Senior Data Engineer (AWS/Snowflake)

TL;DR

Senior Data Engineer (AWS/Snowflake): Building and optimizing scalable data infrastructure, ingestion workflows, and lakehouse architectures with an accent on high-performance data pipelines and cloud infrastructure. Focus on implementing Python ETL/ELT processes, orchestrating workflows with Airflow, and managing infrastructure via Terraform.

Location: Must be based in the United States (Texas City; remote and office options available)

Salary: $156,000 – $190,000

What you will do

• Build ingestion workflows from third-party APIs.
• Design and construct scalable data lakes, data warehouses, and lakehouses.
• Develop high-performance data infrastructure using Snowflake, Spark, and AWS.
• Implement and optimize Python-based ETL and ELT pipelines.
• Manage and provision infrastructure using Terraform.
• Orchestrate complex data workflows with Apache Airflow.

Requirements

• Must be based in the United States
• Expertise in AWS, Snowflake, and Apache Spark.
• Strong proficiency in Python and SQL for data pipeline optimization.
• Experience with Terraform for infrastructure as code.
• Experience orchestrating workflows with Airflow.
• Knowledge of columnar file formats and Medallion Architecture.

Culture & Benefits

• Remote work options and flexible scheduling.
• Dedicated budgets for education and fitness.
• Mentorship and personalized professional growth roadmaps.
• Team activity budget and internal techtalks.
• Option to work from the office.