Arizona

Data Jobs in Arizona

50 jobs found

Include remote jobs

2mo ago

Managed Services - Senior Data Engineer - Senior Manager

PwC Phoenix, AZ

Phoenix, AZ

2mo ago Closed

$124k - $280k/yr Full time Manager Senior Amazon Web Services

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

This Senior Data Engineer - Senior Manager position within PwC's Technology Consulting practice is based onsite in Phoenix, AZ. The role leads data analytics initiatives, develops innovative data solutions, and guides teams to deliver data driven client outcomes.

Responsibilities

Design and implement innovative solutions to improve business performance and strengthen competitive positioning, including roadmap development and solution optimization.
Apply advanced analytics techniques to support client operations and strategic goals, leveraging AWS data engineering capabilities and Amazon Redshift.
Create and maintain data pipelines and architectures to enable business intelligence efforts using DataStage and ETL processes.
Deploy data visualization tools to provide actionable insights and improve client outcomes, utilizing SQL Server and DB2 in the stack.
Collaborate with stakeholders to identify data challenges and opportunities, aligning with managed services expectations and service level agreements.
Coach and motivate teams to solve complex problems and deliver high quality results.
Apply systems thinking to uncover underlying problems and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree required.
Minimum of 6 years of experience.

Technologies

AWS
Redshift
DataStage
ETL
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave

The Opportunity

As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision making for clients. Within PwC's Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. In the Senior Manager role, you will apply your skills and professional network to deliver quality results, mentoring and coaching teams to solve complex problems.

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering.
Demonstrating advanced skills in data architecture development and data pipeline management.
Utilizing Python and Java for complex data analysis and visualization.
Excelling in business intelligence tools like QlikView and Oracle BI.
Leading strategic questioning and stakeholder engagement initiatives.
Applying systems thinking to identify underlying problems and opportunities.
Directing teams through complex and ambiguous situations.

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2mo ago

Sr Salesforce Health Cloud Data Engineer

Cook Systems Phoenix, AZ

Phoenix, AZ

2mo ago Closed

Full time Senior Azure Data Factory Crm Integration

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

Cook Systems offers a hybrid work arrangement in Phoenix, AZ and a collaborative, data-driven environment focused on healthcare. You will design and develop ETL jobs and data integrations across the full SDLC, partnering with Salesforce Architects and application teams to enable bidirectional data movement using Salesforce Data Loader and Azure tools, all while upholding HIPAA privacy and federal security policies.

Benefits

Medical plans (Blue Cross Blue Shield) with dental and vision coverage
Life, critical illness, and accident insurance through Unum
Flexible Spending Accounts (FSA) for healthcare and dependent care
Health Gap Insurance through Sun Life
401(k) plan through The Standard

Why Work With Us

Your Health, Your Way: Access two comprehensive medical plans through Blue Cross Blue Shield with dental and vision, backed by one of the nation’s largest provider networks for quality care wherever you are.
Peace of Mind: Protect your family with life, critical illness, and accident insurance through Unum.
Flexibility for Life: Plan ahead with a Flexible Spending Account and Daycare FSA through Navia to manage healthcare and dependent-care expenses.
Extra Protection When You Need It: Health Gap Insurance through Sun Life helps cover unexpected costs.
Your Future Starts Now: Build retirement savings with a 401(k) plan through The Standard, with eligibility after six months.

Responsibilities

Collaborate with Salesforce Architects to design data models for Salesforce repositories aligned with the solution architecture
Maintain data integrity and accuracy within the Salesforce HealthCloud environment
Ingest, validate, and process incoming data, applying business rules and integrating within Salesforce
Develop and coordinate unit and integration test plans; execute testing and evaluate results
Analyze, design, and build code for Salesforce data integration activities with third party applications
Implement changes and provide post implementation user and system support
Identify opportunities for improvement using data driven insights and advocate for beneficial changes
Evaluate and resolve critical data issues while ensuring compliance with security policies

Requirements

Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, or related field, or equivalent database development experience
U.S. Citizenship with ability to receive a favorable DoD background investigation
5+ years of experience in a Data Engineering role
2+ years of experience with Azure
3+ years of experience developing data integration source code in SQL or equivalent
Experience in ETL with structured and semi-structured data
Experience gathering business requirements from cross-functional teams
Familiarity with SDLC processes and DevOps

