Key skills
SQLPythonStreaming technologiesChange data capture (CDC)dbtOrchestration toolsAWSData modelingGraph databasesVector databasesMulti-tenant data architecturesK–12 data compliance standardsAIMachine LearningData EngineeringSnowflakeRedshiftKafkaAirflowECSEKSLambdaS3RDSKinesis
About this role
StrongMind is a remote-first education and technology company focused on transforming learning experiences. The Data Engineer will design and build a modern data platform that supports real-time processing and AI capabilities, directly impacting product innovation and data-driven decision-making.
Responsibilities:
- Design and implement data pipelines, including change data capture (CDC) and event-driven architectures
- Build and maintain data systems across lakehouse and warehouse environments (e.g., S3, Snowflake, Redshift)
- Develop transformation pipelines using tools like dbt and orchestration frameworks such as Dagster or Airflow
- Partner with engineering, product, and AI teams to define data models, contracts, and platform capabilities
- Support AI and graph-based systems, including data pipelines for machine learning and real-time inference
- Create technical documentation, including architecture decision records (ADRs) and operational runbooks
- Monitor and support production data systems, ensuring reliability, performance, and scalability
Requirements:
- 3+ years of experience building and maintaining production data platforms
- Strong SQL skills, including schema design, optimization, and performance tuning
- Strong Python experience for data engineering, including testing and production workflows
- Experience with streaming and CDC technologies (e.g., Kafka, Kinesis, Debezium)
- Experience with dbt and orchestration tools such as Dagster, Airflow, or Prefect
- Solid AWS experience, including services such as S3, RDS/Aurora, Lambda, EventBridge, and ECS/EKS
- Experience with data modeling across transactional, analytical, and event-based systems
- Ability to operate independently with high ownership in a remote-first environment
- Experience with graph databases or graph data modeling
- Familiarity with vector databases or feature stores
- Experience designing multi-tenant data architectures
- Knowledge of K–12 data compliance standards (e.g., FERPA, COPPA)
- Experience in EdTech, LMS platforms, or student information systems