This is a remote position.
We are seeking a Data Engineer with 5+ years of experience to build and scale data platforms powering AI-driven analytics on high-volume sensor, satellite, and third-party data. The ideal candidate will have expertise in designing and managing scalable batch and real-time data pipelines using Apache Airflow, Apache Spark, Kafka, Python, and SQL. Strong experience with PostgreSQL, TimescaleDB, PostGIS, cloud-based data lake architectures, and geospatial/time-series data is essential. The role involves owning data pipelines end-to-endfrom real-time ingestion to analyticswhile ensuring data quality, performance, observability, and reliability in a cloud-native environment. Strong stakeholder management, problem-solving, and collaboration skills are key to delivering impactful data products and analytical solutions.
- 5+ years of experience in Data Engineering and production-scale data platforms
- Design and manage Apache Airflow pipelines for high-volume sensor, satellite, and third-party data ingestion
- Build and optimize Apache Spark workloads for batch processing, geospatial analytics, and large-scale aggregations
- Develop and maintain PostgreSQL, TimescaleDB, PostGIS, and DuckDB-based data solutions
- Implement Kafka-based streaming pipelines for real-time data ingestion
- Work with Object Storage (AWS S3 or equivalent) for scalable data lake architecture
- Strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL
- Experience with geospatial and time-series data
- Comfortable working in Ubuntu-based environments
- Collaborate with customer teams to translate business requirements into data products and analytical solutions
- Ensure data quality, lineage, observability, performance, and SLA compliance
- Troubleshoot production issues and optimize pipeline, database, and query performance
- Create and maintain technical documentation, data models, and run-books
- Strong communication, stakeholder management, and problem-solving skills
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.