Forward Deployed Engineer

Forward Deployed Engineer Company: Cognistack Location: Brooklyn, NY (On-site) Employment Type: Full-time Salary: $190,000 - $250,000/yearAbout the RoleWe are looking for a Forward Deployed Engineer with 3–5 years of experience to own technical onboarding end-to-end for Minerva’s marquee brand customers — from the NBA and Capital One to fast-growing D2C companies. You are a data engineer who understands business logic: someone who can walk into a customer’s messy data ecosystem, figure out exactly what to ingest, build the pipelines, and get a brand to real value in days — not months.Key ResponsibilitiesEmbed with customers to understand their full data stack (CRM, web/app events, data warehouses, raw systems like Salesforce and Klaviyo) and determine the right data to ingest into Minerva’s platform.Build and run data pipelines that unify a brand’s first-party data into a single, clean data asset that Minerva’s AI agents operate on top of.Handle custom data engineering work per customer (e.g., point-in-time transformations, deduplication, validation) to ensure data accuracy before it hits a dashboard.Partner with the sales team to scope pilots, define success metrics, and translate Minerva’s offering into concrete business outcomes for CMOs and RevOps leaders.Systemize and abstract patterns from each deployment into reusable pipelines and playbooks — building the foundation for Minerva to scale with agents instead of headcount.Key Requirements3+ years of analytics engineering or data engineering experience — you own the full path from raw source data to trusted, production-ready models.Strong command of a transformation framework (dbt, SQL Mesh, or equivalent) and SQL fluency; experience with an orchestration tool (Dagster, Airflow, Prefect) is a strong plus.Experience working with messy, real-world marketing data stacks — CRMs, event data, data warehouses, and SaaS tools like Salesforce, Shopify, or Klaviyo.Customer-facing experience — you can operate independently alongside a sales team, scope what’s deliverable, and communicate clearly with both technical and executive stakeholders.Based in New York and able to work fully on-site in Williamsburg, 5 days a week.Experience & EducationSeniority: 3–5 years of experience in data engineering or analytics engineering, with SQL/dbt experience and customer-facing deployment experience preferred.Archetype A: Data engineer / data scientist / analytics engineer — 2+ years owning end-to-end pipelines with scalability and understands business logic.Archetype B: Technical solutions architect or FDE with DE background — customer-facing, supports alongside an AE, writes production code.Experience: Working directly with marketing leaders to scope pilots and demos; experience at a startup or growth-stage company.Education: Technical degree or equivalent; top university is a strong nice-to-have.Hard SkillsSQL + dbt (or SQLMesh) proficiency.Worked with messy, complex data across multiple systems (CRM, web/app events, raw production data).Orchestration tool experience — can operate Dagster, Airflow, Prefect, or equivalent (configure and debug pipelines independently).Experience with marketing/sales modeling (lead scoring, attribution, LTV, or lead routing).Soft SkillsCan operate independently — scrappy, makes judgment calls on what’s deliverable without needing a PM to translate or prioritize.How to ApplyIf you have the required skills and experience, please send your resume (with details) to: skumar@cognistack.co