Sr. Software Engineer - Data Engineering

Overview

ArcGIS Online is a secure mapping and spatial analysis software as a service (SaaS) platform that empowers organizations around the world to unlock geospatial insights. Customers can collect and manage data, analyze it, and improve decision-making by easily sharing maps and apps. Esri makes GIS accessible and powerful for both consumers and experts, across all platforms and devices.

Software Engineers with a strong focus on building data systems will curate platform data, process product telemetry, build ETL pipelines and service APIs to provide customer and organizational insights. As part of the ArcGIS Online (AWS) team, you can advance your career with informed viewpoints, unique collaboration, and adoption of best practices. Come, learn more today!

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

• Design, implement and operate
  • Data processing, analytical and ETL systems at scale
  • API services at scale
  • Solutions to business problems involving data reporting, data accuracy and data consistency
  • Optimizations by improving data models and database query performance
• Simplify and modernize existing data processing workflows
• Write comprehensive technical design specifications and support documentation
• Collaborate cross-functionally with Software Development Engineers, QA Engineers, Product Managers, and UI/UX teams to deliver end-to-end solutions
• Stay current with emerging technologies and recommend tools or approaches to improve development efficiency

Requirements

• 5+ years of software development experience in building ETL, batch and stream processing systems at scale
• Proven expertise in developing API services using Java
• Skilled in programming languages, particularly Python and Java
• Practical experience with relational databases, including MySQL, PostgreSQL, and SQL Server
• Familiarity with AWS services such as S3, Kinesis, Athena, and Glue
• Excellent SQL skills
• In-depth knowledge of data modeling techniques for managing historical data.
• Experience with data orchestration tools like Apache Airflow or AWS Step Functions.
• Proficient in data processing tools such as Apache Spark or Apache Flink
• Bachelor’s degree in computer science, engineering, or related technology field

Recommended Qualifications

• Hands-on experience with time-series databases like Prometheus, Druid, InfluxDB
• Expert in data modeling (OLTP, OLAP, star/snowflake schemas, normalization, dimensional modeling
• Experience designing scalable, maintainable data pipelines and schema evolution
• Proficient with API documentation specs like OpenAPI
• Familiar with unit testing frameworks and CI/CD for data workflows
• Strong understanding of data warehousing principles
• Ability to perform root cause analysis and optimize large-scale pipelines

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