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Financial Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

Cognite - AI for Industry

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 ...

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 ...

IntraEdge

Big Data Engineer II

Phoenix, AZ · On-site

$55.75 - $73.75/hr

Test the engineering resilience of software and automation tools. * Be part of an enthusiastic ... Knowledge of Financial reporting ecosystem will be a plus * Experience with Data Visualization ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$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 ...

Terros Health

Senior Data Engineer (8934)

Phoenix, AZ · On-site

$100K - $136K/yr

The Senior Data Engineer plays a critical role within the Business Intelligence team, designing ... Financial education, planning, and support resources * Monetary company contribution toward ...

New

Keylent Inc

Data engineer with Java, Kafka, K SQL

Phoenix, AZ · On-site

$113K - $136K/yr

Keylent Inc is seeking a Data Engineer with expertise in Java, Kafka, and K SQL. The role involves ... Banking Financial • Strong oral and written communication Qualifications : Required : • Java ...

Motion Recruitment

Software Engineer 2

Phoenix, AZ · Hybrid

$92K - $126K/yr

A well-known Financial Services Company is looking for a Software Engineer 2 in Phoenix, AZ (Hybrid ... Proven skills with data migration from on-prem to a cloud native environment * Proven experience ...

Traka (Assa Abloy)

Data Analytics Engineer

Phoenix, AZ · On-site

$110 - $160/hr

Partner with Sales and Finance to build a differentiated **sales analytics product** that improves ... B) Analytics engineering: data products, semantic layer, and standardized metrics*** Design and own ...

New

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Showing results 21-40

All JobsFinancial Data Engineer JobsFinancial Data Engineer Jobs in Phoenix, AZ

Financial Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do financial data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for financial data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What is a financial data engineer?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What does a financial data engineer do?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

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

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

What are the most commonly searched types of Financial Data Engineer jobs in Phoenix, AZ?

The most popular types of Financial Data Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Financial Data Engineer jobs in Phoenix, AZ?

For Financial Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Financial Data Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Financial Data Engineer jobs in Phoenix, AZ are:

Financial Data Engineer jobs near you
Infographic showing various Financial Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 86% In-person, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Sr. Data Engineer - FP&A

Cognite - AI for Industry

Phoenix, AZ • Remote

$105K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. 

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.


Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
 
We're looking for a Senior Data Engineer with business acumen who is ready to tackle big challenges and advance their career. In this role, you'll join a team committed to creating cutting-edge business solutions that significantly impact critical business functions across Cognite. You will report to the Vice President of FP&A (Financial Planning & Analysis) and be tasked with building out the Cognite Enterprise Data Warehouse (EDW) for business data. This will include building the Semantic (logic/contextualization) layer for business data and leading the selection and implementation of a world class EDW AI solution. 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're passionate about leveraging technology to solve tough problems and are eager to impact the way Cognite operates, we want to hear from you. Let's build the future of Cognite business data, reporting and AI capabilities together.
 
Strategy & architecture
• Lead the design and implementation of a scalable Enterprise Data Warehouse (EDW) and efficient data engineering solutions using Azure, Fabric, Power BI, and Cognite Data Fusion®.
• Technology Selection: Evaluate and select data technologies, frameworks, and platforms to support future business scaling needs.
 
Build & integration
• Drive and manage integrations, extractions, data modeling, and analysis using data connectors and SQL, Python/Java, and REST APIs.
• Data Pipeline Development: Develop and maintain data pipelines (ETL/ELT) to move data from source systems into data warehouses or data lakes.
• Data Preparation: Clean, transform, and aggregate raw data into structured formats optimized for Power BI reporting and AI agents.
• Data Modeling: Create custom data models for data discovery, mapping, and cleansing. Define conceptual, logical, and physical data models to map out how different data entities relate to one another.
 
Operations & enablement
• Governance & Security: Establish standards for data quality, security, privacy, and compliance (e.g., GDPR, CCPA).
• Collaborate with business stakeholders and engineering organizations to enable data-driven business decisions.
 
Job Requirements
 
Education & background 
• Bachelor's or Master's degree in computer science or a related field; relevant experience may compensate for formal education. A business degree (MBA) or demonstrated experience working in finance, sales, marketing, supply chain, or a similar business setting is strongly preferred.
 
Experience 
• Minimum 5 years of experience in internal or external customer-facing, data-intensive roles.
• Proven experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
• Hands-on experience with Azure cloud services, including administration tasks such as subscription management and Key Vault; familiarity with GCP is a plus.
• Experience with Microsoft Fabric, including Lakehouse architecture, Notebooks (PySpark, Spark SQL, DAG workflows), and PowerShell scripting.
• Experience building and maintaining Power BI semantic models (star schema) and designing reports for business stakeholders.
• Proficiency with GitHub for version control, GitHub Actions for CI/CD, and Terraform for infrastructure and access management.
• Willingness to learn and ramp quickly on Cognite Data Fusion (CDF), including Python SDK, Flows/Dune, and GraphQL
 
Mindset & ways of working 
• DevOps mindset with experience across CI/CD pipelines and deployment environments.
• Able to independently investigate and solve complex data problems with minimal direction.
• Comfortable working in cross-functional teams spanning both technical and business stakeholders.
• Demonstrates humility — willing to ask for help and actively shares knowledge with others.
 
A snapshot of our many perks and benefits as a Cogniter
* Competitive compensation
* 401(k) with employer matching
* Competitive health, dental, vision & disability coverages for employees and all dependents
* Unlimited PTO
* Paid Parental Leave Program
* Employee Referral Program
 
 
 
Learn more about us
 
 
 
  • Impact 2025
  • Cognite's Industrial AI: Moonshot
  • We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
 
 
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.