Senior Data Engineer

Rockwell Automation

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Milwaukee, WIMayfield Heights, OH
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k

$120k most similar roles pay here $223k

This listing doesn't post a salary. Most similar roles pay $140,000–$212,875.

Based on 240 similar postings.

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About Rockwell Automation

Rockwell Automation, Inc. is a global leader in industrial automation and digital transformation.

Rockwell Automation currently has 18 open roles on FindRole.

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At a glance

TL;DR · Senior Data Engineer

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As a Senior Data Engineer - CMD/CML, you will join the Common Data Model / Common Data Layer team to design, develop, and deliver scalable data management solutions for the enterprise. You will be responsible for building data acquisition, integration, and transformation pipelines while architecting data structures that enable "Data as a Service" across various business units. Your daily work involves coding and testing infrastructure components in cloud and edge environments, managing DevOps pipelines for continuous integration, and implementing containerization models. To succeed, you must utilize technologies including Microsoft Azure PaaS tools, Azure ADF, ADLS, Databricks, SAP Data Services, SQL, and tabular models. You will solve complex data problems by collaborating with architects and product owners to translate technical requirements into reliable, high-performance systems that provide actionable insights across the global organization.

What does a Data Engineer earn?

Median $162000 from 190 postings across 57 companies.

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Skills

Azure Azure ADF ADLS Databricks SAP Data Services SQL Containerization DevOps Agile

What you'll do

Design, code, and test data management solutions including acquisition, integration, and transformation pipelines.
Architect scalable data structures and pipelines to enable "Data as a Service" across business units.
Develop infrastructure components in cloud and edge environments using Azure ADF, ADLS, Databricks, and SAP Data Services.
Manage DevOps pipelines for continuous integration and deployment while implementing containerization models.
Translate business requirements from stakeholders into high-quality code and application enhancements.
Distill complex data into clear narratives and actionable recommendations for business stakeholders.

What we're looking for

Bachelor's Degree or equivalent years of relevant work experience.
Typically requires 8+ years of relevant experience in data or software engineering (preferred).
Experience in the full systems development lifecycle and Agile methodologies (preferred).
Proficiency in data management technologies such as Azure ADF, ADLS, SQL, Databricks, SAP Data Services, and tabular models (preferred).
Strong understanding of server-side architectures, containerization, and DevOps practices (preferred).
Ability to manage multiple projects simultaneously and adapt quickly to new technologies and business needs (preferred).
Familiarity with open-source data management tools and domain-specific programming languages (preferred).
Experience working with business stakeholders to translate data into actionable insights and clear narratives (preferred).

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