Data Engineer

Join Hamilton Lane, a global leader in private markets, as we scale to meet the demands of our growing client base. Here, you’ll work with ambitious, high‑performing teams built on integrity, candor and collaboration, backed by our market‑leading data and technology. We invest heavily in our people and our partners, giving you the platform to enrich lives, safeguard futures and grow your career. What We Do As one of the largest private markets investment firms globally, we provide innovative solutions to institutional and private wealth investors around the world, specializing in flexibility and full-spectrum access. We currently employ approximately 800 professionals operating in offices throughout North America, Europe, Asia Pacific and the Middle East, and have $1.0 trillion in assets under management and supervision, composed of $146.1 billion in discretionary assets and $871.5 billion in non-discretionary assets, as of December 31, 2025. The Opportunity We are seeking a talented ETL Data Engineer with strong experience in Python and Azure Synapse Analytics to join our dynamic team. As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining ETL data integration processes primarily using Python (PySpark), Azure Synapse Analytics Pipelines, and other Azure Synapse Analytics resources, ensuring the accuracy and availability of data for our analytical needs. You will work closely with data scientists, analysts, and other stakeholders to deliver high‑quality, well organized data for insights and decision‑making. If you are passionate about data, have a strong background in ETL processes, and are eager to work with state‑of‑the‑art Azure data solutions, we’d love to hear from you! Your responsibilities will be to: ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading. Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool. Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files. Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance. Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities. Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements. Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency. Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs. Monitoring and Troubleshooting: Monitor ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability. Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations. Collaboration: Work closely with cross‑functional teams to understand data requirements and provide support for data‑related initiatives. Security and Compliance: Ensure data security and compliance with data governance and privacy standards. Your background will include: Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus. Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files. Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault. Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data. Knowledge of data integration best practices and tools. Experience with version control systems, such as Git (Azure DevOps). Strong problem‑solving and analytical skills, with a keen attention to detail. Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities. Familiarity with big data technologies, machine learning, and data analysis preferred. Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus. Benefits At Hamilton Lane, our benefits philosophy is simple: to provide our employees with a competitive suite of benefits and services to help navigate through the complexities and challenges of working, living, raising a family, and eventually retiring. Enhancing Your Physical and Emotional Health Employees have access to healthcare coverage, mental health resources, health & fitness reimbursement program, and Wellness Rewards Program. Developing Your Career Tuition and certification reimbursement programs are available, along with continual education and development trainings for you to grow with Hamilton Lane. Supporting Your Family & Community For our communities, Hamilton Lane provides paid time off to volunteer and compensates for referring qualified candidates that join our team. For growing families, we offer an adoption reimbursement program, paid time off for new parents and newlyweds, and provide travel support for nursing parents. Safeguarding Your Financial Wellbeing Hamilton Lane contributes to retirement programs and offers an employee stock purchasing plan. EEO Statement Hamilton Lane is an affirmative action‑equal opportunity employer. All qualified applicants will be considered for employment without regard to their race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law. If you need a reasonable accommodation to complete your application, please contact Human Resources at View email address on click.appcast.io. #J-18808-Ljbffr