Staff Data Engineer

Continuus Technologies LLC; Town of Germantown (WI); On-site; USD 150,000 - 190,000; Full time

Job summary

Continuus Technologies LLC in Wisconsin seeks a Staff Data Engineer to design, scale, and govern our data platform and pipelines, setting standards, driving architecture, and mentoring engineers in collaboration with analytics, product, and business leads.

You will own scalable pipelines, define data models, ensure quality, lineage, and observability, and lead incident response while shaping long-term data strategy. 7+ years of experience and strong SQL/Python are required.

Qualifications

• 7+ years of experience in data engineering or related roles
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Advanced SQL and strong proficiency in Python (or similar language)
• Deep experience with data warehousing and data modeling
• Proven experience designing production-grade ETL/ELT pipelines
• Strong understanding of distributed systems and data architecture

Responsibilities

• Architect and own scalable, resilient data pipelines and platforms
• Lead design decisions for data ingestion, transformation, and storage
• Establish best practices for data modeling, testing, observability, and reliability
• Drive data quality, lineage, and governance frameworks
• Serve as a technical mentor for junior and mid-level data engineers
• Partner with analytics, product, and business stakeholders to translate needs into data solutions
• Evaluate and implement modern data tools and cloud technologies
• Lead incident response, root cause analysis, and long-term remediation
• Contribute to roadmap planning and long-term data strategy

Skills

Advanced SQL

Python proficiency

Data warehousing

ETL/ELT pipelines

Distributed systems

Mentoring

Stakeholder collaboration

Education

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

Tools

Airflow

dbt

Spark

Kafka

Job description

Role Overview

The Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.

Key Responsibilities

• Architect and own scalable, resilient data pipelines and platforms

• Lead design decisions for data ingestion, transformation, and storage

• Establish best practices for data modeling, testing, observability, and reliability

• Drive data quality, lineage, and governance frameworks

• Serve as a technical mentor for junior and mid-level data engineers

• Partner with analytics, product, and business stakeholders to translate needs into data solutions

• Evaluate and implement modern data tools and cloud technologies

• Lead incident response, root cause analysis, and long-term remediation

• Contribute to roadmap planning and long-term data strategy

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

• 7+ years of experience in data engineering or related roles

• Advanced SQL and strong proficiency in Python (or similar language)

• Deep experience with data warehousing and data modeling

• Proven experience designing production-grade ETL/ELT pipelines

• Strong understanding of distributed systems and data architecture

Preferred Experience

• Cloud data platforms (AWS, Azure, or GCP)

• Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)

• Data observability, monitoring, and reliability tooling

• Experience supporting analytics, BI, ML, or product data use cases

• Prior experience influencing technical strategy without direct authority