Guide
What is a Data Engineer / Scientist?
2,075 open roles across 919 companies right now · updated daily
Data Engineers and Data Scientists build the pipelines, platforms, and models that turn raw data into decisions — and as AI moves to production, that work sits at the center of every serious tech company. This board aggregates open data engineering and data science roles daily from public ATS feeds, linked to the original posting.
Frequently asked questions
What is a Data Engineer?
A Data Engineer designs and builds pipelines that collect, store, and transform data at scale — enabling analytics, ML, and business intelligence. Common tools include Spark, dbt, Airflow, Kafka, and cloud data warehouses.
Data Engineer vs. Data Scientist?
Data Engineers build the infrastructure and pipelines that deliver clean data; Data Scientists use that data to build models, run experiments, and generate insights. Modern teams need both.
How much do Data Engineers earn?
US mid-to-senior data engineering roles typically land around $140k–$220k+ total comp. Data scientists at the same level often overlap. Check each posting for its stated range.
Compensation
In the US, Data Engineer / Scientist roles typically fall in the range of $160,650–$235,000 in base salary, with a median of $193,500 based on 818 roles with published salary data (42% coverage). See the Data Engineer / Scientist salary page for full data.
Top companies hiring Data Engineer / Scientists right now
919 companies have open Data Engineer / Scientist postings tracked by latchhire. Top employers by open headcount:
- 1. Brillio 29 open roles
- 2. Accenture Federal Services 27 open roles
- 3. Visa 26 open roles
- 4. Airwallex 22 open roles
- 5. OpenAI 20 open roles
- 6. Lingaro Group 20 open roles
- 7. Anthropic 19 open roles
- 8. Mutt Data 19 open roles
- 9. Agile Defense 18 open roles
- 10. Pinterest 15 open roles
2,075 open Data Engineer / Scientist roles, updated daily
Direct from company ATS feeds — no aggregator lag.