# Data Engineer at Haystacknews

> Location unclear · Unspecified · Data engineering · open. Source: https://alderhq.app/jobs/ashby%3Ahaystacknews%3Acceaf551-2c31-488d-9d9e-e8a3e84c8a97 (read 2026-11-08).

## Facts (observed)

- Company: [Haystacknews](https://alderhq.app/companies/haystacknews)
- Location text: Lima Office
- Where it can be done from (inferred): Location unclear (evidence: "Location: Lima Office")
- Posted: 2025-05-08 (548 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/haystacknews/cceaf551-2c31-488d-9d9e-e8a3e84c8a97
- Skills listed (inferred): Python, Snowflake, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

Haystack News is the leading local & world news service on Connected TVs reaching millions of users! This is a unique opportunity to work at Haystack News, one of the fastest-growing TV startups in the world. We are already preloaded on 37% of all TVs shipped in the US!

Be part of a Silicon Valley startup and work directly with the founding team. Jumpstart your career by working with Stanford & Carnegie Mellon alumni and faculty who have already been part of other successful startups in Silicon Valley.

You should join us if you're hungry to learn how Silicon Valley startups thrive, you like to ship quickly and often, love to solve challenging problems, and like working in small teams.

### Job functions

Analyze large data sets to get insights using statistical analysis tools and techniques

Collaborate with the Marketing, Editorial and Engineering teams on dataset building, querying and dashboard implementations

Support the data tooling improvement efforts and help increase the company data literacy

Work with the ML team on feature engineering and A/B testing for model building and improvement

Design, test and build highly scalable data management and monitoring systems

Build high-performance algorithms, prototypes and predictive models

### Qualifications and requirements

Strong written and spoken English is a must!

Bachelor's degree in Computer Science, Statistics, Math, Economics or related field

3+ years experience doing analytics in a professional setting

Advanced SQL skills, including performance troubleshooting

Experience with data warehouses (e.g. Snowflake, BigQuery, Redshift)

Proficient in Python including familiarity with Jupyter notebooks

Strong Math/Stats background with statistical analysis experience on big data sets

Strong communication skills, be able to communicate complex concepts effectively.

### Conditions

Travel to team's offsite events

100% paid Uber rides to go to the office

Learn about multiple technologies

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ahaystacknews%3Acceaf551-2c31-488d-9d9e-e8a3e84c8a97 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.