Databricks Engineer

Remote • Posted 3 days ago • Updated 3 days ago

Contract W2

Contract Independent

Remote

Depends on Experience

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Python
Databricks
pyspark
unity catalogue
Data Lake
Data Governance
ELT

Summary

Job Title: Databricks Engineer (Big Data Engineer)

Job Location: Remote (Visit Austin office once a Month)

Job type: Long-term Contract

Job Description

The Worker is responsible for developing, maintaining, and optimizing big data solutions using the Databricks Unified Analytics Platform.
This role supports data engineering, machine learning, and analytics initiatives within this organization that relies on large-scale data processing.

Duties include:

Designing and developing scalable data pipelines
Implementing ETL/ELT workflows
Optimizing Spark jobs
Integrating with Azure Data Factory
Automating deployments
Collaborating with cross-functional teams
Ensuring data quality, governance, and security.

Required skills and qualifications

Implement ETL/ELT workflows for both structured and unstructured data
Automate deployments using CI/CD tools
Collaborate with cross-functional teams including data scientists, analysts, and stakeholders
Design and maintain data models, schemas, and database structures to support analytical and operational use cases
Evaluate and implement appropriate data storage solutions, including data lakes (Azure Data Lake Storage) and data warehouses
Implement data validation and quality checks to ensure accuracy and consistency
Contribute to data governance initiatives, including metadata management, data lineage, and data cataloging
Implement data security measures, including encryption, access controls, and auditing; ensure compliance with regulations and best practices
Proficiency in Python and R programming languages
Strong SQL querying and data manipulation skills
Experience with Azure cloud platform
Experience with DevOps, CI/CD pipelines, and version control systems
Working in agile, multicultural environments
Strong troubleshooting and debugging capabilities
Design and develop scalable data pipelines using Apache Spark on Databricks
Optimize Spark jobs for performance and cost-efficiency
Integrate Databricks solutions with cloud services (Azure Data Factory)
Ensure data quality, governance, and security using Unity Catalog or Delta Lake
Deep understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL
Hands-on experience with Databricks notebooks, clusters, jobs, and Delta Lake
Knowledge of ML libraries (MLflow, Scikit-learn, TensorFlow)
Databricks Certified Associate Developer for Apache Spark
Azure Data Engineer Associate

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: DAMAN
Position Id: 8854321
Posted 3 days ago

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Databricks Engineer

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Job Details

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