Technologies

Salesforce Health Cloud
Salesforce Data Loader
Azure
Databricks
Python
Data Governance
Azure Data Factory
Microsoft SSIS
SQL Server
SQL
Snowflake in Azure Cloud

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2mo ago

Managed Services - Data Engineer - Experienced Associate

PwC Phoenix, AZ

Phoenix, AZ

2mo ago Closed

$63k - $140k/yr Full time Analytics Business Intelligence Cloud

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

Responsibilities

Develop and implement data driven solutions to optimize business performance and enhance competitive advantage through data engineering and ETL work
Apply advanced analytics techniques to provide strategic insights and support data informed decision making for clients, including SQL optimization
Build and maintain data pipelines to enable efficient data collection, transformation, and analysis using DataStage
Leverage business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
Collaborate with team members to gather and analyze data from diverse sources to identify patterns and trends using star schemas and dimensions
Apply data architecture development skills to design and maintain robust database management systems using snowflake models
Contribute to continuous process improvement to enhance data quality and integrity
Support client engagements by actively listening to diverse perspectives and needs in regulated environments
Participate in developing business cases and market development strategies through data analysis and interpretation
Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including job scheduling and UNIX tasks

Requirements

Bachelor's degree
Minimum 1 year of experience

Technologies

SQL
DataStage
Oracle Business Intelligence
QlikView
DB2
SQL Server
Python
Java
Spotfire
Snowflake
UNIX

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

Travel Requirements

Up to 60%

Locations

Phoenix, AZ (onsite)
Grand Rapids, MI
Indianapolis, IN
Raleigh, NC
Charlotte, NC
Jacksonville, FL
Cincinnati, OH
Cleveland, OH
Columbia, SC
Columbus, OH
Kansas City, MO
Dallas, TX
Las Vegas, NV
Little Rock, AR
Louisville, KY
Richmond, VA
Baltimore, MD
Sacramento, CA
St Louis, MO
Birmingham, AL
Albany, NY
Tampa, FL
Toledo, OH
Atlanta, GA
Austin, TX
Tulsa, OK
Miami, FL
Milwaukee, WI
Denver, CO
Minneapolis, MN
Des Moines, IA
Detroit, MI
Nashville, TN
Buffalo, NY
New Orleans, LA
Oklahoma City, OK
Fort Worth, TX
Greensboro, NC
Pittsburgh, PA
Houston, TX

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2mo ago

Managed Services - Senior Data Engineer - Manager

PwC Phoenix, AZ

Phoenix, AZ

2mo ago Closed

$99k - $232k/yr Full time Manager Senior Analytics

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

Job Description

Responsibilities

Spearhead data engineering initiatives to generate strategic insights and improve client performance through ETL and ELT integration
Design and implement innovative data solutions using DataStage and advanced analytics techniques
Manage and mentor teams to enhance capabilities and ensure high-quality client deliverables, with a focus on pipeline architecture
Leverage business intelligence tools and cloud analytics platforms such as AWS and Redshift to support data-driven decision making
Develop and maintain data pipelines and architectures to support analytics programs using DB2 and SQL Server
Collaborate with stakeholders to identify opportunities for data utilization and process improvements, employing GoldenGate and CDC
Oversee the deployment of scalable data visualization and reporting solutions, with emphasis on performance tuning
Promote the adoption of new technologies and methodologies within data and analytics teams, including S3 and Glue
Address and resolve conflicts or issues with clients and team members, escalating when necessary
Maintain professional and technical standards, including adherence to the firm’s code of conduct and independence requirements

Requirements

Bachelor's degree or higher
Minimum of 4 years of experience in data engineering or related fields

Technologies

DataStage, AWS, Redshift, DB2, SQL Server
GoldenGate, CDC
S3, Glue
Python, Java
BIRT, QlikView, Spotfire

Compensation

Salary range: USD 99,000 - 232,000 per year

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

Travel Requirements

Up to 60% travel

Locations

Phoenix
Grand Rapids
Indianapolis
Raleigh
Charlotte
Jacksonville
Cincinnati
Cleveland
Columbia
Columbus
Kansas City
Dallas
Las Vegas
Little Rock
Louisville
Baltimore
Sacramento
St Louis
Birmingham
San Antonio
Albany
Tampa
Toledo
Atlanta
Austin
Tulsa
Miami
Milwaukee
Denver
Minneapolis
Des Moines
Detroit
Nashville
Buffalo
New Orleans
Oklahoma City
Fort Worth
Greensboro
Pittsburgh
Houston

The Opportunity

As a Managed Services Senior Data Engineer Manager, you will leverage data and analytics to deliver strategic insights and support informed decision making for clients. Within the Data & Analytics practice, you will develop and implement innovative solutions to optimize performance and strengthen competitive advantage. As a manager, you will lead teams and oversee client accounts, emphasizing strategic planning and mentoring junior staff. You will be accountable for ensuring project success.

