---
title: 'Senior Data Engineer at Ground News'
canonical: 'https://feeny.ai/job/senior-data-engineer-ground-news-canada-hbpsape4nc66'
type: 'job'
last_seen: '2026-10-20'
---

# Senior Data Engineer at Ground News 

- **Company:** Ground News 
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-23
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/groundnews/244d5880-1724-48c4-89d0-3ca7667d5be6

## Job description

About Us: [Ground News](https://ground.news/) is a platform that makes it easy to compare news sources, read between the lines of media bias, and break free from algorithms. In a world where political polarization and media distrust are at an all-time high, Ground News offers people a better way to stay informed and see every side of the story. Our mobile app, web app, and browser extension are home to a community of mindful readers who use our news comparison platform to engage with news beyond their filter bubble. Unlike most news companies, our values do not align with any specific political ideology. Unlike most tech platforms, we don’t rely on algorithms to keep users on our platform to sell more ads. We are supported by our readers who pay for a subscription to build a more nuanced understanding of the news, the world, and themselves.

The Opportunity: Senior Data Engineer As a senior Data Engineer, you'll build the analytical foundation that Ground News runs on. You'll sit within our ML chapter and work out of the Platform & Infrastructure pod, splitting your time between developing the integrations that bring data into our warehouse and analytical layers that serve KPIs for our Growth & Monetization, Core Experience, and Content Intelligence pods. This is a senior, hands-on role for someone who thinks in reusable models across the org. You'll design scalable, conformed data models that let analysts answer their own questions without waiting on you, and you'll own the reliability of those models end to end: ingestion, data quality, accuracy, coverage gaps, and failures both upstream and downstream. When a number looks wrong, you're the person who can trace it from the event that produced it to the dashboard that reported it.

You'll also be a key liaison between the people who ask the questions and the systems that answer them, translating what analysts, customer success, and product stakeholders need into data they can trust and reuse.

What You’ll Do:

- Design and build scalable, conformed data models and analytical layers that serve experimentation and company KPIs.
- Own the connectors that land data in the warehouse end to end, from replicated backend tables to custom connectors you build yourself and third-party managed sources.
- Manage infrastructure as code and deployment workflows across AWS and GCP, using Kubernetes and OpenTofu (Terraform) to ship changes safely.
- Own the pipelines you build, monitoring freshness and responding to failures with urgency.
- Act as a senior voice in data architecture decisions, from selecting table types and datastores to designing the schemas from backend to semantic layers.
- Partner directly with analysts, ML engineers, and product stakeholders to turn business questions into data models they can self-serve from.
- Champion high engineering quality through testing, code reviews, observability, and thoughtful operational practices.

What You’ll Bring:

- 5+ years of experience building and operating production data platforms and analytical models.
- Deep expertise in SQL and Python.
- Broad experience with dimensional modelling: grain, table types, conformed dimensions, and load patterns.
- Hands-on experience with modern data tooling: BigQuery, dbt, Dagster, and ingestion tools such as Fivetran, Airbyte, or Google Datastream.
- Experience with data stores and event-driven systems such as PostgreSQL, Elasticsearch/OpenSearch, and message queues or streams (Kafka, SQS, or Pub/Sub).
- SRE-oriented experience: monitoring, alerting, incident response, and performance optimization for data integrations.
- Experience shipping data and metrics safely, with the validation habits to keep wrong numbers off dashboards and an eye on the compute cost behind them.

Why Work at Ground? Co-founded by a former NASA engineer and Bain consultant, a position with Ground News provides an unparalleled learning experience both personally and professionally. At Ground, we prioritize growth: both for our business and team members. You’ll have the freedom to work remotely and play a key role in the development of Ground News products. This is an opportunity to work with a growing and mighty team that is fighting every day to build a world where cooperative, civil debate is the norm, media is accountable, and critical thought is the baseline of our information consumption. Ground is based in Kitchener, Ontario, Canada, but this role is remote. Our culture is one of collaboration, creativity, and diverse perspectives. If you have any questions, concerns, or requests regarding accessibility needs, please contact talent@ground.news, and a member of our team will be happy to help.

