(US) Fullstack Data Engineer - Databricks
Codvo.aiDallas, Texas, United States30+ days ago
Job type
- Full-time
Job descriptionCore 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). Experience 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. Bachelor’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. Strong problem-solving and analytical skills. Ability to work in fusion teams (business + engineering + AI / ML). Clear communication and documentation abilities.
Job Description :
Data Engineer – Databricks
Role Overview
We 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 Responsibilities
- Design 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 & Qualifications
Nice-to-Have
Qualifications
Soft Skills
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.
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Fullstack Engineer • Dallas, Texas, United States
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