Spark Eighteen

Data Engineer

• 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-end—from real-time ingestion to analytics—while 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.

Data Engineer – AI-Driven Data Platforms

Backend Engineer

• Design and implementation of highly scalable, secure, and high-performance distributed systems
• Lead the backend architecture and drive engineering excellence across teams
• Mentor developers to elevate technical standards
• Ensure performance optimization and system reliability
• Influence key architectural decisions and ensure strong cross-functional alignment
• Translate complex technical initiatives into measurable business impact

Senior Backend Engineer – Node.js

• Designing and developing robust backend systems
• Contributing to architectural decisions
• Driving best engineering practices
• Mentoring junior team members
• Collaborating closely with cross-functional teams to deliver secure, scalable, and high-performance applications

Data Engineer – AI-Driven Data Platforms

Senior Backend Engineer – Node.js

Senior Backend Engineer – Python