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Internship Financial Data Engineer Jobs in Arizona

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:

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:

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:

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:

Data Engineer

Tempe, AZ

$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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$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 ...

... 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 ...

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 ...

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 ...

Sr. Data Engineer - FP&A

Phoenix, AZ · Remote

$105K - $143K/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 ...

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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Internship Financial Data Engineer information

What does an internship financial data engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.

What are the key skills and qualifications needed to thrive as an internship financial data engineer?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

What is the difference between Internship Financial Data Engineer vs Financial Data Analyst?

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What are the most commonly searched types of Financial Data Engineer jobs in Arizona?

The most popular types of Financial Data Engineer jobs in Arizona are:

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


$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


What Kimley-Horn employees say

Pay

Benefits

Hours and flexibility

Workplace

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