Azure Databricks Engineer

Ethereum Technologies LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Ethereum Technologies in Dallas, TX seeks an experienced Azure Databricks Engineer to design, build, and optimize large-scale data pipelines and lakehouse architectures using Azure Databricks, PySpark, and Spark SQL. You will work with Azure Data Factory, ADLS Gen2, and Delta Lake, implement CI/CD, model data, and collaborate with architects and analysts to deliver scalable, cost-efficient data solutions.

The role requires hands-on development, performance tuning, data quality checks, and close

Qualifications

• Minimum hands-on experience with Azure Databricks and Spark.
• Strong Python and SQL data warehousing knowledge.
• Experience building scalable data pipelines and lakehouse architectures.
• Familiarity with ADF, ADLS Gen2, and Delta Lake.
• Experience with CI/CD and DevOps practices.

Responsibilities

• Design, develop, and optimize scalable data pipelines on Azure Databricks.
• Implement ETL/ELT workflows using PySpark and Spark SQL.
• Tune Spark jobs for performance and cost efficiency.
• Develop data models, integrations, and migrations.
• Collaborate with stakeholders and implement CI/CD deployment processes.
• Apply data quality checks, monitoring, and error handling.

Skills

Python

Spark

SQL

Data Warehousing

ETL/ELT

Data Modeling

Performance Tuning

Data Governance

CI/CD

Tools

Azure Databricks

PySpark

Spark SQL

Azure Data Factory

Azure Data Lake Storage Gen2

Delta Lake

Azure DevOps

Terraform

Kafka

Event Hubs

Azure Synapse Analytics

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-4-EAD, Other

Job Description

We are looking for an experienced Azure Databricks Engineer with strong expertise in building scalable data engineering solutions using Azure Databricks, Apache Spark, Python, and Azure Data Services. The ideal candidate should have hands-on experience in designing, developing, and optimizing large-scale data pipelines and Lakehouse architectures.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Build ETL/ELT workflows using PySpark, Python, and Spark SQL.
• Develop and optimize complex SQL queries and data transformations.
• Work with Azure Data Factory (ADF) for orchestration and workflow automation.
• Work with Azure Data Lake Storage Gen2 (ADLS).
• Perform data modelling, data integration, and data migration.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality checks, monitoring, and error handling.
• Collaborate with data architects, analysts, and business stakeholders.
• Implement CI/CD pipelines and deployment processes.

Required Technical Skills

• Strong hands-on experience with Azure Databricks.
• Excellent programming skills in Python and PySpark.
• Strong knowledge of Apache Spark and Spark SQL.
• Experience with Azure Data Factory (ADF).
• Hands-on experience with Azure Data Lake Storage Gen2.
• Strong understanding of Delta Lake and Lakehouse architecture.
• Expertise in SQL and data warehousing concepts.
• Experience with Azure DevOps and CI/CD.
• Knowledge of data pipeline optimization and performance tuning.

Good to Have

• Experience with Unity Catalog and Databricks Workflows.
• Knowledge of Databricks Asset Bundles.
• Experience with Azure Synapse Analytics.
• Knowledge of Terraform and infrastructure automation.
• Experience with streaming technologies such as Kafka or Event Hubs.
• Understanding of data governance and security.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.