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Internship Financial Data Engineer Jobs in Arizona

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 ยท 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 ...

Senior Data Engineer / Data Curator

Phoenix, AZ ยท 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 ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ ยท On-site

$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 ...

Senior Data Engineer / Data Curator

Phoenix, AZ ยท 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 ...

Principal Data Engineer

Scottsdale, AZ ยท Hybrid

$136K - $182K/yr

S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much ... Be a thought leader: a senior point of expertise on Data Engineering, Data Science, Business ...

Senior Data Platform Engineer

Tempe, AZ ยท 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 ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ ยท 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 ...

Big Data Engineer II

Phoenix, AZ ยท 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 ...

Senior Data Engineer - Central (7872)

Phoenix, AZ ยท On-site

$100K - $136K/yr

The Senior Data Engineer plays a critical role within the Business Intelligence team, designing ... Financial well-being - 401(k) with a company match, interest free medical line of credit, financial ...

Showing results 21-40

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:

Principal Engineer I - Senior Data Engineer

Software Resources, Inc.

Phoenix, AZ โ€ข On-site

$124K - $171K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


Job description

Software Resources has an immediate, direct hire job opportunity for a Principal Engineer I - Senior Data Engineer with a major corporation in Phoenix, AZ or Dallas, TX. 4 days on site, Fridays remote.
Candidate MUST be an expert in Pyspark.
What you''ll do:
As the Principal Data Engineer, you are accountable to design, build, and implement critical components of the enterprise data platform in accordance with the strategic data and analytics needs of our Bank Regulatory Reporting Program.
This challenging role requires the best of your data management, cloud data engineering and technology knowledge to develop a cross-business unit data tier that is leveraged to implement and enhance the Bank''s regulatory reporting capabilities, including Large Financial Institution requirements. The Principal Data Engineer is a pioneer in our modern data platform working directly with data analysts, data engineers, enterprise architects, and business stakeholders. Embedded in the Enterprise Data & Analytics function, you influence the culture of data integration practices and are essential to mentoring other data professionals.

  • Implement data engineering solutions that satisfy the full data lifecycle including efficient technical hygiene and the use of Azure DevOps for the implementation of the Bank Regulatory Reporting and LFI strategy and roadmap.
  • Develop ETL and data pipeline capabilities considering how data is created, transformed, stored, archived, analyzed, and shared across the Bank and our partner systems.
  • Expert-level PySpark development experience, including:
    • Writing dynamic, parameterized, and reusable PySpark code
    • Building shared frameworks, helper functions, and companion notebook structures
    • Performance tuning and optimization of Spark workloads
  • Implement Azure DevOps CI/CD pipelines for all data solutions in adherence to Bank technical standards.
  • Apply Test Driven Development methodology to all data solutions designed, built, and implemented.
  • Lead the implementation of outcomes, recommendations, and designs from Data Governance and Enterprise Architecture.
  • Perform data exploration and data profiling with tools such as SSAS.
  • Actively participate in making data architecture decisions.
  • Provide technical mentorship to team members and other data professionals.
  • Collaborate with product owners and business stakeholders to gain a working understanding of business requirements and operational processes.
  • Implement built-in quality and compliance- by-design in all data solutions.
  • Implement methods to include unstructured data and big data.

What you''ll need:

  • 8+ years'' experience with data engineering specifically in Extract, Transform and Load (ETL) concepts and processes, enterprise data warehouse capabilities, database principles, and other related tools and technologies; preferably strong to expert in Azure Data Factory, Azure Synapse Analytics and/or Databricks.
  • 5+ years'' experience designing, implementing, and supporting cloud data solutions; Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience strongly preferred.
  • Bachelor''s degree in engineering or related field.
  • Expert level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL.
  • Design and build reusable, dynamic PySpark components, including:
    • Companion notebook frameworks
    • Shared helper functions and libraries
    • Parameter-driven ingestion and transformation patterns
  • Support and influence the migration from Azure Synapse to Microsoft Fabric, including modernization of patterns and frameworks.
  • Expert level experience in conceptual, logical, and physical data design.
  • Certifications within Azure such as Azure Fundamentals, Azure Fabric Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer.
  • Experience with design tools as it relates to creating conceptual architecture diagrams and data flow diagrams such as Visio, Archimate, Lucidchart.
  • Excellent communication skills both verbal and written.
  • Familiarity with data science and analytics tools such as SAS, Tableau, PowerBI.
  • Experience in Agile, SAFe, and/or Scrum is preferred.
  • Experience integrating with data quality, data catalog and data lineage tools is preferred.
  • Additional Cloud Data certifications with any major cloud provides (Azure, AWS, Google Cloud Platform) is preferred.
  • Banking or financial services industry experience or other highly regulated industry experience is preferred.
  • Regulatory Reporting, including Large Financial Institution requirements, is preferred.


About Software Resources
Software Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity.
We are always looking for professionals at all experience levels and in various specialties to meet our clients'' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.
If this position fits interests you, we encourage you to apply.