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Job Title: Senior Data Engineer Databricks & SaaS (Software-as-a-Service) Integrations About Us At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. Role Overview We are seeking a Senior Data Engineer with solid Databricks and backend integration experience to design, build, and operate secure, scalable data integrations between Databricks data pipelines and Software-as-a-Service (SaaS) application platforms. This role focuses on batch and streaming data flows, API-driven integrations, event-based triggers, and enterprise-grade data reliability. Key Responsibilities Design and implement integrations between Databricks workflows and SaaS application backends Enable batch and streaming data flows, event triggers, and API-based communication Build backend services such as REST APIs, webhooks, and data interfaces Implement data quality, validation, monitoring, and observability mechanisms Design secure and auditable pipelines including authN, authZ, and RBAC Troubleshoot pipeline failures, performance bottlenecks, and data inconsistencies- Collaborate with application, platform, and data engineering teams Required Skills & Experience Solid experience with Databricks, Apache Spark, and data pipelines Backend development experience (Python, Java, or Scala) Experience integrating data platforms with SaaS application backends Robust knowledge of REST APIs and event-driven architectures Experience working with AWS or Azure cloud platforms Understanding of enterprise security (authN, authZ, RBAC) Experience with spec-driven development and coding agents Nice to Have Event-driven systems using Kafka, SNS, SQS, or similar Experience with streaming and real-time data processing- Exposure to data observability and monitoring tools What Success Looks Like Reliable, secure, and scalable DatabricksSaaS integrations High data quality and observability across pipelines Well-designed APIs and workflows supporting business growth .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.