---
title: 'Senior Data Engineer at Cohort AI Inc.'
canonical: 'https://feeny.ai/job/senior-data-engineer-cohort-ai-inc-naperville-yzmn9fxq3nwr'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Data Engineer at Cohort AI Inc.

- **Company:** Cohort AI Inc.
- **Location:** Naperville, IL
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/cohort/f0d99eb2-f5ce-43d6-877b-54560816cec2

## Job description

At Cohort AI, We’re looking for a Senior Data Engineer to help build and scale the data infrastructure behind our platform. You’ll work hands-on with large and complex healthcare datasets, develop reliable data pipelines, and collaborate closely with Data Science, Clinical Informatics, Product, and Infrastructure teams.

This is an opportunity for an experienced data engineer who enjoys solving challenging data problems, building production-quality systems, and working in an environment where healthcare data and AI come together.

## WHAT YOU’LL DO

- Design, build, and maintain scalable, reliable data pipelines.
- Develop high-performance ETL/ELT workflows using SQL, Python, PySpark, and Apache Spark.
- Work with complex healthcare datasets, including clinical and claims data.
- Build ingestion and transformation workflows that are reliable, maintainable, and scalable.
- Develop and improve data quality, monitoring, alerting, and observability solutions.
- Troubleshoot and resolve production data pipeline issues using Linux and shell-based tools.
- Optimize data processing performance and cloud infrastructure costs.
- Apply strong engineering practices around code quality, testing, version control, and CI/CD.
- Contribute to data modeling, data warehousing, and distributed data architecture decisions.
- Work closely with Data Science, Clinical Informatics, Product, Infrastructure, and Commercial teams to translate requirements into effective data solutions.
- Support customer onboarding and complex data integration initiatives.
- Participate in design and code reviews and contribute to improving engineering practices.
- Help identify opportunities to improve the scalability, reliability, and efficiency of our data platform.

## WHAT YOU BRING

- 5+ years of professional Data Engineering experience.
- Strong SQL skills and experience working with large datasets.
- Strong hands-on experience with Python and PySpark.
- Experience working with Apache Spark and distributed data processing.
- Hands-on experience with modern data platforms such as Databricks, Snowflake, BigQuery, Redshift, or similar technologies.
- Experience designing and operating production-grade ETL/ELT pipelines.
- Strong understanding of data modeling, data warehousing, and distributed data systems.
- Solid Linux command-line experience, including bash and shell scripting.
- Experience implementing data quality, monitoring, and alerting frameworks.
- Experience with Git and CI/CD.
- Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.

## NICE TO HAVE

- Experience working with healthcare data and standards such as OMOP, FHIR, HL7, ICD, CPT, claims, EHR/EMR, or related datasets.
- Experience with AWS, GCP, or Azure.
- Experience working with large-scale distributed systems.
- Familiarity with Airflow, Dagster, Prefect, or similar workflow orchestration tools.
- Exposure to Generative AI, LLMs, or AI-enabled data applications.
- Experience working in healthcare, life sciences, health technology, or a data-intensive environment

## About Cohort AI Inc.

## Company Overview
- **One-liner**: Cohort AI is an AI-driven hiring engine that delivers pre-vetted, top-tier technical talent to fast-growing startups in days.
- **Entity Type**: Private (assumed bootstrapped or early-stage; no funding rounds publicly disclosed)
- **Headquarters**: Naperville, United States (with remote presence in India and Australia)
- **Founded**: 2024 (domain created September 2024)
- **Founders**: Not publicly named (company built by operators who previously scaled a hiring engine at Egen)

## Core Business
- Primary industry: AI-powered recruiting / talent acquisition technology
- Target customers: Startup founders, hiring managers, and VC-backed teams (B2B)
- Mission: “Hire unicorn talent fast” – eliminate hiring drag and deliver elite candidates at lightning speed

## Products & Services
- **SPEC (AI Recruiting Agents)**: A full-stack team of four AI agents:
  - **Sally the Sourcer**: Scans 5M+ profiles across LinkedIn, GitHub, and proprietary datasets to fill the pipeline.
  - **Pete the Prospector**: Turns cold leads into warm conversations via personalized, scalable outreach.
  - **Eva the Evaluator**: Runs technical assessments, resume reviews, and coding challenges to shortlist top-fit talent.
  - **Charlie the Closer**: Handles final interviews, offer logistics, and onboarding to reduce drop-off risk.
- **Service Model**: Cohort acts as a talent delivery engine – not a marketplace. Customers pay for results (top 3 pre-vetted engineers delivered in 72 hours), not activity.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metrics**: 
  - Revenue: Not publicly available (likely pre-revenue or early traction)
  - Total Funding: Not publicly disclosed (company claims “no pitch decks”)
  - Team size: ~11 employees (LinkedIn)
  - Monthly web traffic: ~5,000 visits (thecohort.ai)
- **Notable Investors/Partners**: None publicly mentioned
- **Growth Signals**: 
  - Launched publicly in late 2024 with a product built from first principles.
  - Recruiting for multiple senior remote roles across engineering, marketing, and data (indicates scaling).

## Competitive Advantages
- **Speed**: Delivers top 3 candidates in under 72 hours vs. traditional 6-week processes.
- **Full-stack AI agents**: Cover sourcing, prospecting, screening, and closing – fully automated.
- **Outcome-based pricing**: Pay only for delivered, pre-vetted candidates; no subscription or per-activity fees.
- **Built by operators**: Founders previously built and scaled hiring engines for high-growth tech companies (e.g., Egen), giving them firsthand insight into hiring pain points.
- **Precision targeting**: AI scores candidates on skills, culture fit, and trajectory, learning from hiring team decisions.

## Strategic Focus
- Continue expanding the SPEC agent platform and improving accuracy.
- Scale the team to support increasing demand from startups.
- Maintain a remote-first, global hiring approach (US, India, Australia, and remote-anywhere roles).

## Why Work Here
- **Remote-first culture**: Most roles are fully remote (US or India), with flexible location options.
- **AI-first engineering**: Opportunity to build production-grade AI systems and data pipelines from scratch.
- **Tight-knit team**: Small (~11 people), flat structure, high ownership.
- **Impact**: Shape a product that directly solves a critical pain point for startups.
- **Values**: “No fluff. No pitch decks. Just results.” – fast-paced, execution-oriented environment.
- **Tech stack**: Python, SQL, Google Cloud, AWS Lambda, Docker, PostgreSQL, Elasticsearch, GitHub Actions, microservices.

## Sources
1. [thecohort.ai](https://www.thecohort.ai/)
2. [LinkedIn - Cohort AI](https://www.linkedin.com/company/thecohortai)
3. [Cohort AI Inc. Careers (Ashby)](https://jobs.ashbyhq.com/cohort)
4. [The Org - Cohort AI](https://theorg.com/org/cohort-ai)
5. [Torre - Cohort AI Inc.](https://torre.ai/teams/CohortAIInc)

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