Company Overview

LP Analyst is the leading cloud-based private asset portfolio management analytics platform for institutional limited partners. We work closely with many of the industry's most prominent institutional investors and fund managers to get better, more actionable decision-making intelligence into the hands of today's demanding investors. Our firm sits at the intersection of private asset analytics and consulting and takes both a highly quantitative and qualitative approach to developing its cutting-edge solutions.

If you are a high achiever with a passion for contributing to the development of innovative technology while also being part of a strong, motivated and collaborative team of forward-thinking professionals, LP Analyst might be the right place for you.

LP Analyst encourages and promotes diversity within its team. Women, minorities, people with disabilities, veterans and members of all underrepresented groups are strongly encouraged to apply.

Job Summary

LP Analyst is seeking a highly motivated Data Engineer to join our growing team. In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and cloud infrastructure that support our analytics platform and business intelligence initiatives.

You will take ownership of building, maintaining and optimizing scalable data workflows using Azure and Microsoft Fabric, enabling high-quality data delivery across internal systems and client-facing tools. You will also contribute to key AI/ML initiatives, including preparing datasets, building models, and integrating outputs into production systems.

This is a high-impact opportunity for someone who is passionate about data engineering and excited to take initiative in developing cloud-native infrastructure and intelligent data solutions.

Key Responsibilities Design, build, and maintain efficient, scalable ETL/ELT data pipelines that ingest, transform, and integrate data from diverse sources Develop and manage data infrastructure within Azure and Microsoft Fabric, including data lakes, dataflows, and warehouse integrations Ensure the reliability, performance, and scalability of data systems that support business intelligence, reporting, and analytics platforms Collaborate with cross-functional teams to identify data requirements and ensure timely access to clean, structured, and well-documented data Support AI/ML initiatives by enabling feature extraction, preparing training datasets, and integrating models into production pipelines Assist in developing workflows for model deployment, monitoring, and version control Monitor and troubleshoot data workflows, ensuring system health and quick resolution of issues Document data pipeline logic, infrastructure design, and operational processes for internal transparency and maintainability Stay current with emerging technologies in data engineering, Microsoft Azure, Microsoft Fabric, and AI/ML infrastructure to support continuous improvement Qualifications and Skills Bachelor's degree in a relevant field, such as Computer Science, or a related discipline Strong proficiency in Python, including experience with Pandas for data manipulation and Spark for distributed data processing Advanced knowledge of SQL, with experience working with relational and non-relational databases Hands-on experience with Azure Data Factory (ADF) and Microsoft Fabric, including dataflow development, orchestration, and integration Experience building and maintaining scalable data pipelines and ETL/ELT workflows Familiarity with supporting machine learning pipelines and model deployment workflows Understanding of data governance, data quality, and security best practices in a cloud environment Experience with version control systems (e.g., Git) and CI/CD tools is preferred Strong problem-solving and analytical skills with attention to detail Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders Experience in financial services, asset management, or analytics platforms is a plus Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position. Why LP Analyst? Comprehensive onboarding and training programs, including a structured Private Asset Training Program and regular business/industry teach-ins Early opportunities for advancement for top-performing analysts Opportunity to build valuable professional skills early in your career, including communication, organization, and leadership, by working on a dynamic and growing team with cross-functional exposure Exposure to a wide range of strategies (private equity, venture capital, real estate, infrastructure, credit), with the opportunity to specialize in areas of interest High-impact role providing transparency to the world's leading institutional investors Collaborative, high-performing team culture with smart, supportive colleagues Company-sponsored 401(k) plan, healthcare, and dental insurance Competitive compensation and fully paid parental leave Generous paid time off that increases with tenure, plus an annual volunteer day Casual dress code, frequent team events, and a downtown Dallas office with paid parking, free snacks, and other perks