Cortex
Senior Data Engineer
Remote. The employer does not say where candidates may be based.
Location not stated
Employer listed it 6 weeks ago · Added yesterday
Been open since 6 weeks ago, still being checked, but it has been live a while.
Salary
$175,000 to $205,000
Location
Location not stated
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
Stated by the employer in the job description
Remote flexibility
Undisclosed
The listing is advertised as remote but does not state which countries or regions candidates may work from.
Why this role is Undisclosed
We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.
- Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
- Whether the work is remote: Never mentioned. The role reached us through a remote job board, but the advert itself doesn't say the work is remote.
- Working hours: Not stated. No timezone overlap or set hours are mentioned, so assume nothing either way.
Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.
What the employer says
- Source listing states candidate location: "Remote"
What Nomaders makes of it
- No residency or region requirement found in the job description
- Check with the employer before assuming you can work from abroad
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
🧠 About Cortex Cortex is the Engineering Operations Platform - mission control for the AI software factory. As AI multiplies how much teams ship, code stops being the bottleneck and everything around it becomes the constraint. Cortex gives engineering organizations the visibility, governance, and golden paths to move fast without runaway risk to reliability and security - across Catalog and Context Graph, Scorecards, Engineering Intelligence, Self-Service and Workflows, and AI Impact. We're a YC company, SOC 2 Type II and ISO/IEC 27001 certified, used by teams like Rapid7, Xero, BigCommerce, Skyscanner, LetsGetChecked, and H&R Block. AI-augmented engineering is the floor here, not a side experiment - Cortex engineers build on Cortex every day. 📍Location We’re fully remote and welcome candidates from anywhere in the US! We have all-company offsites a few times a year where we fly the whole team out to meet in person, build stronger relationships, kick off important projects, and have fun! 🤝 The Team We are a mighty group of 80 passionate individuals excited about building a product that developers love. We recently raised $60M in Series C Funding this year led by Scale Ventures (with participation from Sequoia, IVP, and others) to build the Future of Developer Experience. You can read more about it here . 💼 Role Summary As a Senior Data Engineer , you’ll own our internal data systems and pipelines. You will be responsible for the ingestion, transformation, and warehousing that power reporting across the company - consolidating a stack currently spread across Segment, Hevo, BigQuery, and Omni into a single, trustworthy source of truth, and laying the foundation for higher-volume data work as we grow. You'll partner closely with GTM operations to ensure our AI-driven automation & tools areis built on accurate, well-modeled data, including you'll own product analytics. 🛠️ Responsibilities
Own data pipelines end to end - ingestion, transformation (dbt), warehousing (BigQuery), and delivery into reporting and BI (Omni)
Audit and map the existing data systems before rebuilding, then consolidate the stack toward a single source of truth
Build and maintain dbt models and transformation logic with tests, documentation, and clear contracts
Establish data quality, observability, and reliability practices so pipelines are maintained intentionally rather than reactively
Own product analytics: instrumentation and event tracking, data models for usage and adoption, and the metrics GTM and product teams rely on
Partner with GTM operations to consolidate reporting into a single tool and ensure we have the right data foundations for AI automation and tools.
Support research for external reports (e.g. the Engineering in the Age of AI benchmark report), partnering with marketing to source, validate, and pull the right data
Lay the groundwork for high-volume and streaming ingestion (e.g. telemetry / OpenTelemetry) as the product moves that way
✔️Qualifications
Bachelor's degree in Computer Science or related field, or equivalent practical experience
4+ years of hands-on data engineering experience building and owning production pipelines
Proficiency with dbt, a cloud data warehouse (BigQuery or equivalent), and ETL/ELT tooling
Strong SQL and proficiency in a general-purpose language (e.g. Python) for pipeline and transformation work
Solid data modeling judgment with a focus on data quality, testing, and reliability
A bias toward mapping and rationalizing a messy environment before adding to it
Strong communication and collaboration skills, including with non-engineering stakeholders
Fluent, critical use of AI in day-to-day engineering, reviewing AI output as carefully as a teammate's PR
Experience with high-volume / streaming systems (ClickHouse, OpenTelemetry) or CDP / ETL tools (Segment, Hevo) is a plus
Previous experience at a startup is a plus
💰 Compensation
Starting Salary Range: $175,000.00 to $205,000.00
Competitive Equity Package
* Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for equity and benefits. 🌴 Perks & Benefits
Requirements
- ·Bachelor's degree in Computer Science or related field, or equivalent practical experience
- ·4+ years of hands-on data engineering experience building and owning production pipelines
- ·Proficiency with dbt, a cloud data warehouse (BigQuery or equivalent), and ETL/ELT tooling
- ·Strong SQL and proficiency in a general-purpose language (e.g. Python) for pipeline and transformation work
- ·Solid data modeling judgment with a focus on data quality, testing, and reliability
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, undisclosed, matches where you plan to live and work.
- 2Tailor your CV to the role at Cortex, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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