(US) Fullstack Data Engineer - Databricks at Codvo.ai

Job Description:Data Engineer – Databricks Role OverviewWe are looking for a highly skilled Full Stack Data Engineer with expertise in Databricks to design, develop, and optimize end-to-end data pipelines, data platforms, and analytics solutions. This role combines strong data engineering, cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions.Key ResponsibilitiesDesign and develop ETL/ELT pipelines on Databricks (PySpark, Delta Lake, SQL).Architect data models (batch and streaming) for analytics, ML, and reporting.Optimize performance of large-scale distributed data processing jobs.Implement CI/CD pipelines for Databricks workflows using GitHub Actions, Azure DevOps, or similar.Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.Ensure data quality, lineage, governance, and security compliance. Required Skills & QualificationsCore Databricks Skills:Strong in PySpark, Delta Lake, Databricks SQL.Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables.Programming & Full Stack:Python (mandatory), SQL (expert).Exposure to Java/Scala (for Spark jobs).Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.Cloud Platforms:Proficiency with at least one: Azure Databricks, AWS Databricks, or GCP Databricks.Knowledge of cloud storage (ADLS, S3, GCS), IAM, networking.DevOps & CI/CD:Git, CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).Containerization (Docker, Kubernetes is a plus).Data Engineering Foundations:Data modeling (OLTP/OLAP).Batch & streaming data processing (Kafka, Event Hub, Kinesis).Data governance & compliance (Unity Catalog, Lakehouse security). Nice-to-HaveExperience with machine learning pipelines (MLflow, Feature Store).Knowledge of data visualization tools (Power BI, Tableau, Looker).Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.QualificationsBachelor’s or Master’s in Computer Science, Data Engineering, or related field.4–7 years of experience in data engineering, with at least 2 years on Databricks.Soft SkillsStrong problem-solving and analytical skills.Ability to work in fusion teams (business + engineering + AI/ML).Clear communication and documentation abilities. About UsAt 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.