MMD Services is an early-stage startup focused on transforming transaction-level business data for private equity and M&A. The Data & AI Engineer will build technology platforms and data infrastructure to enable actionable insights and drive strategic decision-making.
Responsibilities:
- Build Transaction-Level Data Platforms
- Design and develop scalable cloud-based data environments
- Build automated data pipelines from ERP, CRM, payroll, and financial systems
- Create reusable onboarding frameworks and connector architectures
- Transform fragmented business data into a trusted source of truth
- Support multi-client data environments across varying industries and technology stacks
- Build AI-Powered Data Infrastructure
- Develop AI-assisted workflows for data cleaning and normalization
- Create intelligent monitoring and anomaly detection systems
- Leverage LLMs and AI tools to automate repetitive engineering tasks
- Explore agentic workflows that improve data quality and operational efficiency
- Evaluate emerging AI technologies and incorporate them into the platform
- Partner with Clients
- Lead technical onboarding for new client engagements
- Extract and organize historical transaction data
- Work directly with finance, operations, and IT stakeholders
- Solve complex data challenges in real-world business environments
Requirements:
- 3–7 years of Data Engineering experience
- Familiar with invoice-level transaction datacubes for private equity owned companies
- Strong SQL and Python skills
- Experience building and maintaining production-grade data pipelines
- Experience with Snowflake, Databricks, or similar cloud data platforms
- Experience with ETL/ELT tools such as Fivetran, Airbyte, or custom integrations
- Familiarity with Airflow, Prefect, Dagster, or similar orchestration tools
- Experience leveraging AI tools within engineering workflows
- Ability to thrive in a fast-paced startup environment
- The strongest candidate is likely someone who has built and analyzed transaction-level data environments for Private Equity Firms
- PE Portfolio Companies
- Transaction Advisory Firms
- Financial Diligence Teams
- Manufacturing & Distribution Businesses
- Revenue Analytics & Business Intelligence Teams