Data Engineer

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Insight Global. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

Job Description

A top financial service client is seeking an Associate to join the Investment Infrastructure and Technology team. The role is focused on designing, building, and optimizing core technology infrastructure that powers applications and tools used by front-office professionals, executives, and other internal business units. Key areas include data warehouse, database management, application development, reporting systems, and ad-hoc initiatives that support business operations. The position offers significant opportunities to apply modern technologies and innovative solutions to drive operational efficiency. The candidate will contribute to system integration efforts and data pipeline development, enabling seamless connectivity between enterprise systems and the data warehouse. The candidate will develop and maintain reports and dashboards related to the firm’s investment portfolio, and act as a technical liaison across all departments and affiliated business partners. The ideal candidate has an entrepreneurial personality with a strong ownership mentality, technical background, and the ability to handle multiple, ongoing projects

Responsibilities Include

• Manage Snowflake infrastructure for efficient data warehousing, including real-time change data capture (CDC) to support data and reporting needs
• Design and implement internal application and automation solutions, including LLM enabled agents, to streamline workflows across investment verticals and operational teams
• Develop and maintain internal dashboards and reporting tools that support data-driven decision-making by senior leadership
• Design and integrate pipelines into the data warehouse for reporting and analytics
• Contribute to the creation and enforcement of standardized, systematic processes and best practices
• Collaborate cross-functionally with Portfolio Analytics, Originations, Underwriting, Investor Relations, Operations, Finance, and Marketing teams on data requests and special projects
  
  

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills And Requirements

• 2-5 years of relevant professional experience in investment management, financial operations, or related industries (Fixed Income or Alternatives preferred)
• Bachelor’s or Master’s degree in Computer Science with a data engineering background.
• Proficient in SQL and Python, with experience using libraries such as pandas for data wrangling and practical experience integrating and consuming APIs
• Strong familiarity with Snowflake, SQL Server, PowerBI or Tableau, and AI tools and concepts
• Background in financial services
• Strong interpersonal and communication skills - Experience working at firms specializing in private credit, private equity, and junior capital investments.
• Direct experience developing applications or tools with AI
  
  

If you have questions about this posting, please contact support@lensa.com