1

Senior Financial Data Engineer Jobs in Wisconsin

Staff Data Engineer

Germantown, WI ยท On-site

$116K - $139K/yr

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering ...

Senior Data Engineer III

Foxboro, WI ยท On-site

$130K - $160K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and ...

Data Engineer

Milwaukee, WI ยท On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... for its financial strength and longevity in the insurance industry. Our reputation in the ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design ...

Sr. Data Engineer

Madison, WI ยท On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design ...

Data Engineer

Madison, WI ยท On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... for its financial strength and longevity in the insurance industry. Our reputation in the ...

Sr. Data Engineer

Madison, WI ยท On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design ...

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... for its financial strength and longevity in the insurance industry. Our reputation in the ...

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... for its financial strength and longevity in the insurance industry. Our reputation in the ...

Analyze financial data by collecting, monitoring and creating financial models for decision support ... The Senior Finance Business Partner will play a critical role in managing, analyzing, and ...

Senior Financial Analyst

Delavan, WI ยท On-site

$76K - $95K/yr

Translate Data into Strategy The Senior Financial Analyst will assist the Director of FP&A to provide analysis to drive our financial planning, budgeting, and forecasting functions and achieve ...

Senior Financial Analyst

Delavan, WI ยท On-site

$76K - $95K/yr

Translate Data into Strategy The Senior Financial Analyst will assist the Director of FP&A to provide analysis to drive our financial planning, budgeting, and forecasting functions and achieve ...

Senior Financial Analyst

Delavan, WI ยท On-site

$76K - $95K/yr

Translate Data into Strategy The Senior Financial Analyst will assist the Director of FP&A to provide analysis to drive our financial planning, budgeting, and forecasting functions and achieve ...

Showing results 41-60

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 Wisconsin?

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

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

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

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

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

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

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

Staff Data Engineer

Continuus Technologies LLC

Germantown, WI โ€ข On-site

$116K - $139K/yr

Full-time

Re-posted 14 days ago


Job description

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and platformsLead design decisions for data ingestion, transformation, and storageEstablish best practices for data modeling, testing, observability, and reliabilityDrive data quality, lineage, and governance frameworksServe as a technical mentor for junior and mid-level data engineersPartner with analytics, product, and business stakeholders to translate needs into data solutionsEvaluate and implement modern data tools and cloud technologiesLead incident response, root cause analysis, and long-term remediationContribute to roadmap planning and long-term data strategyQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)7+ years of experience in data engineering or related rolesAdvanced SQL and strong proficiency in Python (or similar language)Deep experience with data warehousing and data modelingProven experience designing production-grade ETL/ELT pipelinesStrong understanding of distributed systems and data architecturePreferred ExperienceCloud data platforms (AWS, Azure, or GCP)Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)Data observability, monitoring, and reliability toolingExperience supporting analytics, BI, ML, or product data use casesPrior experience influencing technical strategy without direct authority