Software Engineer

Forward Deployed Engineer

Company:

Cognistack

Location:

Brooklyn, NY (On-site)

Employment Type:

Full-time

Salary:

$190,000 - $250,000/year

About the Role

We 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 Responsibilities

• Embed 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 Requirements

• 3\+ 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 \& Education

• Seniority:

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 Skills

• SQL \+ 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 Skills

• Can operate independently — scrappy, makes judgment calls on what’s deliverable without needing a PM to translate or prioritize.

How to Apply

If you have the required skills and experience, please send your resume (with details) to: [email protected]