization for Spark workloads
Implement Azure DevOps CI/CD pipelines for data solutions in accordance with Bank technical standards
Apply Test Driven Development (TDD) to data solutions designed, built, and implemented
Lead implementation of outcomes, recommendations, and designs from Data Governance and Enterprise Architecture
Conduct data exploration and profiling using tools such as SSAS
Participate in data architecture decisions
Provide technical mentorship to team members and other data professionals
Collaborate with product owners and business stakeholders to understand business requirements and operational processes
Implement quality and compliance by design in all data solutions
Include support for unstructured data and big data methods

Key skills & requirements

5+ years of experience (minimum)
Expert in PySpark (required)
8+ years data engineering experience in ETL concepts and processes, including enterprise data warehouse capabilities and database principles; preferably strong to expert in Azure Data Factory, Azure Synapse Analytics, and/or Databricks
5+ years designing, implementing, and supporting cloud data solutions; Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience strongly preferred
Bachelor’s degree in engineering or related field
Expert RDBMS and query language experience with at least one of: T-SQL, PL/SQL, Spark SQL
Ability to design and build reusable, dynamic PySpark components including companion notebook frameworks, shared helper functions/libraries, and parameter-driven ingestion and transformation patterns
Support and influence migration from Azure Synapse to Microsoft Fabric, including modernization of patterns and frameworks
Expert conceptual, logical, and physical data design
Azure certifications such as Azure Fundamentals, Azure Fabric Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer
Experience using design tools for conceptual architecture diagrams and data flow diagrams such as Visio, Archimate, Lucidchart
Excellent communication skills verbal and written

Tools & technologies

PySpark, Azure DevOps, ETL
Azure Data Factory, Azure Synapse Analytics, Databricks
Azure Data Lake, Azure Data Services, Azure Logic Apps, Microsoft Fabric
SSAS
T-SQL, PL/SQL, Spark SQL
Visio, Archimate, Lucidchart
SAS, Tableau, PowerBI

Location & work schedule

Phoenix, AZ (hybrid)
4 days on site and Fridays remote in Phoenix, AZ or Dallas, TX

Benefits

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Preferred experience

Experience in Agile, SAFe, and/or Scrum
Experience integrating with data quality, data catalog, and data lineage tools
Additional cloud data certifications with major providers (Azure, AWS, GCP)
Banking/financial services or other highly regulated industry experience
Regulatory Reporting experience, including Large Financial Institution requirements

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5d ago

Sr AI Engineer I

American Express Phoenix, AZ

Phoenix, AZ

5d ago

$123k - $215k/yr Full time Senior Agentic Ai Agentic Ai Orchestration

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Job Description

American Express is seeking a Sr AI Engineer I to help design and deliver agentic AI systems and platforms for financial services. This role focuses on building intelligent capabilities that can plan, reason, and act across complex workflows, with an emphasis on security, reliability, and compliance at scale. The position is based in Phoenix, AZ and is onsite.

Working across product, design, and business teams, you will translate real customer and operational needs into agentic experiences that reduce friction, improve decision-making, and support how people interact, transact, and grow. The scope spans autonomous workflows, decision support, and customer-facing systems, all built for environments where trust and explainability matter.

Responsibilities

Collaborate closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and reshape customer interactions.
Design agentic AI systems, including intelligent and adaptive approaches that can plan, reason, and act with an appropriate level of autonomy for complex workflows.
Develop systems that enable autonomous workflows, decision support, and customer-facing experiences, while meeting security, explaination ability, reliability, and compliance standards required in financial services.

Requirements

6+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
A demonstrated track record of shipping AI-powered or agentic systems that real users rely on.
Strong engineering fundamentals spanning backend systems, APIs, data pipelines, and cloud infrastructure.
Hands-on experience with modern LLM tooling and agentic patterns and architectures.
Fluency with AI-assisted and agentic development workflows.
Strong ownership and sound technical judgment.
Comfort working through ambiguity and turning it into shipped, reliable product.
A strong product mindset and customer orientation.
Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems in regulated contexts where customers actively rely on the outputs.
Meaningful open-source contributions, particularly in AI or developer tooling.

Preferred Qualifications

Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.

Compensation: USD 123,000 - 215,250 per year.

