Senior Cloud Data Engineer, Investment Systems

Title: Senior Cloud Data Engineer, Investment Systems
Location: Madison, Wisconsin
Position: Full-Time Direct Hire, Hybrid*

Join a Top Financial Organization Exceptional Pay, Bonus & Paid Relocation!

*Hybrid requirement varies depending on candidate location and commute distance:

Madison Area: Onsite 3 days per week

50 mile radius: Onsite 2 days per week

Outside 50 miles: Onsite 1 day per week or 4x per month
Overview
TalentFish is casting a line for a Senior Cloud Software Engineer. This is a direct hire opportunity with our premier financial services client located in Madison, Wisconsin.

• This exciting opportunity to join our client's Data Services & Engineering Team in their efforts of supporting, implementing, and developing industry-leading systems and platforms to support a diverse and complex set of investment portfolios and strategies.
• The team strives to be a trusted advisor and partner to the business that is valued as a critical contributor to the organization's continued growth and success.
• This role will aid in the effort of effectively leveraging technology to derive the maximum value from it and achieve business goals while keeping technology aligned with the organization's future direction and operating technology according to industry standards.

What You Bring to the Role. (Ideal Experience)

• Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, data science or a related program.
• Minimum of 3 years of experience with data science, data analytics, investment analysis, or similar.
• Minimum of 8 years of experience as a Cloud Data Engineer, Data Engineer, or similar role with strong cloud expertise (Azure preferred).
• Proactively drives data-driven decision-making through innovative analytical solutions and models.
• Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders.
• Proficient in programming languages such as Python, SQL, and R for data manipulation, analysis, and model development.
• Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis.
• Skilled in developing and deploying Machine Learning models, utilizing techniques such as regression, classification, and clustering.
• Knowledge of cloud platforms (e.g., Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.
• Experience with data warehousing technologies and platforms (e.g., Snowflake) to support analytics initiatives.
• Experience deploying reports utilizing automated processes Continuous Integration and Continuous Deployment techniques (CI/CD).
• Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.
• Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence.
• Interest or experience in investment management, quantitative finance, and technology. Progress toward or completion of the CFA designation is preferred.
• Ability to follow consistency in creating/updating documentation, maintain process (i.e., JIRA tickets) and following technology and business best practices.

What You'll Do. (Skills Used in this Position)

• Enable data-driven decision-making through innovative analytical solutions and models.
• Convey complex data concepts to technical and non-technical stakeholders.
• Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.
• Act as a liaison between personnel and the supporting infrastructure regarding business process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)
• Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.
• Develop and deploy models, utilizing techniques such as regression, classification, and clustering.
• Create interactive visualizations (e.g., Power BI, Streamlit) to effectively communicate data findings.
• Deploy data solutions in cloud environments (e.g., Azure, AWS).
• Utilize data warehousing technologies and platforms, such as Snowflake, to support analytics initiatives.

Compensation and Employment
This role requires authorization to work in the U.S. without current or future visa sponsorship. The expected base salary for this position is $125,000-175,000K per year depending on experience and qualifications. This role also qualifies for a bonus plan and full comprehensive employee benefits. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations. All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws.
TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible. At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity.