Senior Data Engineer

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

Role Overview

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key part in technical decision-making, reliability, and mentoring while partnering closely with analytics, product, and engineering teams.

Key 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

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of experience in data engineering or related roles
• Advanced SQL and strong proficiency in Python (or similar language)
• Experience with data warehousing and data modeling techniques
• Proven experience building production-grade data pipelines
• Strong understanding of cloud-based data architectures

Preferred Experience

• Cloud platforms (AWS, Azure, or GCP)
• Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)
• Experience with streaming or near-real-time data systems
• Familiarity with data governance, observability, and security best practices