Data Engineer
Core
Build and support data pipelines, platforms, and feature stores to enable analytics, modeling, and data-driven decision-making for internal teams and customers.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data warehouses, data lakes, and feature stores
Domain
SaaS / B2B RFP platform / Cloud Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, AWS (Redshift, S3, RDS, Glue, Athena), ETL, Data Warehousing, Spark, Airflow, CI/CD, NoSQL (DynamoDB, Redis)
Preferred skills
Container orchestration (Docker, Kubernetes), NLP, Graph databases (Neo4J, Neptune), BI PaaS/SaaS
Technologies
Databricks, AWS, Redshift, S3, RDS, Glue, Athena, ECS, Jenkins, Airflow, Tableau, Quicksight, Amplitude, Pendo
Responsibilities
Build and scale data platforms and ETL pipelines; Develop and maintain a feature store; Integrate diverse data sources into the data lake; Orchestrate workflows using frameworks like Airflow; Partner with data scientists to create predictive models; Build automation tooling for data operations
Seniority
Senior, hands-on IC