Back to SearchSenior Software Engineer (Data Engineering)
Data Software Engineering
& 6 others
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We are seeking an accomplished Senior Software Engineer with expertise in data engineering to join our team.
You will be instrumental in crafting scalable systems and data pipelines that process and analyze complex datasets, enabling advanced insights and innovative data-driven applications.
Responsibilities
- Design and implement efficient backend services and pipelines for ingesting, transforming, and processing large-scale data from multiple sources
- Collaborate with Product Managers and Engineers to develop ML/AI-powered systems that generate actionable insights and automate workflows
- Build APIs and internal tools to support analytics, reporting, and real-time data visualizations
- Define and maintain data models, governance policies, and quality standards to uphold data integrity and accessibility across teams
- Optimize data pipelines through strategies like indexing, caching, and asynchronous processing
- Drive architectural decisions around event-driven systems, distributed processing, and scalable job orchestration
- Improve CI/CD workflows, observability, and automation for high availability and reliability of data infrastructure
- Participate in technical discussions, code reviews, and retrospective sessions to ensure continuous improvement and innovation
Requirements
- 3+ years of experience with Python, Golang, or PHP in backend development
- 3+ years of experience designing and building backend platforms and services
- 2+ years working with data engineering tools like Airflow, dbt, Spark, or Kafka
- Knowledge of relational databases (e.g., MySQL) with experience in data modeling, schema design, and performance tuning
- Background in implementing ML/AI-powered solutions for large-scale data processing
- Expertise in using distributed systems, message queues, or stream processing frameworks
- Competency in developing APIs or services for advanced analytics and reporting
- Proficiency in caching tools like Redis or Memcached and containerization technologies such as Docker
- Familiarity with Linux systems and DevOps practices
- Understanding of observability tools like New Relic or Datadog