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SeniorFull-timeJavaScriptTypeScriptPythonJavaReactNext.jsAWSKubernetesDockerPostgreSQL
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join SpotOn's Data and Reporting team. This role involves designing, building, and maintaining high-performance, scalable data systems and infrastructure to support complex data-driven applications.
Key Responsibilities
- →Architect, develop, and maintain scalable software solutions for reporting and analytics platforms
- →Design and implement data pipelines, ETL processes, and integrations using technologies like ClickHouse, Streamkap, PostgreSQL, Snowflake, MongoDB, Kafka, and AWS
- →Write and optimize SQL queries to drive merchant reporting outcomes and improve database performance
- →Contribute to defining and refining system architectures, including cloud infrastructure and containerization strategies
- →Implement robust data observability monitoring, logging, and alerting solutions
- →Mentor junior and mid-level engineers, promoting technical excellence and best practices
Requirements
- ✓5+ years of professional software and data engineering experience
- ✓Proficient in Python; experience with GO and TypeScript or JavaScript is highly beneficial
- ✓Extensive experience with databases and data warehouses such as ClickHouse, PostgreSQL, and MongoDB
- ✓Strong understanding of real-time data streaming and messaging systems, especially Kafka
- ✓Experience designing and implementing robust ETL pipelines and handling large-scale data migrations
- ✓Familiarity with cloud services, especially AWS, including IAM roles, S3, RDS, and MSK
- ✓Proven ability in performance tuning and optimization for high-volume, low-latency data systems
- ✓Experience applying core data observability principals to create a transparent and resilient data platform
- ✓Comfortable with containerization technologies such as Docker and orchestration tools like Kubernetes
- ✓Strong experience with infrastructure as code (IaC) tools and best practices
- ✓Deep understanding of software development best practices, CI/CD pipelines, and DevOps methodologies
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