Senior Data Engineer: Databricks, Delta Lake & Cloud

Ampcus, Inc; Beaverton (OR); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Ampcus Inc. is seeking a seasoned Data Engineer to join our hybrid Beaverton team. You will drive data pipeline development, leverage Databricks, and implement scalable ETL/ELT solutions using Python and SQL across Azure/AWS/GCP.

Ideal candidates have 5+ years in IT with a focus on data engineering, cloud experience, and strong collaboration skills to work with cross-functional groups on enterprise data initiatives.

Qualifications

• 5+ years IT experience with 5 years in Data Engineering.
• Hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake).
• Strong programming skills in Python and SQL.
• Experience building scalable ETL/ELT pipelines and data engineering solutions.
• Hands-on experience with Azure/AWS/GCP, preferably Azure, and orchestration tools (ADF/Airflow).
• Strong understanding of data modeling, data warehousing, and performance optimization.
• Experience with Git, CI/CD, and DevOps best practices.
• Knowledge of Delta Live Tables, Unity Catalog, and Structured Streaming is preferred.
• Ability to collaborate with business and cross-functional teams to deliver enterprise data solutions.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collaborate with business and cross-functional teams to deliver enterprise data solutions.
• Design, build, and optimize scalable data pipelines and data models.
• Improve data warehousing performance and data quality across platforms.
• Assist with data governance and security considerations within cloud environments.

Skills

Python

SQL

ETL/ELT pipelines

Data engineering

Communication

Tools

Databricks (PySpark, Spark SQL, Delta Lake)

Azure

AWS

GCP

ADF/Airflow

Git

CI/CD

DevOps

Delta Live Tables

Unity Catalog

Structured Streaming

Job description

Ampcus Inc. is seeking a seasoned Data Engineer to join our hybrid Beaverton team. You will drive data pipeline development, leverage Databricks, and implement scalable ETL/ELT solutions using Python and SQL across Azure/AWS/GCP.

Ideal candidates have 5+ years in IT with a focus on data engineering, cloud experience, and strong collaboration skills to work with cross-functional groups on enterprise data initiatives.