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Data Engineer Finance Jobs in Arizona (NOW HIRING)

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... financial, and/or other benefits, dependent on the position offered. Learn more about Viasat ...

EXL Service

Principle Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... financial services, media, and retail, among others. Focused on creating value from data for ... The Data Engineer's role is to play a lead role in developing a high-performance data platform ...

Cognite - AI for Industry

Sr. Data Engineer - FP&A

Phoenix, AZ · On-site

$113K - $136K/yr

You'll collaborate with Finance, Sales, Marketing, P&O/HR, Legal, Engineering, etc. to deploy and optimize digital solutions that empower users to make better data-driven business decisions. If you ...

American Express

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Free financial coaching and financial well-being support * Comprehensive medical, dental, vision ... Strong programming skills in Python and experience with Apache Spark * Strong understanding of data ...

Citizens

Principal Data Engineer - FLINK

Phoenix, AZ · On-site

Experience in financial services or banking, with understanding of real-time data use cases such as payments, fraud, or trading * Experience managing or mentoring engineering teams in Agile delivery ...

Adecco

Senior Data Engineer

Phoenix, AZ · Remote

$120K - $135K/yr

Senior Data Engineer - Revenue Cycle Management 100% Remote | U.S.-Based | Healthcare Data ... You'll collaborate with Data & Analytics, Finance, Billing, Operations, EHR, and leadership teams ...

Citizens

Principal Data Engineer - FLINK

Phoenix, AZ · On-site

Experience in financial services or banking, with understanding of real-time data use cases such as payments, fraud, or trading * Experience managing or mentoring engineering teams in Agile delivery ...

kestra

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Work with financial or regulated datasets, applying strong compliance and governance practices ... Expertise in data engineering and data warehousing, consistently delivering enterprise-grade ...

kestra

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Work with financial or regulated datasets, applying strong compliance and governance practices ... Expertise in data engineering and data warehousing, consistently delivering enterprise-grade ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ

$106K - $145K/yr

... Finance, Sales, Operations, and other business functions. * Contribute to Axon's formal data ... Mentor junior and mid-level engineers through thorough code reviews, pairing on complex problems ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... When you are at your best-physically, mentally, and financially-our company is at its best. We ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... When you are at your best-physically, mentally, and financially-our company is at its best. We ...

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Kestra is dedicated to empowering independent financial professionals-including traditional and ... We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the ...

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Data Engineer Finance information

What does a data engineer in finance do?

A Data Engineer in Finance is responsible for designing, building, and maintaining data pipelines and architectures that support the collection, storage, and analysis of financial data. They ensure that financial institutions have reliable access to accurate and timely data for analytics, reporting, and regulatory compliance. Their work often involves integrating data from multiple sources, optimizing data workflows, and collaborating with data scientists and analysts to deliver actionable insights. Data Engineers in Finance play a crucial role in enabling data-driven decision-making while ensuring data security and integrity.

What are the key skills and qualifications needed to thrive as a data engineer in finance?

To thrive as a Data Engineer in Finance, you need expertise in data modeling, ETL processes, and a strong foundation in SQL, Python, or Scala, often supported by a degree in computer science, information systems, or a related field. Familiarity with financial data platforms, cloud services (like AWS or Azure), and tools such as Apache Spark, Hadoop, and relevant data security certifications is common. Collaboration, attention to detail, and strong problem-solving skills are standout soft skills for this role. These abilities ensure reliable data pipelines, compliance with financial regulations, and actionable insights that support critical business decisions.

How does a data engineer in finance typically collaborate with analysts and other stakeholders to ensure data reliability and compliance?

Data Engineers in Finance work closely with data analysts, business intelligence teams, and compliance officers to design pipelines that deliver accurate, timely, and compliant data. Regular communication is essential to understand reporting requirements, data quality standards, and regulatory constraints. They often participate in cross-functional meetings to prioritize tasks, resolve data discrepancies, and implement controls that meet both business and legal needs. This collaboration ensures that data products not only support decision-making but also adhere to financial industry regulations.

What is the difference between Data Engineer Finance vs Data Analyst Finance?

AspectData Engineer FinanceData Analyst Finance
Primary RoleBuilds and maintains data pipelines, infrastructure, and databases for financial dataAnalyzes financial data to generate reports and insights
Skills & CertificationsSQL, Python, ETL tools, cloud platforms, data modelingExcel, SQL, data visualization tools, basic scripting
Work EnvironmentData engineering teams, IT departments, cloud environmentsFinance teams, business units, reporting platforms
Industry UsageUsed across financial institutions for data infrastructureUsed for financial reporting and decision-making

Data Engineer Finance focuses on creating and managing the data infrastructure necessary for financial data processing, while Data Analyst Finance interprets this data to provide actionable insights. Both roles are essential in financial organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Finance jobs in Arizona?

For Data Engineer Finance jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Engineer Finance jobs in Arizona look for?

The top searched job categories for Data Engineer Finance jobs in Arizona are:

What cities in Arizona are hiring for Data Engineer Finance jobs?

Cities in Arizona with the most Data Engineer Finance job openings:

Data Engineer Finance jobs near you
Infographic showing various Data Engineer Finance job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Engineer

Phoenix, AZ • On-site

Kimley-Horn
Specialized Design Services • 5 - 10K employees

8.9

Company rating: 8.9 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 450 rated engineering

Great coworkers

People enjoy working here

Good employer

Learn more about Kimley-Hornexternal

$104K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

Overview
We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.
The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with business stakeholders to understand requirements, develop data integration solutions, and support reporting and analytics initiatives.
As our data platform continues to evolve, this role will have the opportunity to contribute to architectural decisions and gain experience with emerging technologies including Microsoft Fabric, Databricks, Snowflake, and AI-enabled development tools.
This is a full-time, in-office position.
Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
  • Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics.
  • Build and maintain reliable data integrations from internal and external data sources.
  • Partner with business users to gather requirements and translate business needs into technical solutions.
  • Support the design and enhancement of enterprise data models and data architecture.
  • Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
  • Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Contribute to data quality, governance, documentation, and engineering standards.
  • Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality.
  • Continuously learn and evaluate emerging data platform technologies.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
  • 3+ years of professional experience in data engineering or a related technical role.
  • Strong experience with SQL, Microsoft SQL Server and T-SQL development.
  • Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools.
  • Experience programming with Python.
  • Experience working within Azure cloud environments.
  • Experience using Git and Azure DevOps or similar source control and CI/CD platforms.
  • Working knowledge of Power BI datasets and data modeling concepts.
  • Experience gathering business requirements and working directly with stakeholders.Strong analytical, communication, and problem-solving skills.
  • Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, Codex, or similar technologies.

Preferred Qualifications:
  • Experience with Microsoft Fabric, Databricks, or Snowflake.
  • Knowledge of enterprise data architecture and data modeling principles.
  • Experience with Azure Data Lake Storage.
  • Familiarity with dimensional modeling and data warehouse concepts.
  • Experience integrating REST APIs and semi-structured data.
  • Interest in AI, advanced analytics, and modern cloud data platforms.

Why Kimley-Horn?
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it- that's why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn's placement on the Fortune "100 Best Companies to Work" list for 19 years!
Key Benefits at Kimley-Horn
  • Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
  • Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
  • Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
  • Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
  • Professional Development: Tuition reimbursement and extensive internal training programs.
  • Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.
Kimley-Horn logo

About Kimley-Horn

Sourced by ZipRecruiter

We are a full-service consulting firm that provides a wide range of infrastructure and land development planning and engineering services to both public and private clients. Though we have more than 6,000 employees in 100+ offices, we pride ourselves on our small company feel. At Kimley-Horn, we do things differently. People--clients and employees--are at the forefront of our business. Clients know we are laser-focused on their success. Employees know our culture and approach to business are built on a desire to see our staff flourish, one and all. Both groups know that with Kimley-Horn, they can expect more and experience better.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1967

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What Kimley-Horn employees say

Pay

Benefits

Hours and flexibility

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