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2mo ago

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

Deloitte Gilbert, AZ

Gilbert, AZ

2mo ago Closed

Full time Agentic Ai Artificial Intelligence Cloud Operations

This position is no longer accepting applications (closed Aug 13, 2026).

Job Description

Deloitte’s Identity & Gen AI Engineering team is shaping secure, enterprise-grade generative AI solutions with a strong emphasis on identity, access, and governance. Based in Gilbert, AZ with a hybrid work model, the Delivery Senior Consultant will design and deliver AI programs that securely connect human and non-human identities to data systems across on-premise and cloud environments.

Responsibilities

Design and integrate generative AI platforms, including large language model applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.
Implement authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities across enterprise and cloud environments.
Create guardrails for agentic workflows, applying scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.
Establish logging, monitoring, and governance to ensure traceability and accountability of AI system actions.
Work with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.
Develop and sustain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.

Requirements

A bachelor's degree in cybersecurity, computer science, information systems, engineering, or a closely related technical field.
Willingness to work on-site up to five days per week.
Minimum of three years in software engineering using Python or an equivalent language.
At least one year of hands-on experience delivering generative AI solutions such as LLM applications, RAG, or AI agents, including use of model APIs, orchestration frameworks, and tools like Claude Code, OpenAI Codex, GitHub Copilot, or Cursor.
Solid understanding of identity and access management concepts and protocols, including authentication, authorization, SSO, and standards such as OpenID Connect, SAML, OAuth, and JWT.
Ability to travel approximately 15% on average, depending on client assignments.
Capability to obtain and maintain the required security clearance.
Legal authorization to work in the United States without the need for employer sponsorship now or in the future.
Hybrid work model with residency within a commutable distance to Deloitte Delivery Centers in Gilbert, AZ, Lake Mary, or Mechanicsburg, or Geo-Hub locations in Atlanta, Charlotte, Dallas, Houston, and Philadelphia; up to 30% of time may be co-located at an office for opportunities, projects, training, and engagements; up to 10% overnight travel; relocation within 12 weeks if needed to reside within commutable distance.

Technologies

Python
Claude Code
OpenAI Codex
GitHub Copilot
Cursor
LangChain
LangGraph
Model Context Protocol
Open Policy Agent
Cedar
OpenFGA
AWS
Microsoft Azure
Terraform
Ansible
SailPoint
Okta
Microsoft Entra ID
HashiCorp Vault
CyberArk
OpenID Connect
SAML
OAuth
JSON Web Token

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3mo ago

Databricks Data Engineer

Deloitte Tempe, AZ

Tempe, AZ

3mo ago Closed

$87k - $171k/yr Full time Analytics Artificial Intelligence Azure Databricks

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Join Deloitte in Tempe, AZ, onsite, as a Databricks Data Engineer. This role supports analytics and AI initiatives through the design, construction, and continual optimization of cloud-based data pipelines. The position offers a salary range of USD 86,700 to 170,900 per year and the opportunity to work closely with both client teams and Deloitte experts to deliver large-scale data transformation programs. You will gain hands-on experience with Databricks, Apache Spark, Python, and SQL while contributing to the modernization of enterprise data platforms and influencing how data supports decision making and innovation.

Responsibilities

Create and sustain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL.
Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns.
Design and manage batch and streaming data workflows that underpin reporting, analytics, and AI use cases.
Apply data architecture, integration, and modeling practices to improve data quality, scalability, and platform performance.
Collaborate with client teams and Deloitte colleagues to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics.
3+ years of experience in data engineering, ETL development, or data platform engineering.
2+ years building data pipelines in Databricks using Apache Spark, Python, and SQL.
Experience implementing data models, data integration patterns, and cloud-based data processing workflows.
Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
Ability to travel approximately 50% on average.
Limited immigration sponsorship may be available.

