Phoenix, AZ

Data Jobs in Phoenix, AZ

20 jobs found

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Today

Sr AI Engineer II - Enterprise Architecture

American Express Phoenix, AZ

Phoenix, AZ

Today

$123k - $215k/yr Full time Backend Developer Senior Artificial Intelligence

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Job Description

American Express Technology is seeking a Senior AI Engineer II to help build production-grade agentic AI systems that work with real financial data and support real customers. This role emphasizes end-to-end ownership, from shaping solutions with partners to delivering reliable capabilities in a regulated environment.

Responsibilities

Convert complex and ambiguous problem spaces into production-grade agentic systems that operate on real financial data, support real customers, and satisfy regulatory requirements.
Own delivery end to end, partnering with product and design to shape solutions, building and shipping production code, and maintaining accountability for what is released.
Build customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that help other engineers adopt AI safely and efficiently.
Work autonomously with sound judgment, pushing the technical envelope while operating within the constraints of a regulated financial setting.

Requirements

5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
Demonstrated history of shipping AI-powered or agentic systems that real users rely on.
Strong engineering fundamentals across 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 sense of ownership and sound technical judgment.
Comfort operating with ambiguity and turning it into shipped, reliable product outcomes.
Product mindset with a customer orientation.

Preferred Qualifications

Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in a high-growth environment.
Proven ability to ship technically complex systems in regulated contexts that customers actively depend on.
Meaningful open-source contributions, particularly in AI or developer tooling.
Depending on business unit requirements, position nature, cost, and applicable laws, American Express may provide visa sponsorship for certain positions.

Role Details

Location: Phoenix, AZ (onsite)
Experience: 5+ years
Compensation: USD 123,000 - 215,250 per year

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19d ago

Data Analyst

Impetus Technologies Phoenix, AZ

Phoenix, AZ

19d ago

Full time Big Data Business Analytics Business Intelligence

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Job Description

Impetus Technologies is hiring a Data Analyst in Phoenix, AZ to turn complex data into actionable business insights. This onsite role focuses on analysis of large datasets, dashboarding and reporting, SQL and Google Cloud work, and supporting predictive modeling and planning or forecasting activities.

Key Responsibilities

Analyze large and complex datasets to uncover trends, patterns, opportunities, and business insights.
Build and maintain analytical reports, dashboards, and visualizations using Power BI.
Write efficient and complex SQL queries to extract, transform, and analyze data using BigQuery / Google Cloud.
Use Excel for data analysis, reporting, modeling, and ad-hoc business analysis.
Develop and maintain predictive data models to support business decision-making.
Conduct data validation, cleansing, reconciliation, and quality checks to ensure accuracy and consistency.
Support planning and forecasting through quantitative analysis and historical trend evaluation.
Translate business requirements into analytical solutions and meaningful metrics.
Present analytical findings and recommendations clearly and concisely to stakeholders.
Automate recurring analytical processes using Python where appropriate.
Collaborate with business, technology, and data teams to improve data availability, reporting, and analytical capabilities.
Identify process improvement opportunities driven by data-driven insights and automation.

Required Qualifications

Excel proficiency, including advanced formulas, pivot tables, data analysis, and reporting.
SQL skills, including experience querying data in BigQuery / Google Cloud.
Python proficiency for data analysis and automation.
Hands-on experience with Power BI and dashboard development.
Understanding of predictive data modeling and statistical analysis.
Experience with planning and forecasting methodologies.
Strong analytical and problem-solving skills.
Ability to communicate complex data insights to both technical and non-technical audiences.
Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field.
Experience working with cloud-based data platforms, particularly Google Cloud Platform.
Experience building forecasting models and business performance metrics.
Experience working with large datasets and developing automated reporting solutions.
Knowledge of data visualization and business intelligence best practices.

Technology Stack

Excel
SQL
BigQuery
Google Cloud
Python
Power BI

Role Details

Location: Phoenix, AZ, USA (onsite)
Minimum experience: 4 years
Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field

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21d ago

AI Engineer

Realign LLC Phoenix, AZ

Phoenix, AZ

21d ago

$165k+/yr Full time Agentic Ai Agentic Ai Orchestration Ai Agent

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Job Description

Realign LLC is hiring an AI Engineer to design, develop, deploy, and optimize scalable machine learning and generative or agentic AI solutions.

Responsibilities

Design, develop, and deploy scalable AI and Machine Learning solutions to address complex business problems
Build and optimize end-to-end machine learning pipelines, covering data ingestion to model deployment and monitoring
Develop advanced Generative AI applications using LLMs, RAG architectures, and AI agents
Design and implement Agentic AI frameworks using LangGraph, LangChain, and related technologies
Build and deploy multimodal AI solutions integrating text, image, audio, and video capabilities
Collaborate with cross-functional teams (Product Managers, business stakeholders, Data Engineers, Architects) to define AI strategies and roadmaps
Evaluate emerging AI technologies and recommend options to improve business outcomes
Ensure AI systems align with performance, scalability, security, and governance requirements
Provide technical leadership, mentor junior engineers, and promote AI engineering best practices
Communicate technical concepts, project progress, and solution impact to stakeholders and leadership

Requirements

Experience: 8+ years
Experience designing, building, and optimizing machine learning pipelines
Core Python fundamentals: OOP concepts, Functions and Modules, Iterators and Generators, Exception handling, Decorators, Typing and Data classes, Data Structures and Algorithms, Design Patterns
Machine learning tools: NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib
Generative and agentic AI: LangChain, LangGraph, LlamaIndex, FAISS, Pinecone, OpenAI APIs, Anthropic APIs, Gemini APIs, LangGraph Agents
Required skills: DevOps Engineer

