Data Engineer

Company Overview

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm that works closely with many of the industry's most prominent institutional investors (LPs) and fund managers (GPs) to get better, more actionable decision-making intelligence into the hands of today's demanding investors.

Our firm truly sits at the intersection of private asset analytics and consulting which means we take both a highly quantitative and qualitative approach to tackling big challenges and developing cutting-edge solutions for our clients. For our analyst team, this means not only getting into the details when working with large amounts of private asset data across a wide range of strategies but also an opportunity to synthesize this information, through the firm's proprietary reporting and analytics platform, for key decision makers at our clients' investment programs, including private asset class leads and chief investment officers.

If you are a high achiever with a passion for learning about the private asset analytics and consulting landscape while also being part of a strong, motivated and innovative 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

Why LP Analyst?