## About Ground News 

## Company Overview
- **One-liner**: Ground News is a platform that makes it easy to compare news sources, read between the lines of media bias, and break free from algorithms.
- **Entity Type**: Private (funded by individual investors, no institutional venture capital)
- **Headquarters**: Kitchener, Ontario, Canada
- **Founded**: 2018 (public launch January 15, 2020)
- **Founders**: Harleen Kaur (CEO) and Sukh Singh (CTO)

## Core Business
- **Primary industry**: Technology, Information and Media
- **Target customers**: B2C – readers, subscribers, and anyone seeking balanced news consumption
- **Mission**: “To well inform the world by empowering readers to think freely about the issues of our times.”

## Products & Services
- **[Ground News Platform]**: A news aggregator that processes ~60,000 articles daily from 50,000+ sources. Merges related stories and displays bias ratings (left/center/right), factuality scores, and ownership data for each outlet. Available as web app and mobile app.
- **[Media Bias Checker Browser Extension]**: A browser extension that works on social media and news sites, showing the bias breakdown of any article with one click.
- **[Premium Subscriptions]**: Paid tiers that unlock additional features (details not fully public; subscriptions are a key revenue source).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of **$150,000 USD** (Series A, August 2022), raised across four rounds (Angel, Pre-Seed, Seed, Series A) from a small group of mission-aligned individual investors
- **Notable Investors/Partners**: No institutional investors; backed by individual investors with no ties to corporate media or big tech. Partners for bias and factuality data: AllSides, Ad Fontes Media, Media Bias Fact Check. Featured in Apple’s “New and Notable” showcase, reached #1 on Product Hunt, recommended by Tristan Harris (Center for Humane Technology), and recognized by Apple CEO Tim Cook.
- **Growth Signals**: 68 employees (+1.3% YoY), 10,505 LinkedIn followers (+41.7% yearly), operates in 11 countries, active job postings for Sponsorships Manager roles (indicating new revenue streams).

## Competitive Advantages
- **Unique bias-comparison model**: No other major platform lets readers see how the same story is covered across the political spectrum with transparent rating methodologies.
- **Independence**: Not funded by media conglomerates, big tech, or government – allows unbiased curation and editorial freedom.
- **Human-centric hiring**: Every application is reviewed by a real person, not algorithms, reflecting the company’s commitment to thoughtful, deliberate processes.

## Strategic Focus
- **Current priorities**: Growing subscriber base, expanding sponsorship revenue (hiring Sponsorships Managers), and scaling the platform’s reach through education initiatives (Ground Education).
- **Direction for growth**: Deepening the product’s utility for free and paid users, potentially adding more international news sources and language support.

## Why Work Here
- **Remote/hybrid policy**: Remote-first – work from your province or state (location restrictions may apply); optional bi-weekly office meetups in Kitchener, Ontario.
- **Benefits**: 3 weeks paid vacation, 8 weeks paid parental leave, comprehensive health & wellness (medical, dental, vision), competitive pay, team retreats, and departmental gatherings.
- **Culture**: Values-driven team (“curious, smart, motivated by mission”). The hiring process includes a founder interview and, for technical roles, a code review or case study interview. Technical staff make up 32% of the team, with a Head of Engineering (Duncan McDowell) and a Head of Data & Analytics.
- **Employer rating**: 4.4/5.0 on LinkedIn (8 reviews) – culture rated 4.7, work-life 4.2, compensation 4.2.

## Sources
1. [ground.news/about](https://ground.news/about)
2. [ground.news/careers](https://ground.news/careers)
3. [ground.news/frequently-asked-questions](https://ground.news/frequently-asked-questions)
4. [LinkedIn – Ground News](https://ca.linkedin.com/company/groundnews)

## Other roles at Ground News 

- [Senior Back End Engineer](https://feeny.ai/job/senior-back-end-engineer-ground-news-canada-z220wer8aj84) — Canada
- [Staff Engineer, Web](https://feeny.ai/job/staff-engineer-web-ground-news-canada-7zsr252bvdnx) — Canada
- [Performance Marketing Manager, Google & YouTube](https://feeny.ai/job/performance-marketing-manager-google-youtube-ground-news-canada-cbzxjfh54chv) — Canada
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-clear-street-remote-qks5rqfd7f1t)
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-keyrock-brussels-dtn7ms1yc1cf) — Brussels, Belgium
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-playstation-global-dublin-6wd9bqhs1gcm) — Dublin, Ireland
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-mesh-san-francisco-rmmytyv6snqx) — San Francisco, CA
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-kin-insurance-united-states-0tkm3sf6bqgy) — United States
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-ebury-madrid-nabfxz85y999) — Madrid, Spain
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-metriport-san-francisco-y8645xa5n41b) — San Francisco, CA