Technologies

Databricks
Apache Spark
Python
SQL
AWS
Azure
GCP
Delta Lake
Databricks Workflows
Unity Catalog
Git

Preferred

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and CI/CD pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

Accommodation

Information for applicants with a need for accommodation: details available here

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3mo ago

Data Engineer (Warehouse, BI & SQL DBA)

Barrett-Jackson Auction Co, LLC Scottsdale, AZ

Scottsdale, AZ

3mo ago Closed

Full time Analytics Azure Azure Data Factory

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Barrett-Jackson Auction Co, LLC is seeking a Data Engineer to own the end-to-end Microsoft data platform for its Scottsdale IT team. The role centers on designing, administering, and delivering ELT/ETL development and governance for a warehouse/lakehouse built on Azure Synapse and/or Microsoft Fabric, enabling analytics and reporting in Power BI.

Responsibilities

Design and manage SQL Server and Azure SQL databases, covering schema design, indexing approaches, constraints, and data integrity controls.
Own core DBA functions such as backup/restore, high availability and disaster recovery, patching and upgrades, capacity planning, monitoring/alerts, and routine maintenance.
Build and optimize ELT/ETL pipelines using Microsoft tooling (Azure Data Factory, Synapse Pipelines, and/or Fabric Data Factory), integrating data from on‑premises and cloud sources.
Develop scalable transformation patterns with T-SQL and Spark where applicable, delivering repeatable, testable data-processing frameworks.
Design and operate the enterprise Data Warehouse or Lakehouse, including dimensional modeling (star/snowflake), incremental loads, historization (SCD), and semantic layer alignment for BI.
Administer and optimize Azure Synapse and/or Microsoft Fabric (Lakehouse/Warehouse), including workspace organization, resource governance, and performance and cost tuning.
Enable Power BI reporting by delivering curated datasets, developing and supporting semantic models, and partnering with analysts on performance, refresh strategies, and best practices.
Implement data quality, reconciliation, and observability (logging, lineage, SLAs), and drive root-cause analysis for data issues across pipelines and reporting.
Establish and enforce security and governance controls (RBAC, least privilege, encryption, PII handling, auditability) across databases, lakehouse/warehouse, and BI.
Automate deployments and operations using Git-based workflows and CI/CD (Azure DevOps/GitHub), including infrastructure-as-code where appropriate.
Create technical documentation for data models, source-to-target mappings, operational runbooks, and support procedures.
Collaborate with application engineering, product, and business stakeholders to translate requirements into reliable data products and deliver iteratively in an Agile environment.

Requirements

6+ years of hands-on data engineering and/or data warehouse engineering experience, including production-grade pipelines and curated datasets.
4+ years administering and tuning SQL Server and/or Azure SQL (query optimization, indexing, security, backup/restore, maintenance).
Strong proficiency with T-SQL, relational data modeling, and performance tuning (execution plans, statistics, partitioning, concurrency patterns).
Experience building ELT/ETL with Azure Data Factory/Synapse Pipelines and/or Fabric Data Factory; familiarity with event- or file-based ingestion patterns.
Experience designing and operating a modern warehouse/lakehouse using Azure Synapse and/or Microsoft Fabric (Lakehouse/Warehouse, notebooks/Spark, and orchestration).
Solid understanding of data warehouse concepts and modeling techniques (Kimball dimensional modeling, SCD, data marts, and semantic layer alignment).
Power BI experience supporting enterprise reporting (datasets/semantic models, refresh strategies, and workspace governance).
Experience with Azure security and identity patterns (Azure AD, managed identities, Key Vault, RBAC) and protecting sensitive data (PII) end-to-end.
Hands-on DevOps experience: Git branching, code reviews, CI/CD, and automated deployments (Azure DevOps and/or GitHub).
Strong troubleshooting skills across data pipelines, databases, and BI; ability to communicate clearly with technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.

Technologies

SQL Server
Azure SQL
Azure Data Factory
Synapse Pipelines
Fabric Data Factory
Spark
T-SQL
Azure Synapse
Microsoft Fabric
Power BI
Azure AD
Key Vault
RBAC
Azure DevOps
GitHub
Git

Culture

The culture at Barrett-Jackson is built around an in-person, on-site work environment. Team members are in the Scottsdale headquarters five days a week, 8:00 am to 5:00 pm. During live events, the team travels together to ensure events run smoothly, which may involve weekend work and longer hours. The setting is characterized by high energy and a strong sense of shared purpose around each event.