Note: The job is a remote job and is open to candidates in USA. MDAEdge is seeking an experienced Data Engineer/Software Engineer to join their Multi-Cloud Efficiency (MCE) team. In this role, you will play a critical part in scaling cost attribution infrastructure and enhancing financial visibility across cloud platforms by delivering high-impact engineering solutions.
Responsibilities
- Design, build, and optimize large-scale data pipelines and architectures to automate cost attribution across compute, storage, and cloud services
- Debug and resolve cost allocation issues, implementing and refining attribution logic for improved accuracy and flexibility
- Develop data validation mechanisms to detect anomalies and regressions in cost and efficiency datasets
- Build scalable, reliable, and efficient datasets and pipelines, reducing manual processes through automation
- Create intuitive dashboards and visualizations (e.g., in Databricks, Tableau, or similar) to provide clear cost insights for engineering, finance, and leadership teams
- Collaborate with cross-functional teams (Executive, Product, Data, Design) to understand data infrastructure needs and resolve technical challenges
- Contribute to internal tooling and automation to minimize operational overhead and improve efficiency
- Work in a highly technical, supportive team on well-scoped problems with immediate business impact
- Stay flexible and proactive, stepping in to address critical business needs as they arise
Skills
- 8+ years of hands-on experience in data engineering, software engineering, or cloud cost analytics
- Expertise in SQL, Python, and distributed data systems (e.g., Spark, Hadoop)
- Strong experience in building and optimizing data pipelines, ETL processes, and large-scale datasets
- Proficiency in debugging, root cause analysis, and problem-solving in ambiguous or operational settings
- Experience with cloud infrastructure (AWS, Azure, or GCP) and cost management tools
- Ability to translate complex data into actionable insights for both technical and non-technical stakeholders
- Strong communication skills to collaborate with finance, engineering, and leadership teams
- Experience with Scala, Databricks, or similar data platforms
- Background in FinOps, cloud cost optimization, or financial data modeling
- Familiarity with data visualization tools (e.g., Tableau, Looker, Grafana)
- Knowledge of Kubernetes and container cost tracking
Company Overview