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5d ago

Data Analyst LFI, Data Governance

Software Resources, Inc. Phoenix, AZ

Phoenix, AZ

5d ago

Full time Data Analysis Data Analytics Data Governance

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Job Description

Support Large Financial Institution (LFI) status by gathering, analyzing, and reporting key business data for FRB regulatory readiness in a hybrid role based in Phoenix, AZ.

Responsibilities

Develop business requirements to support LFI readiness aligned with FRB regulations for a Category IV institution
Provide input into Technology deliverables to support successful implementation
Execute UAT (User Acceptance Testing) to confirm accuracy and integrity of data
Participate in workshops to resolve requirements, defects, and questions
Apply knowledge of client rules including FR 2052a, FR Y-14, and FR Y-15 to update business requirements as regulations change
Ensure all reports delivered to internal stakeholders are accurate and delivered on time
Update and optimize reporting processes to improve accuracy, efficiency, and relevance as needed
Analyze datasets to identify trends, insights, and opportunities for improvement
Validate data and perform regular data quality checks to maintain accuracy and integrity
Partner across business teams to gather data requirements and understand analytical needs
Maintain documentation for data sourcing processes and methodologies
Build data visualizations to effectively communicate key metrics and insights

Requirements

Degree in Accounting, Finance, Business Administration, Technology, or a related field
5+ years of experience in data analysis or a similar role
2+ years experience with data analysis tools (e.g., SQL, Excel) and data visualization platforms (e.g., Tableau, Power BI), with proficiency working with large datasets
Experience with project management and managing multiple priorities and deliverables
Willingness to learn applicable regulatory regulations with significant effort learning Reg YY (including FR 2052a, FR Y-14, FR Y-15)
Intermediate knowledge of general banking operations, including deposit operations, loan administration, treasury management, and/or other commercial banking products and services
Intermediate knowledge of regulatory and legal compliance obligations, rules and regulations, and relevant industry standards and practices
Ability to collaborate effectively in a team environment
Strong analytical skills and attention to detail
Intermediate to advanced written and verbal communication skills

Tools & Technologies

SQL
Excel
Tableau
Power BI

Benefits

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Job summary: Join a Business Data Governance team preparing for LFI status by gathering, analyzing, and reporting key business data. Develop subject matter expertise in Reg YY through significant learning time, apply regulatory knowledge (including FR 2052a, FR Y-14, FR Y-15), and collaborate with teams developing, testing, and executing data for LFI readiness.

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7d ago

Data Engineer

CVS Health Phoenix, AZ

Phoenix, AZ

7d ago

$65k - $173k/yr Full time Big Data Data Data Analysis

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Job Description

The Data Engineer role at CVS Health focuses on building and delivering modern data solutions that support payer file processing into the Data Warehouse. The position includes on-premise development and integration work, along with support for cloud migration efforts.

Key Responsibilities

Collaborate with engineering, analysts, data scientists, and product teams to deliver high-quality modern data solutions in a fast-paced, agile environment.
Design, integrate, and implement data solutions on-premise, and support migrations of existing workloads to the cloud.
Process payer files into the Data Warehouse.

Required Qualifications

4+ years of experience working with SQL and relational database management systems.
2+ years of experience with Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake, and similar technologies.
2+ years of experience with on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata, and similar systems.
Programming and modifying code using SQL, Python, and PySpark to support cloud-based and on-prem data warehousing services.
Hands-on experience with dimensional data modeling, schema design, and data warehousing.
Hands-on experience troubleshooting data issues.
Hands-on experience using performance improvement techniques.
Willingness to identify and implement process improvements and best practices, with the ability to take ownership in a fast-paced, collaborative, team-based support environment.
Excellent oral and written communication skills.

Technologies

SQL
Python
PySpark
AWS
GCP
Azure
Databricks
Snowflake
Microsoft SQL Server
Oracle
Teradata

Preferred Qualifications

Familiarity with healthcare data and healthcare insurance feeds.

Education

Bachelor's degree in Computer Science / Engineering.

Work Setup and Schedule

Location: Phoenix, AZ (onsite)
Employment type: Full time
Anticipated weekly hours: 40

Compensation

Pay range: USD 64,890 - 173,040 per yearly
Typical pay range stated: $64,890.00 - $173,040.00
This position is eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range listed above.