Tech Stack

Python
NumPy, Pandas
Scikit-learn, XGBoost, LightGBM
PyTorch, TensorFlow
MLflow, Matplotlib
LangChain, LangGraph, LlamaIndex
FAISS, Pinecone
OpenAI APIs, Anthropic APIs, Gemini APIs

Job Details

Location: Phoenix, AZ (hybrid)
Additional work arrangement listed: Sunrise, FL / Phoenix, Az (Onsite)
Salary: USD 165,000 per year
Job type: Full Time
Job category: IT

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26d ago

Senior Data Analytics Engineer

ASSA ABLOY Phoenix, AZ

Phoenix, AZ

26d ago

Full time Senior Analysis Services Azure Data Factory

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Job Description

ASSA ABLOY is hiring a Senior Data Analytics Engineer to build and operate governed analytics foundations that help Sales and Finance make better decisions on revenue drivers. This role expands quickly in scope: within the first year, you will extend certified datasets, standardized metrics, and a shared semantic layer to supply chain, manufacturing, and quality analytics in an AI-enabled environment, governed under the Group Responsible AI Policy.

What you’ll deliver

Partner with Sales and Finance to create a differentiated sales analytics product focused on revenue drivers such as pricing/discounting, mix, customer or segment performance, and channel.
Produce executive-ready insight narratives and repeatable decision frameworks, including driver trees, leading indicators, and KPI hierarchies.
Integrate and reconcile data beyond ERP by bringing in sources such as customer POS feeds, CRM, external or industry signals, customer master enrichment, and spreadsheets into governed analytical datasets.
As the foundation matures, extend the same certified-dataset and semantic-layer approach to additional functional domains in a sequence and priority plan developed with IT and business leadership.
Own domain analytics coverage across:
- Supply Chain: inventory, fulfillment, and demand-planning analytics sourced from JDE and related systems.
- Manufacturing: production throughput, downtime, and cost or efficiency analytics.
- Quality: defect and scrap trends, supplier quality performance, and corrective-action tracking using primarily SQL Server-based operational data plus other systems.

How the analytics ecosystem will work

Design and own curated analytics datasets and reusable dimensional models that support a single source of truth across functional domains.
Establish and enforce consistent KPI definitions using a metrics and semantic layer approach, so metrics are defined once and reused everywhere.
Implement testing, documentation, and data-quality practices to support stakeholder trust and adoption.
Reduce ad-hoc reporting by delivering certified datasets, reusable templates, and clear consumption patterns that enable business self-service safely.
Provide training and enablement through office hours, best-practice templates, and “how to use” documentation, supported by analytics community rituals.
Contribute to an Analytics COE operating model centered on standards, adoption, and scalable enablement rather than report-factory or help-desk patterns.

Engineering practices and AI-enabled execution

Partner with IT leadership to shape and execute a 12 to 18-month roadmap for analytics capabilities across the in-scope domains, including platform patterns, data products, priority areas, and adoption metrics.
Implement analytics CI/CD patterns such as version control, release discipline, and peer review to scale reliably.
Apply AI-assisted techniques (for example anomaly detection, driver analysis, AI-assisted query or code generation) to accelerate time-to-insight and adoption where it improves outcomes.
Work within an AI-enabled analytics environment using enterprise-grade AI tooling already in place across EMG IT, aligned to the Group Responsible AI Policy (accountability, fairness, reliability, transparency).

What you bring

8–10+ years in analytics/BI/data roles with evidence of business impact and strong cross-functional collaboration.
Required: experience directly managing or supervising technical staff (this role has a formal direct report).
Expert SQL and strong data modeling (facts/dimensions, performance-aware).
Proven ability to create reusable analytics assets (certified datasets, metric definitions, semantic consistency) that generalize across domains.
Strong business acumen and the ability to proactively propose analyses.
Exposure to supply chain, manufacturing, or quality analytics is a plus; Sales & Finance depth is the priority, with additional domains learned as scope expands.
Python is a plus for automation, scripting, and analysis.
AI-assisted techniques experience is a plus (an ability and willingness to learn is sufficient; deep AI/ML expertise is not required).
Proficiency in MS Office.
Strong relational database knowledge with hands-on experience in MS SQL Server and dimensional/star-schema modeling, since most source data across domains resides in SQL systems.
Preferred: experience with Power BI and Analysis Services development (measures, semantic models, DAX).
Preferred: experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake) and/or Azure Data Factory for ingestion and transformation.
Knowledge of SSIS, stored procedures, triggers, and performance tuning.
Strong Software Development Lifecycle knowledge; SCRUM experience and certification is a plus.
Ability for business and safety reasons to write reports and correspondence in English, and effectively present information and respond to questions in English to managers, clients, customers, technicians, and assemblers.

Location: Phoenix, AZ (onsite)

Physical demands and work environment

Frequently required to sit, stand, walk, stoop, and kneel; use hands and reach with hands and arms; communicate clearly.
May be frequently required to lift up to 10 pounds.
Work environment may be moderate to loud; occasional proximity to fumes or airborne particles and toxic or caustic chemicals; may require working near moving mechanical parts.

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30d ago

Data Analyst

Corning Phoenix, AZ

Phoenix, AZ

30d 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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30d ago

Data Engineer LFI, Data Governance

Software Resources, Inc. Phoenix, AZ

Phoenix, AZ

30d ago Closed

Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 17, 2026).

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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1mo ago

Principal Engineer I - Senior Data Engineer

Software Resources, Inc. Phoenix, AZ

Phoenix, AZ

1mo ago Closed

Full time Azure Data Factory Azure Data Lake Azure DevOps

This position is no longer accepting applications (closed Sep 16, 2026).

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