How Remoteville checks and expires listings
Senior Data Engineer
Skills
DevopsWarehouse OperationsApache AirflowApache SparkCost EngineeringData ServicesData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 7+ years in data engineering or analytics engineering roles
- Expert-level Python for ETL scripting API clients and automation
- Hands-on with AWS data services and infrastructure-as-code
- Deep expertise designing relational schemas and writing complex SQL
- Proven experience with Apache Airflow AWS Glue or equivalent orchestration tools
- Solid background integrating and transforming data from third-party APIs streaming platforms and message queues
- Familiarity with HIPAA FedRAMP and SOC-2 data handling requirements
- Strong communication skills and ability to partner with cross-functional teams
Nice to have
- Hands-on contributor
- Data quality champion
- Problem solver
- Collaborative mindset
- Continuous learner
Day to day
- Design and build scalable data pipelines and integrations that power analytics reporting and operational workflows.
- Model and optimize cloud data warehouses while ensuring data quality reliability and compliance.
- Collaborate with cross-functional teams to deliver accurate accessible and well-documented data solutions.
Hiring process
- Apply with résumé and examples of impactful data-engineering projects