Associate Engineer, Investment Data & Analytics (Fintech)

Location: Boston, United States; hybrid work arrangement. Receive 18 remote workdays per quarter with manager approval.

Base salary: $155,000–$165,000 per year, plus discretionary annual bonus and potential long-term rewards.

Company

hirify.global is a global investment firm focused on private markets, fund management, and technology-driven investment processes.

What you will do

• Build, test, and deploy pipelines and transformations across financial and economic datasets.
• Develop and operate production data workflows, including monitoring, troubleshooting, alerting, logging, and CI/CD testing.
• Create data validation and reconciliation checks, track pipeline health through KPIs, and lead root-cause analysis for data issues.
• Collaborate with data engineering, DevOps, application, and investment teams to clarify requirements and deliver documented solutions.
• Analyze data to support investment model research and identify manual processes suitable for automation.

Requirements

• Demonstrated experience in data engineering and analysis, including data-centric testing and deployment of FinTech applications.
• Proficiency in SQL, including MSSQL or an equivalent relational database, and Python.
• Experience building ETL pipelines for large datasets.
• Experience with DBT and Azure Data Factory and Pipelines.
• Strong analytical, organizational, and problem-solving skills, attention to detail, interest in financial markets, and comfort with Scrum or Agile SDLC environments.
• Bachelor’s or master’s degree in Computer Science or an equivalent field; 3–5 years of data engineering or data operations experience preferred.

Nice to have

• Exposure to Snowflake, Microsoft Synapse, or Power BI.
• Experience with private equity or investment management data.
• Experience partnering with product, application, and operations teams.

Culture & Benefits

• Collaborative, open-door culture with an emphasis on diversity, inclusion, and innovative thinking.
• Opportunities to build expertise in private-markets data and take on progressively more complex ownership.
• Potential benefits include retirement programs, health and insurance coverage, paid time off, and wellness programs.
• Compensation includes a discretionary annual bonus based on individual and firm performance.