Snowflake Engineer - Data Pipelines & Cloud Analytics
Remote
AI Summary
We're looking for a motivated Snowflake Engineer to design, build, and optimize modern data solutions using Snowflake, SQL, and cloud technologies.
Key Highlights
Design, build, and maintain data pipelines and ETL processes within Snowflake Data Cloud
Develop and optimize SQL queries, stored procedures, and data transformations for analytics and reporting
Collaborate with data engineers and analysts to define data models, schemas, and integration logic
Technical Skills Required
Benefits & Perks
Competitive USD compensation
Fully remote work with hardware provided
Global team experience with clients in LATAM
Training and learning stipends
Paid Time Off (vacation, personal, study)
Job Description
📌 Snowflake Engineer – Data Pipelines & Cloud Analytics (Full-Time, Remote – LATAM)
Kick off your next career move with Launchpad! We’re looking for a motivated Snowflake Engineer eager to grow in a dynamic, cloud-driven environment. You’ll work with a global data team to design, build, and optimize modern data solutions using Snowflake, SQL, and cloud technologies. If you’re passionate about turning data into reliable, actionable insights, this is your opportunity to make an impact while advancing your technical career.
🗓 Start date: February 2026
📆 Contract type: Contractor - Indefinite
🌐 Work hours: Monday to Friday, 7.30 am to 4.30 pm PST - 100% Remote
🛠️ What You’ll Be Doing
- Build and maintain data pipelines and ETL processes within the Snowflake Data Cloud, ensuring performance and scalability.
- Develop and optimize SQL queries, stored procedures, and data transformations for analytics and reporting.
- Collaborate with data engineers and analysts to define data models, schemas, and integration logic.
- Work with AWS / Azure services for data ingestion, orchestration, and automation (Lambda, S3, Data Factory, etc.).
- Support data quality, validation, and documentation to ensure reliable business intelligence.
- Contribute to process improvements, automation, and best practices within the data engineering team.
Must-haves
- 2–5 years of experience in Data Engineering, ETL, or Database Development.
- Hands-on experience with Snowflake (data modeling, virtual warehouses, tasks, streams).
- SnowPro Core Certification.
- Strong SQL skills and understanding of data warehousing concepts.
- Experience with Python, Airflow, or similar ETL/orchestration tools.
- Familiarity with cloud platforms (AWS or Azure).
- Advanced-Bilingual English communication skills (written and spoken).
- Experience with dbt, Terraform, or CI/CD for data pipelines.
- Exposure to Power BI, Tableau, or analytics platforms.
- Knowledge of data governance, security, or performance tuning in Snowflake.
- Prior experience in remote, multicultural engineering teams.
Here’s what to expect from our candidate-friendly interview process:
- Initial Interview – 60 minutes with our Talent Acquisition Specialist
- Culture Fit – 30 minutes with our Team Engagement Manager
- Technical Assessment - Python Coding + Multiple Choice questions
- Final Stage – 60 minutes with the Hiring Manager (Technical Interview)
We believe that great work starts with great people. At Launchpad, we offer:
- 💻 Fully remote work with hardware provided
- 🌎 Global team experience with clients in [regions]
- 💸 Competitive USD compensation
- 📚 Training and learning stipends
- 🌴 Paid Time Off (vacation, personal, study)
- 🧘♂️ A culture that values autonomy, purpose, and human connection