Data Engineering Manager

Petra Funds Group is a single source provider for the fund administration and fund infrastructure needs of Private Equity and Debt Funds. At Petra, we enable fund managers to focus on the tasks that add the most value to their businesses and leave the rest to us.

Petra is made up of highly experienced professionals across the US and Europe. In a business where accuracy and timeliness are paramount, having a deep bench who have spent years working inside of asset managers is what truly differentiates us.

Our foundation is built on trust, experience, and uncompromising accuracy. Our people are experts. We work collaboratively. We are relentless in our process and put attention to detail first.

The Data Engineer is a full-time, dedicated resource supporting PetraTech, the firm's internal technology function, across recurring data integration, process automation, and our core data platform. The role builds, supports, and owns many of these processes end to end, supporting automations at various touchpoints within the firm. Location is open and fully remote, with a preference for candidates on the East Coast; availability during U.S. business hours is required.

• →Support and maintain automated daily data flows between many of our systems that feed into our core fund accounting platforms via API
• →Support the automation of ongoing reconciliations between our document management platforms and our fund accounting systems, including extraction, processing, and booking of incoming records from various sources
• →Set up and maintain automated daily API feeds from source systems into our portfolio and investment accounting platforms
• →Support our core Snowflake data platform: pipeline development, data quality, and integration work as new source systems come online
• →Design and maintain general SQL/Python-based process automation across a Microsoft 365 environment
• →Own the outcome, not just the build: troubleshoot, maintain, and continuously improve these processes once in production

• Degree in Computer Science, Data Science, Engineering, Statistics or equivalent. Master’s/PhD desirable but not required
• 4+ years professional experience in data science/data engineering/ML engineering
• Demonstrated experience utilizing SQL and Python
• Hands-on experience automating file and data transfer via SFTP and REST/API integration
• Comfortable working across a Microsoft 365 environment
• Snowflake exposure a plus, not required
• Financial services or fund administration experience a plus, not required
• Ability to work independently, owning a portfolio of production processes with limited supervision

We’re proud of many milestones, but we’re especially honored by the recognition we’ve received for our workplace experience: 

• Certified Great Place to Work®, based on direct feedback from our employees about trust and overall culture. 
• Fortune Best Medium Workplaces™ and Best Financial Services & Insurance Workplaces™, highlighting our commitment to building an environment where people thrive.