Snowflake Engineer

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 or 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. What You Need to Succeed – 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). Nice‑to‑haves 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. Benefits Fully remote work with hardware provided. Global team experience with clients in various regions. Competitive USD compensation. Training and learning stipends. Paid Time Off (vacation, personal, study). A culture that values autonomy, purpose, and human connection. Join us and help shape the future of intelligent systems—one data pipeline at a time. #J-18808-Ljbffr