Sr. Cloud Software Data Engineer

Job Title: Sr. Cloud Software Data Engineer
Location: Madison, Wisconsin (Hybrid) Hybrid: if live Madison 3-days week, over 50-mile radius - 2 days a week and in Chicago area in office in Madison - 1 day a week
Position Type: Direct Hire
Compensation Information - The expected salary range for this position is $125,000-175,000K per year, depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance, bonus potential, 401(k), and paid time off. committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations.

Overview
Sr. Cloud Software Engineer with our premier client. This is a direct hire role that is hybrid with in-office in Madison, WI.

This exciting opportunity to join our client's Data Services & Engineering Team in their efforts of supporting, implementing & 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. As well as 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 7 years of experience with data science, data analytics, investment analysis, or similar as a Software Engineer with cloud platforms (e.g., Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.
• Proficient in Snowflake, Python, SQL, or R for data manipulation, analysis, and model development.
• Create interactive visualizations (e.g., Power BI, Streamlit) to effectively communicate data findings.
• 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.
• 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 (CICD).
• Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.
• 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 investment 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 (e.g., Snowflake) to support analytics initiatives.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.