Data Engineer – AI-Driven Data Platforms

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Spark Eighteen

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2012

💼 Conseil

📣 Marketing

🏥 Santé

Consulting • Marketing • Healthcare

Spark Eighteen est un studio de produits digitaux et une agence d'ingénierie axés sur le design, créant des produits web et mobiles avec une expérience utilisateur irréprochable. Ils offrent des services de développement de produits, de design UI/UX, de développement de sites internet et d'applications, ainsi que de marketing digital, travaillant du concept au prototype jusqu'à la production pour les startups et les entreprises. Leur portefeuille inclut des travaux sur des produits SaaS et d'entreprise dans le domaine de la santé et l'optimisation des processus métiers, et ils se positionnent comme un partenaire combinant technologie, créativité et données pour optimiser la présence digitale.

Description

• 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.

🎯 Exigences

• 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

🏖️ Avantages

• Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work • Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance • Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders • Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments • Opportunity to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value • Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution • Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build • Annual recognition programs and performance-driven awards in a truly meritocratic environment • Referral bonuses that reward you for helping grow a strong, like-minded team • A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges • A positive, people-first workplace that supports happiness, balance, and long-term growth