Data Engineering Pod (Manager & Engineer)
About The Engagement
We are assembling a dedicated data engineering pod to embed directly within a leading private equity firm's newly acquired portfolio companies. When this firm buys a business, the legacy data environment is typically unstructured and messy. This pod's mandate is to walk in during the critical post-merger integration phase, figure out what data matters most to the investment thesis, and build the pipelines to deliver it. We are hiring for two remote, US-based roles to form the foundation of this pod. Both roles require travel to the portfolio company for an initial six-week sprint before transitioning to a hybrid/remote model. This is a remote, consulting role designed for a long-term engagement, with the potential to build an offshore team as needed.
Data Engineering Manager (Pod Lead)
Contract rate: up to $150/hr
This is an active leadership seat that bridges commercial business logic, executive stakeholder partnership, and technical architecture. You will define the data strategy against the value creation plan and push back on portfolio company C-suites when they prioritize the wrong fixes.
Requirements
- 5+ years of data architecture or technical strategy experience (or equivalent)
- Foundational experience at an MBB or Big Four consulting firm
- Executive presence to manage portfolio company leadership
- Technical depth to unblock engineers
- Preferably with experience in MDM (Master Data Management) and/or direct experience working on private equity post-merger integrations or value creation plans
Data Engineer
Contract rate: up to $100/hr
This is the technical engine of the pod. You will focus entirely on execution: building the pipelines, untangling legacy systems, and writing the code required to turn disparate data into reliable commercial insights. This is a heads-down builder seat, not a client management role.
Requirements
- 3+ years of hands-on experience in data engineering or data architecture, or equivalent experience
- Deep proficiency in SQL, Python, and modern cloud data stacks
- Track record of delivering repeatable data processes and pipelines from scratch in messy data environments