---
title: 'Data Engineer at Careerswift'
canonical: 'https://feeny.ai/job/data-engineer-careerswift-united-states-yzybyffrnqw1'
type: 'job'
last_seen: '2026-09-13'
---

# Data Engineer at Careerswift

- **Company:** Careerswift
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/careerswift.ai/a1906606-4a24-4c24-8526-9d7f9f2a8201

## Job description

CerebriOS is a software company building B2B SaaS products that help businesses make better decisions, streamline operations, and get more value from their data. Our products combine practical business workflows with intuitive technology designed for everyday use. You will join the engineering team behind our new mid-market analytics platform, building the data foundations that power reporting, dashboards, and product insights. You will work across data pipelines, integrations, and storage, helping turn data from different sources into reliable, well-structured information that customers and internal teams can use with confidence.

## WHAT YOU WILL DO

- Design, build, and maintain reliable data pipelines for the analytics platform
- Develop data ingestion and transformation processes for multiple data sources
- Work with backend engineers and analysts to define data structures that support reporting and analytics use cases
- Improve data quality, consistency, and reliability across the platform
- Build and optimize SQL-based data transformations and workflows
- Monitor data pipelines and investigate failures, performance issues, and unexpected data behavior
- Contribute to data architecture and help establish scalable practices as the platform grows
- Document data models, pipelines, and important business logic so others can work confidently with the data
- Collaborate with product and engineering teams to understand how data should support new product capabilities

## WHAT WE ARE LOOKING FOR

- 3+ years of professional experience in data engineering or a closely related role
- Strong SQL skills and experience working with relational databases
- Hands-on experience building and maintaining data pipelines
- Experience with Python or another language commonly used for data engineering
- Understanding of data modeling, ETL/ELT processes, and data quality practices
- Experience working with cloud-based data infrastructure
- Strong troubleshooting and analytical skills
- Ability to explain technical decisions clearly and collaborate with engineers, analysts, and product stakeholders
- Comfortable working independently in a remote, cross-functional environment

## NICE TO HAVE

- Experience with AWS or GCP
- dbt, Airflow, Dagster, or similar data tooling
- Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift
- Experience working with APIs and third-party data integrations
- Familiarity with analytics, reporting, or business intelligence products
- Previous B2B SaaS experience
- Experience working with large or rapidly changing datasets

## COMPENSATION AND BENEFITS

Compensation will be discussed during the interview process and determined based on experience, technical expertise, and overall fit for the role. CerebriOS offers a remote-first working environment, professional development opportunities, and a benefits package designed to support our team. Full details of compensation, benefits, and other employment terms will be discussed during the interview process.

## HIRING PROCESS

Application review → introductory conversation → technical discussion → conversation with the team → offer. We aim to keep the process focused and respectful of your time, with clear communication throughout the process.

## EQUAL OPPORTUNITY

CerebriOS is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

Location: Remote Salary Range: 105,000 - 140,000 USD (gross, annually)

## About Careerswift

## Company Overview
- **One-liner**: Careerswift is an AI-first recruitment automation platform that automates candidate screening, interviewing, and evaluation for growing companies.
- **Entity Type**: Private (Bootstrapped/Early Stage)
- **Headquarters**: Warsaw, Poland
- **Founded**: 2025
- **Founders**: Alex Nosik (CEO), Rodion Lozovoi (CTO), Dmytro Ivanchuck (CMO)

## Core Business
- **Primary industry**: HR Technology / Recruiting Software / Artificial Intelligence
- **Target customers**: B2B — growing companies looking to scale hiring without increasing HR headcount
- **Mission/purpose**: Eliminate manual resume review and outdated keyword-based filtering by using context-aware AI agents to structure and enrich every applicant, creating a continuously improving talent pool.

## Products & Services
- **Careerswift Platform (AI Recruitment Automation)**: An AI-first platform that automates candidate screening, interviewing, and evaluation. Uses context-aware AI agents to replace manual resume review and keyword filtering. Every applicant is structured and enriched by AI, building a continuously improving talent pool.
- **AI Resume Builder & Job Search Tools (Consumer Side)**: A complementary suite for job seekers including AI resume optimization (ATS-friendly templates, LinkedIn-to-resume conversion), smart job application tracking, AI cover letter generation, AI-powered interview practice, and a Chrome extension for 1-click job applications.

## Market Standing
- **Valuation**: Not publicly available (early-stage private company)
- **Key Metric**: Total funding not disclosed (appears bootstrapped or pre-seed); monthly web traffic of ~26,300 visits with +872.6% monthly growth
- **Notable Investors/Partners**: Not publicly disclosed
- **Growth Signals**: Headcount grew +300% YoY (from ~2 to 6 employees); monthly website traffic growing nearly 9x month-over-month; global rank #999,287 with 64% of traffic from the United States; active job postings for engineering roles indicate scaling phase

## Competitive Advantages
- **Dual-sided platform**: Serves both employers (recruitment automation) and job seekers (resume/job search tools), creating potential network effects
- **AI-first architecture**: Uses context-aware AI agents rather than keyword filtering, which is a more sophisticated approach than traditional ATS systems
- **Rapid early traction**: Extremely high traffic growth (+872.6% monthly) suggests strong product-market fit in early stages
- **Lean, experienced team**: Small team (6 people) with C-level executives across CEO, CTO, and CMO — all hands-on

## Strategic Focus
- **Scaling the engineering team**: Currently hiring for Senior Full-Stack Engineer, Senior Data Engineer, Mid/Senior Platform Engineer, and Frontend Developer — indicating a push to build out core product and data infrastructure
- **Product expansion**: Continuously adding new features (job tracking, interview practice, auto-apply) with a "coming soon" pipeline
- **Geographic expansion**: Presence in Poland, Ukraine, Spain, UK, and US (San Francisco office) — building a distributed team
- **Enterprise readiness**: Building multi-tenant data infrastructure, RBAC/RLS security, and embedded BI for enterprise-scale analytics

## Why Work Here
- **Remote-first culture**: Roles listed as "Remote" or "Hybrid" with flexibility; San Francisco office available but not required
- **Early-stage impact**: Join a company founded in 2025 with only 6 employees — opportunity to shape product, culture, and technical direction from near the ground floor
- **Modern tech stack**: React, TypeScript, Python (FastAPI/Django/Flask), Node.js (Next.js/Nest.js), PostgreSQL, AWS, OpenAI, Hugging Face, dbt, Vercel — cutting-edge AI and cloud-native tools
- **AI-first engineering**: Work on context-aware AI agents, real-time data ingestion, OLAP optimizations, and LLM-powered features
- **Growth trajectory**: Company is in hypergrowth phase (traffic up 872% monthly, headcount up 300% YoY) — strong potential for career acceleration
- **Lean team culture**: With only 6 people, engineers will have broad ownership and direct impact on product decisions

## Sources
1. [careerswift.ai](https://careerswift.ai/)
2. [LinkedIn - Careerswift](https://www.linkedin.com/company/careerswift-ai)
3. [Built In - CareerSwift Teams](https://builtin.com/company/careerswift/teams)
4. [Ashby Careers Page](https://jobs.ashbyhq.com/careerswift.ai/8f38501e-ad8d-4550-8a2d-a904ee6f8163)
5. [We Work Remotely - Careerswift](https://weworkremotely.com/company/careerswift)

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