Summary
✨ AI‑Generated
Help build modern data and application platforms as an experienced Data Engineer / Databricks Application Engineer. You will design scalable pipelines, develop ingestion and transformation frameworks, build orchestration solutions, and deliver enterprise integrations while collaborating closely with business and technology stakeholders.
Highlights
Opportunity to help transition from legacy data archival toward modern data platforms, with hands-on work in Databricks, scalable data engineering, application development, and enterprise integrations.
Description
Job Description:
We are seeking a skilled Data Engineer / Databricks Application Engineer to support our evolving technology roadmap as we transition from traditional data archival initiatives toward building modern platform capabilities and Databricks-based application solutions.
This role will play a key part in designing, developing, and maintaining scalable data and application platforms, enabling the delivery of innovative business solutions.
The ideal candidate will have strong experience in Databricks, data engineering, software development, and enterprise integrations, with the ability to work closely with stakeholders across business and technology teams.
Key Responsibilities:
Data Engineering
Design, build, and maintain data pipelines using the Databricks native platform.
Develop and support data ingestion, transformation, and orchestration frameworks.
Build and manage solutions leveraging Lakeflow Connect and Lakeflow Pipelines.
Develop scalable data processing solutions using Python and SQL.
Ensure data quality, reliability, and performance across batch and near real-time workloads.
Collaborate with architecture and platform teams to implement data governance and best practices.
Software Engineering
Design and develop modern web-based applications integrated with Databricks platforms.
Build and consume REST APIs to support application and platform integrations.
Implement secure API authentication and authorization mechanisms.
Participate in application design, development, testing, deployment, and support activities.
Contribute to CI/CD pipelines and promote DevOps best practices across projects.
Platform & Integration
Support enterprise integration requirements across multiple systems and platforms.
Develop scalable, maintainable solutions aligned with enterprise architecture standards.
Work closely with business stakeholders to understand requirements and translate them into technical solutions.
Troubleshoot and resolve complex technical issues while ensuring high system availability and performance.
Required Skills & Experience:
Extensive years of experience in Data Engineering and Software Engineering.
Hands-on experience with the Databricks Native Platform
Strong experience with:
Lakeflow Connect
Lakeflow Pipelines
Data ingestion, transformation, and orchestration frameworks
Proficiency in Python and SQL.
Solid understanding of modern web application architecture.
Experience with REST API design, development, and integration.
Strong knowledge of API security and authentication concepts.
Experience working across the Software Development Lifecycle (SDLC).
Familiarity with CI/CD practices and DevOps methodologies.
Strong analytical, troubleshooting, and problem-solving skills
Preferred:
Experience developing Databricks Apps.
Cloud-native application development experience.
Knowledge of enterprise integration patterns and distributed systems.
Experience working within Agile delivery environments.
Strong stakeholder engagement, communication, and collaboration skills
