Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 3–6 years of experience in private equity, focusing on the Chronograph platform. Contract length is unspecified, with a pay rate of "unknown." Key skills include SQL, Python, and cloud data platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Boston, MA
-
🧠 - Skills detailed
#Cloud #Azure #Data Accuracy #Scripting #Data Quality #SQL (Structured Query Language) #Strategy #Scala #Snowflake #Computer Science #Data Engineering #Microsoft Power BI #dbt (data build tool) #Tableau #Looker #Python #Programming #Automation #Data Warehouse #Data Architecture #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Airflow #BI (Business Intelligence) #Fivetran #"ETL (Extract #Transform #Load)" #Redshift #Data Pipeline
Role description
NO C2C
We are looking for a Data Engineer to support our private equity analytics and reporting ecosystem with a focus on the Chronograph platform. This role will design and maintain data pipelines that feed investment performance, fund cash flows, and portfolio company metrics into Chronograph and related systems. You will partner with investment, operations, and investor relations teams to ensure the reliability, scalability, and automation of our private equity data infrastructure.
Key Responsibilities
• Build and maintain ETL/ELT pipelines to ingest, clean, and transform data from administrators, GPs, custodians, and internal systems into Chronograph.
• Develop integrations between Chronograph, data warehouses (Snowflake, Redshift, or similar), and BI/reporting tools (Power BI, Tableau, etc.).
• Automate recurring reporting workflows to improve data accuracy and timeliness.
• Collaborate with private equity finance and investment teams to understand fund structures, cash flows, valuations, and performance metrics.
• Implement data quality controls, validation checks, and reconciliations to ensure reporting accuracy.
• Partner with investor relations to deliver standardized and custom LP reporting through Chronograph.
• Contribute to the overall data architecture strategy for private equity analytics, ensuring scalability and adherence to industry standards (e.g., ILPA reporting).
Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Finance, or related field.
• 3–6 years of experience as a Data Engineer, ideally within private equity, asset management, or financial services.
• Strong experience with Chronograph or similar platforms (eFront, iLEVEL, Burgiss, Aladdin, etc.).
• Proficiency in SQL and at least one programming/scripting language (Python preferred).
• Experience with cloud data platforms (AWS, Azure, or GCP) and data pipelines (Airflow, DBT, Fivetran, etc.).
• Familiarity with private equity performance metrics (IRR, MOIC, DPI, TVPI) and fund structures.
• Knowledge of BI/reporting tools (Power BI, Tableau, Looker) a plus.
• Excellent problem-solving skills, attention to detail, and ability to work with both technical and non-technical stakeholders.
NO C2C
We are looking for a Data Engineer to support our private equity analytics and reporting ecosystem with a focus on the Chronograph platform. This role will design and maintain data pipelines that feed investment performance, fund cash flows, and portfolio company metrics into Chronograph and related systems. You will partner with investment, operations, and investor relations teams to ensure the reliability, scalability, and automation of our private equity data infrastructure.
Key Responsibilities
• Build and maintain ETL/ELT pipelines to ingest, clean, and transform data from administrators, GPs, custodians, and internal systems into Chronograph.
• Develop integrations between Chronograph, data warehouses (Snowflake, Redshift, or similar), and BI/reporting tools (Power BI, Tableau, etc.).
• Automate recurring reporting workflows to improve data accuracy and timeliness.
• Collaborate with private equity finance and investment teams to understand fund structures, cash flows, valuations, and performance metrics.
• Implement data quality controls, validation checks, and reconciliations to ensure reporting accuracy.
• Partner with investor relations to deliver standardized and custom LP reporting through Chronograph.
• Contribute to the overall data architecture strategy for private equity analytics, ensuring scalability and adherence to industry standards (e.g., ILPA reporting).
Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Finance, or related field.
• 3–6 years of experience as a Data Engineer, ideally within private equity, asset management, or financial services.
• Strong experience with Chronograph or similar platforms (eFront, iLEVEL, Burgiss, Aladdin, etc.).
• Proficiency in SQL and at least one programming/scripting language (Python preferred).
• Experience with cloud data platforms (AWS, Azure, or GCP) and data pipelines (Airflow, DBT, Fivetran, etc.).
• Familiarity with private equity performance metrics (IRR, MOIC, DPI, TVPI) and fund structures.
• Knowledge of BI/reporting tools (Power BI, Tableau, Looker) a plus.
• Excellent problem-solving skills, attention to detail, and ability to work with both technical and non-technical stakeholders.
