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 strong 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

Strong experience with Databricks, Apache Spark, and data pipelines

Backend development experience (Python, Java, or Scala)

Experience integrating data platforms with SaaS application backends

Strong 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 Databricks–SaaS integrations

High data quality and observability across pipelines

Well-designed APIs and workflows supporting business growth