Data Engineer – AI-Driven Data Platforms

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Spark Eighteen

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🤝 B2B

☁️ SaaS

B2B • SaaS

Spark Eighteen is a design-led digital product studio and engineering agency that builds web and mobile products focused on impeccable user experience. They offer product development, UI/UX design, website & app development, and digital marketing, working from concept to prototype and production for startups and businesses. Their portfolio includes SaaS and enterprise product work across healthcare and business process optimization, and they position themselves as a partner combining technology, creativity, and data to optimize digital presence.

📋 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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