Description

You will design and maintain enterprise-scale data applications and ETL/ELT workflows within a cloud-native environment.

Responsibilities

• Design, develop, and maintain enterprise-scale data applications using Databricks and cloud platforms.
• Build and optimize ETL/ELT workflows to support analytics and decision-making.
• Develop software for retrieving, parsing, and processing structured and unstructured data.
• Implement and manage data pipelines and transformations across distributed systems.
• Ensure compliance with data security, governance, and audit requirements.

Required Skills

• 6+ years of experience designing and maintaining enterprise-scale data applications.
• 3+ years of software development experience using Python, SQL, or Java.
• 3+ years of experience building scalable ETL/ELT workflows.
• 2+ years of direct Databricks experience.
• Databricks Certified Data Engineer Professional certification (mandatory).
• Expertise in data warehousing including AWS Redshift, PostgreSQL, MySQL, or Snowflake.
• Experience with distributed computing tools such as Spark, AWS EMR, or Kafka.
• Hands-on experience with public cloud platforms (AWS, Azure, or GCP).
• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Ability to obtain and pass an IRS Moderate Risk Background Investigation (MBi).

Preferred Skills

• Experience with Palantir Foundry.
• Hands-on experience with UNIX/Linux and shell scripting.
• Experience with real-time data and streaming applications.
• Master’s degree.

Key Skills

Education

Bachelor's degree