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Senior Financial Data Engineer Jobs in Arizona (NOW HIRING)

Senior Financial Analyst

Mesa, AZ · On-site

$84K - $105K/yr

The Senior Financial Analyst plays a critical role in supporting strategic decision-making by ... Ensure accuracy of financial data, align with US GAAP and company policies, and support internal ...

Data Engineer II

Phoenix, AZ · On-site

$107K - $128K/yr

The role emphasizes collaboration with Finance stakeholders (not enterprise IT architecture) to ... data engineering experience, including 2+ years with Snowflake (data modeling, SQL performance ...

Senior Data Engineer

Scottsdale, AZ · On-site

$106K - $145K/yr

We will never ask for personal and financial information during the recruiting process. If you ... Job Summary Consumer Cellular is seeking skilled Senior Data Engineers who thrive in a highly ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You ...

Senior Financial Analyst

Chandler, AZ · On-site

$89.20 - $165.60/hr

... Engineering, Operations, and Supply Chain. Job Responsibilities * Effective leadership of the ... Strong Excel, financial modeling, and data analytics skills. * 5+ years of related experience.

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You will partner ...

Senior Financial Analyst

Chandler, AZ · On-site

$84K - $104K/yr

Accounting and Finance, Program Management, Contracts, Pricing, Engineering, Operations, and Supply ... Effective communication of data driven recommendations to move the business forward with a sense of ...

Senior Financial Analyst

Tucson, AZ · On-site

$80K - $100K/yr

Reporting to the Senior Manager FP&A this role will support planning, forecasting, reporting ... data visualization tools. * Experience in a global, high-growth technology, engineering ...

Senior Financial Analyst

Chandler, AZ · On-site

$84K - $104K/yr

... Engineering, Operations, and Supply Chain. Job Responsibilities: * Effective leadership of the ... Strong Excel, financial modeling, and data analytics skills * 5+ years of related experience ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$106K - $145K/yr

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Finance, Sales, Operations, and other business functions. * Contribute to Axon's formal data ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Finance, Sales, Operations, and other business functions. * Contribute to Axon's formal data ...

Senior Financial Analyst, Retail

Tempe, AZ · On-site

$83K - $103K/yr

The Senior Financial Analyst supports the Senior Finance Manager, Real Estate and several corporate ... Bachelor's degree in finance, Economics, Math, Data Science or Similar required * 4+ years of ...

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Senior Financial Data Engineer information

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

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:

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

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

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

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

What cities in Arizona are hiring for Senior Financial Data Engineer jobs?

Cities in Arizona with the most Senior Financial Data Engineer job openings:

Sr. Data Engineer (Snowflake)

Data Ideology, LLC

Snowflake, AZ • On-site

$100 - $140/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago


Key responsibilities

  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.

  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.

  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.


Job description

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.

For more information about Data Ideology, visit www.dataideology.com.

Sr. Data Engineer - (Snowflake)

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client‑facing, consultative role that blends solution design with hands‑on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.

This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high‑quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.

Responsibilities
  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands‑on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client‑facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.

Data Ideology is an EEO Employer

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