Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products.

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

From the employer’s posting

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

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

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

What you’ll bring

All qualifications

Core experience

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

Preferred experience

Experience with streaming or near-real-time data systems
Familiarity with data governance, observability, and security best practices

Qualification wording

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

5+ years of experience in data engineering or related roles

Experience with data warehousing and data modeling techniques

Proven experience building production-grade data pipelines

Strong understanding of cloud-based data architectures

Experience with streaming or near-real-time data systems

Familiarity with data governance, observability, and security best practices

Tools in this posting

Python
SQL
AWS
Azure
dbt
Kafka
Spark
Airflow
Google Cloud (GCP)

Source

- 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

Preferred Experience - Cloud platforms (AWS, Azure, or GCP) - Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)

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

Job description

View original posting ↗

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

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on continuus.isolvedhire.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Germantown, WI, US

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at continuus.isolvedhire.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 3, 2026
Recorded sightings: 61
Last seen by us: Sep 26, 2026
Employer says posted: Jan 27, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn