(US) Fullstack Data Engineer - DatabricksCodvo.ai • Dallas, Texas, United States

(US) Fullstack Data Engineer - Databricks

Codvo.ai • Dallas, Texas, United States

[job_card.30_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

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

Core 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-Have

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.

Qualifications

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.

Soft Skills

Strong problem-solving and analytical skills.

Ability to work in fusion teams (business + engineering + AI / ML).

Clear communication and documentation abilities.

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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