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Internship Financial Data Engineer Jobs in Arizona

Data Engineer II

Phoenix, AZ · On-site

$107K - $128K/yr

As a Data Engineer II here at Honeywell Aerospace, you will play an essential role in developing ... The role emphasizes collaboration with Finance stakeholders (not enterprise IT architecture) to ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

The Data Engineer will design and implement data structures and analytical solutions to improve ... quality, finance, IT, and AMPS leadership to define data requirements, reporting priorities ...

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 · 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

$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

Tolleson, AZ · On-site

$112K - $135K/yr

Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Data Engineer II

Phoenix, AZ · On-site

$89K - $150K/yr

Partner with Finance, Engineering, Product, and analytics stakeholders to translate business needs into effective data solutions. * Develop and support dashboards, curated datasets, and recurring ...

Data Engineer

Tempe, AZ · On-site +1

$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 ...

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 ...

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Internship Financial Data Engineer information

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

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

66th of 537 rated manufacturers


Job description


As a Data Engineer II here at Honeywell Aerospace, you will play an essential role in developing and refining data pipelines that facilitate the accurate and efficient flow of information across various systems. Your efforts will be pivotal in enhancing the organization's ability to access and utilize critical financial data seamlessly.
You will report to our Sr Data Analytics Manager and work out of our Sky Harbor, Phoenix, AZ location. This position will begin with 90 days onsite before transitioning to a hybrid, 3 days in the office, 2 days at home, position.
Your primary focus will be on creating robust, scalable solutions that ensure real-time delivery and automated processing of data from our diverse data sources to endpoint solutions. The role emphasizes collaboration with Finance stakeholders (not enterprise IT architecture) to translate business requirements into reliable, well-documented data products.
Key Responsibilities:
  • Build and maintain ELT/ETL pipelines that ingest data from varied sources (financial systems, ERP/CRM, files, APIs) into Snowflake; ensure reliability, observability, and recoverability.
  • Develop transformations using SQL and Python within Dataiku (recipes, flows, scenarios) and Databricks (notebooks, Jobs, Delta Lake/Spark) to produce trusted, reusable finance data marts and subject-area tables.
  • Automate and orchestrate workflows (scheduling, dependency management, alerts) in Dataiku/Databricks; implement robust logging and monitoring.
  • Enable Tableau analytics by publishing performant Snowflake views and semantic layers; optimize query patterns (warehouses, micro-partitions, caching) to support dashboard performance and scalability.
  • Data quality and governance: implement validation rules, reconciliations/tie-outs to source systems, lineage documentation, and access controls; uphold standards for PII and financial data.
  • Requirement gathering & stakeholder collaboration: work directly with Finance/FP&A, Accounting, and business analysts to translate metrics (e.g., period close, variance analysis, forecasting) into data models and pipelines.
  • Performance tuning: leverage Snowflake features (e.g., Tasks, Streams, Dynamic Tables where appropriate), clustering strategies, and cost-efficient warehouse configurations.
  • Version control and CI/CD: manage code in Git, contribute reviews, unit/integration tests, and promote changes through dev/test/prod.
  • Process modernization: convert manual/Excel processes into automated, auditable pipelines; prototype utilities and frameworks in Python.

Qualifications
YOU MUST HAVE:
  • 3-5 years of professional data engineering experience, including 2+ years with Snowflake (data modeling, SQL performance, warehouse administration).
  • Advanced SQL and practical Python skills for data processing and automation.
  • Hands-on experience with Dataiku (flows, recipes, scenarios, plugins) and Databricks (Spark, Delta Lake, Jobs) for pipeline development and orchestration.
  • Experience preparing datasets for Tableau consumption; familiarity with semantic layers, live vs. extract strategies, and performance best practices.
  • Demonstrated ability to partner with Finance/FP&A teams and translate business logic into reproducible data transformations.
  • Strong documentation habits, communication skills, and commitment to data quality and operational excellence.

WE VALUE:
  • Bachelor's degree in computer science, Information Systems, Engineering, Mathematics, or related field (or equivalent experience).
  • Exposure to cloud platforms (Azure, AWS, or GCP) and data services; experience with secrets management and resource cost-optimization.
  • Familiarity with Snowflake Streams, Tasks, and Dynamic Tables for incremental processing and near-real-time use cases.
  • Experience with CI/CD (e.g., GitHub Actions/Azure DevOps), pytest/unit testing, and environment promotion.
  • Knowledge of data governance (cataloging, lineage, roles/policies) and best practices for financial data controls.
  • Background in finance domain concepts (GL, P&L, balance sheet, budgeting & forecasting).

BENEFITS OF WORKING FOR HONEYWELL AEROSPACE
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell Aerospace employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and Paid Holidays.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: July 24, 2026
U.S. PERSON REQUIREMENTS
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.
ABOUT HONEYWELL AEROSPACE
Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution.
Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.
Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next.
Every horizon. Every mission. Every day.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906