Data Engineer @Spark Eighteen
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted 2mths ago

[Hiring] Data Engineer @Spark Eighteen

2mths ago - Spark Eighteen is hiring a remote Data Engineer. πŸ’Έ Salary: unspecified πŸ“Location: Worldwide

Role 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
  • 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-endβ€”from real-time ingestion to analyticsβ€”while ensuring:

  • Data quality
  • Performance
  • Observability
  • Reliability in a cloud-native environment

Strong stakeholder management, problem-solving, and collaboration skills are key to delivering impactful data products and analytical solutions.

Qualifications

  • 5+ years of experience in Data Engineering and production-scale data platforms
  • Strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL
  • Experience with geospatial and time-series data
  • Comfortable working in Ubuntu-based environments

Requirements

  • 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
  • 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
Before You Apply
️
worldwide Be aware of the location restriction for this remote position: Worldwide
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Data Engineer @Spark Eighteen
Data and Analytics
Salary unspecified
Remote Location
Employment Type full-time
Posted 2mths ago
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worldwide Be aware of the location restriction for this remote position: Worldwide
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Offer Accepted βœ“
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