Data Engineer
Seattle, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingCreate EdTech video tutorials and demos on data engineering
Lead live teaching sessions and workshops
Design data models such as star schema and dimensional models
From the employer’s posting
Comfortable shooting EdTech videos (tutorials, demos)
leading live teaching/workshops
Expert in data modelling (star schema, dimensional, etc.)
What you’ll bring
All qualificationsCore experience
- 6-10 years in data engineering
- Hands-on AWS Snowflake and AWS Databricks experience
- Advanced SQL querying and optimization
- Python skills with Pandas, ETL scripting and PySpark
- AWS ecosystem skills: S3, Glue, Lambda, Redshift, Airflow, dbt
Qualification wording
6-10 years in data engineering
hands-on AWS Snowflake & AWS Databricks experience
Advanced SQL querying and optimization
Python mastery (Pandas, ETL scripting, PySpark)
Proficient in AWS ecosystem: S3, Glue, Lambda, Redshift, Airflow, dbt for pipelines
Tools in this posting
- Python
- SQL
- AWS
- Databricks
- dbt
- Redshift
- S3
- Snowflake
- Airflow
- pandas
- PySpark
Source — Tool mentions in context
We're Hiring: Data Engineer SME (Snowflake, AWS + EdTech Content) Remote | Full Time | EST Working hours | Pay: ₹20-30 LPA About the Opportunity We are seeking a battle-tested Data Engineer SME with deep expertise in Snowflake, data modelling, SQL/Python, and a flair for creating EdTech video content and teaching. What We're Looking For • 6-10 years in data engineering, with hands-on AWS Snowflake & AWS Databricks experience • Expert in data modelling (star schema, dimensional, etc.) • Advanced SQL querying and optimization • Python mastery (Pandas, ETL scripting, PySpark) • Proficient in AWS ecosystem: S3, Glue, Lambda, Redshift, Airflow, dbt for pipelines • Comfortable shooting EdTech videos (tutorials, demos) and leading live teaching/workshops Why Join Us? • Full-time remote— work-life balance • Pay- ₹20-30 LPA • Blend engineering with teaching: Shape future data pros through content Apply Here- https://sc2g23h2b1a.typeform.com/to/D643bI8F
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 149 days ago
- Recorded sightings
- 17
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.gohire.io. The employer’s form will show what is required.
Already applied? Track this application
Job description
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Seattle, United States
We're Hiring: Data Engineer SME (Snowflake, AWS + EdTech Content) Remote | Full Time | EST Working hours | Pay: ₹20-30 LPA About the Opportunity We are seeking a battle-tested Data Engineer SME with deep expertise in Snowflake, data modelling, SQL/Python, and a flair for creating EdTech video content and teaching. What We're Looking For • 6-10 years in data engineering, with hands-on AWS Snowflake & AWS Databricks experience • Expert in data modelling (star schema, dimensional, etc.) • Advanced SQL querying and optimization • Python mastery (Pandas, ETL scripting, PySpark) • Proficient in AWS ecosystem: S3, Glue, Lambda, Redshift, Airflow, dbt for pipelines • Comfortable shooting EdTech videos (tutorials, demos) and leading live teaching/workshops Why Join Us? • Full-time remote— work-life balance • Pay- ₹20-30 LPA • Blend engineering with teaching: Shape future data pros through content Apply Here- https://sc2g23h2b1a.typeform.com/to/D643bI8F
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.