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Data Engineer/Software Engineer - Multi-Cloud Efficiency (MCE)

MDA Edge

Role overview

Qualifications

  • 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

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
  • Create intuitive dashboards and visualizations (e.g., in Databricks, Tableau, or similar) to provide clear cost insights for engineering, finance, and leadership teams

About the company

MDA Edge logo

MDA Edge

Business Consulting & Services

Our objective is to establish an exceptional ecosystem by connecting individuals, technology, and prospects through the application of human intelligence.MDA Edge is a process-oriented company and our expertise lies in providing comprehensive Workforce Solutions, specifically focusing on Contingent Staffing, Bulk/Project Staffing, RPO/KPO/BPO, and Direct Hire services. We cater to a wide range of industries, including Infrastructure Consulting, Engineering Consulting, IT Consulting, Healthcare, Life Sciences, Pharmaceutical Consulting, Consumer Goods, Education, Transportation & Logistics, Media & Entertainment, Telecom, BFSI, Manufacturing, Utilities & Energies, and Corporate Recruitment. Moreover, we have developed a dedicated focus on Government Consulting.Our company prides itself on a meticulous approach, ensuring that we meet your specific needs. We have established a robust network of highly skilled professionals who are readily available to fulfill your requirements. With a strong commitment to excellence, we consistently deliver exceptional results for clients in India, Denmark, France, Germany, Ireland, Japan, Spain, Thailand, the USA, Canada and Mexico, with ongoing expansion efforts to serve more new regions in the near future.We consistently uphold the highest standards of quality by providing resources, time, and materials to design, implement, and support efficient operations for organizations. Our track record of measurable accomplishments demonstrates our commitment to cultivating a balanced work and societal ecosystem.Our continuous growth, successful customer engagements, and strong customer retention exemplify our achievements. Furthermore, our passion lies in streamlining complex business processes through the application of suitable technology, which has been integral to our success.We extend an invitation to join our dynamic workplace, offering rapid growth opportunities, excellent employee benefits, and a positive work-life balance.

Company details

Company typeScaleup
IndustryBusiness Consulting & Services
Company size201 - 500

Links

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Job description

Job Summary: We are seeking an experienced Data Engineer/Software Engineer to join our Multi-Cloud Efficiency (MCE) team. In this role, you will play a critical part in scaling cost attribution infrastructure and enhancing financial visibility across our cloud platforms. Your work will directly support internal stakeholders, including Technical Program Managers (TPMs), Finance, and Infrastructure teams, by delivering high-impact engineering solutions that drive cost optimization and operational efficiency.
Key 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.
Required Skills & Qualifications:
  • 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.
Preferred Qualifications:
  • 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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