Envision Technology Solutions

Databricks Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Databricks Developer with 14+ years of experience, focusing on Python, Apache Spark, and Databricks. Contract length is unspecified, and the pay rate is "unknown." Location is Wilmington, DE or Plano, TX.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Wilmington, DE
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Processing #Data Engineering #Databricks #Batch #Kafka (Apache Kafka) #Automation #Security #Deployment #GCP (Google Cloud Platform) #Azure #Cloud #MLflow #Python #Logging #GIT #Programming #Data Governance #Spark (Apache Spark) #SQL (Structured Query Language) #Apache Spark #Data Quality #AWS (Amazon Web Services) #Data Pipeline #Scala #PySpark #Airflow #Delta Lake #Spark SQL #ADF (Azure Data Factory) #Azure Data Factory #Agile
Role description
Job Title: Lead Databricks Developer Location: Wilmington, DE or Plano, TX Experience Level-14+ Years Summary: We are looking for a Lead Databricks Developer with strong experience in Python and Apache Spark to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have hands-on expertise in Databricks, PySpark, SQL, and modern data engineering practices. Key Responsibilities:- Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark- Build scalable batch and real-time data processing solutions using Apache Spark- Develop data transformation workflows using Python, PySpark, and Spark SQL- Implement Delta Lake solutions and optimize data processing performance- Create and manage Databricks notebooks, jobs, and workflows- Ensure data quality, validation, logging, and exception handling- Optimize Spark performance using partitioning, caching, and tuning techniques- Collaborate with cross-functional teams to gather requirements and deliver solutions- Support CI/CD, deployment automation, and production releases- Troubleshoot and resolve issues in data pipelines and platform processes Required Skills:- • Strong hands-on experience with Databricks • Strong Python programming skills • Strong in communication and proactive. • Expertise in Apache Spark, PySpark, and Spark SQL- Strong SQL and data transformation skills • Experience with Delta Lake and lakehouse concepts- Knowledge of ETL/ELT and data pipeline design • Experience with AWS, Azure, or GCP- Familiarity with Git, CI/CD, and Agile practices • Good problem-solving and communication skills Preferred Skills:- • Experience with Airflow, Azure Data Factory, or Databricks Workflows • Knowledge of Kafka or streaming frameworks • Experience with MLflow or analytics platforms • Understanding of data governance and security best practices