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# Data Engineer

- **Company:** Kanak Elite Services Inc
- **Location:** Bay Point, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Microsoft Azure, Big Data, BigQuery, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Document-Oriented Databases, Python (Programming Language), Machine Learning, Performance Tuning, Power BI, Azure Machine Learning, SQL Databases, Systems Integration, Tableau (Software), Feature Store, Data Processing, Apache Spark, Git, Data Lakes, Information Technology, Collibra, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines, Databricks
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/39de0a74-6984-4e70-9536-8fa21235a8d2/data-engineer

## About the Role

* Bachelor's or Master's in Computer Science, Data Engineering, or a related field
 * 5+ years of experience in data engineering or a similar role
 * Strong hands-on experience with Databricks and Apache Spark (Python, Scala, or SQL)
 * Proficiency with Delta Lake, Unity Catalog, and data lake architectures
 * Experience with cloud platforms (Azure, AWS, or GCP), especially data services (e.g., S3, ADLS, BigQuery)
 * Familiarity with CI/CD pipelines, version control (Git), and job orchestration tools (Airflow, DB Workflows)
 * Strong understanding of data warehousing concepts, performance tuning, and big data processing

Preferred Skills:

 * Experience with MLflow, Feature Store, or other machine learning tools in Databricks
 * Knowledge of data governance tools like Unity Catalog or Purview
 * Experience integrating BI tools (Power BI, Tableau) with Databricks
 * Databricks certification(s) (Data Engineer Associate/Professional, Machine Learning, etc.)

## Description

We are seeking a skilled Data Engineer with hands-on Databricks experience to design, build, and optimize large-scale data pipelines and analytics solutions. You will work with cross-functional teams to enable scalable data processing using the Databricks Lakehouse Platform on Azure., * Design and implement ETL/ELT pipelines using Databricks, Delta Lake, and Apache Spark

 * Collaborate with data scientists, analysts, and stakeholders to deliver clean, reliable, and well-modeled data
 * Build and manage data workflows with Databricks Jobs, Notebooks, and Workflows
 * Optimize Spark jobs for performance, reliability, and cost-efficiency
 * Maintain and monitor data pipelines, ensuring availability and data quality
 * Implement CI/CD practices for Databricks notebooks and infrastructure-as-code (e.g., Terraform, Databricks CLI)
 * Document data pipelines, datasets, and operational processes
 * Ensure compliance with data governance, privacy, and security policies