Senior Data Engineer: Build Scalable Pipelines & Platforms

Continuus Technologies LLC; Town of Germantown (WI); On-site; USD 110,000 - 170,000; Full time

Job summary

Continuus Technologies LLC is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and platforms that support analytics, reporting, and data-driven products. This role partners closely with analytics, product, and engineering teams, drives reliability, mentoring, and technical decision-making to improve data quality and performance across systems.

You will work with cloud-based architectures and orchestration tools such as Airflow, dbt, Spark, and Kafka to

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.
• 5+ years of experience in data engineering or related roles.
• Advanced SQL and Python proficiency required.
• Experience with data warehousing and data modeling techniques.
• Proven experience building production-grade data pipelines.
• Strong understanding of cloud-based data architectures.

Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines
• Develop and maintain data models in data warehouses and lakes
• Ensure data reliability, quality, and performance across systems
• Collaborate with analysts and stakeholders to deliver analytics-ready data
• Lead technical design reviews and contribute to architectural decisions
• Monitor and troubleshoot pipeline failures and performance issues
• Implement best practices for testing, version control, and documentation
• Mentor junior data engineers and review code
• Contribute to data platform roadmap and continuous improvement

Skills

Advanced SQL

Python

Data modeling

ETL/ELT pipelines

Mentoring

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Airflow

dbt

Spark

Kafka

Job description

Continuus Technologies LLC is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and platforms that support analytics, reporting, and data-driven products. This role partners closely with analytics, product, and engineering teams, drives reliability, mentoring, and technical decision-making to improve data quality and performance across systems.

You will work with cloud-based architectures and orchestration tools such as Airflow, dbt, Spark, and Kafka to