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Job Details
Sr Data Engineer
Full Time/Direct Hire
Austin, TX
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Python or Dataiku
Ingest and process large datasets from multiple sources (APIs, databases, flat files)
Build and optimize data models and transformations in Snowflake
Develop reusable and scalable data workflows
Monitor, troubleshoot, and improve pipeline performance and reliability
Ensure data quality, governance, and security best practices
Collaborate with cross-functional teams to support analytics and machine learning initiatives
Automate data processes and workflows for efficiency
Document data architecture, pipelines, and processes
Required Skills & Qualifications
Strong proficiency in Python (pandas, NumPy, scripting, APIs)
Solid experience with Snowflake (SQL, data modeling, performance tuning)
Experience/Knowledge with Dataiku is a plus (data pipelines, visual recipes, automation)
Advanced knowledge of SQL and relational databases
Experience with ETL/ELT processes and data pipeline design
Understanding of data warehousing concepts (star/snowflake schema)
Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform)
Experience with version control systems (e.g., Git)
Strong problem-solving and analytical skills
Job Details
Sr Data Engineer
Full Time/Direct Hire
Austin, TX
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Python or Dataiku
Ingest and process large datasets from multiple sources (APIs, databases, flat files)
Build and optimize data models and transformations in Snowflake
Develop reusable and scalable data workflows
Monitor, troubleshoot, and improve pipeline performance and reliability
Ensure data quality, governance, and security best practices
Collaborate with cross-functional teams to support analytics and machine learning initiatives
Automate data processes and workflows for efficiency
Document data architecture, pipelines, and processes
Required Skills & Qualifications
Strong proficiency in Python (pandas, NumPy, scripting, APIs)
Solid experience with Snowflake (SQL, data modeling, performance tuning)
Experience/Knowledge with Dataiku is a plus (data pipelines, visual recipes, automation)
Advanced knowledge of SQL and relational databases
Experience with ETL/ELT processes and data pipeline design
Understanding of data warehousing concepts (star/snowflake schema)
Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform)
Experience with version control systems (e.g., Git)
Strong problem-solving and analytical skills