Petra Funds Group
Posted 5 days agoVerified live 1d ago
Data Engineering Manager
Brief overview
Remote
MastersOr in progress
$122k–$183k/yrStated range
4+ yrsMinimum
1 H-1B approvalsDept. of Labor
SQLPythonSFTPREST/API IntegrationMicrosoft 365Data Engineering
About the company
Petra Funds Grouppetrafundsgroup.com
A finance firm focused on fund operations and debt management.
Visa sponsorship history
1 year sponsoring, last filed FY2024
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.1H-1B approved
100%approval rate
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20241
Job description
Summary
Petra Funds Group provides fund administration and fund infrastructure services for private equity and debt funds. The Data Engineering Manager supports PetraTech by building, maintaining, and owning data integrations, process automations, and the firm’s core Snowflake data platform. The role also troubleshoots and continuously improves production data processes across the organization.
Responsibilities
- 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
Skills
- Degree in Computer Science, Data Science, Engineering, Statistics or equivalent
- 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
- Ability to work independently, owning a portfolio of production processes with limited supervision
- Master's/PhD desirable but not required
- Snowflake exposure a plus, not required
- Financial services or fund administration experience a plus, not required
Qualifications
Must Haves
- Degree in Computer Science, Data Science, Engineering, Statistics or equivalent
- 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
- Ability to work independently, owning a portfolio of production processes with limited supervision
Nice to Haves
- Master's/PhD desirable but not required
- Snowflake exposure a plus, not required
- Financial services or fund administration experience a plus, not required
Benefits
- 90% covered medical, dental, and vision insurance premiums
- Fully funded Health Savings Account (HSA) employer contributions up to the IRS maximum — available to employees enrolled in our high-deductible health plan.
- 401(k) employer match at 100% of your contributions up to 5% of compensation, with immediate vesting
- Flexible paid time off
- Generous holiday calendar
- Hybrid work environment that offers flexibility and supports work-life balance.
- Funded amount is prorated for new hires.
