Cummins

Data Engineer Principal

Cummins$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data engineering or related fields
  • Proven track record in leading enterprise-scale data solutions
  • Deep knowledge of modern data engineering practices
  • Experience in manufacturing and supply-chain environments
  • Strong hands-on expertise in SQL, Python/PySpark, and cloud data platforms

Responsibilities

  • Lead strategy for enterprise data platforms and analytics solutions
  • Translate complex requirements into actionable data solutions
  • Design scalable data architecture for improved accessibility and performance
  • Deliver robust data pipelines for quick insights
  • Champion data governance and quality standards
  • Drive initiatives for operational efficiency and cost optimization
  • Mentor and provide technical guidance to data engineering teams

Benefits

  • Opportunities for continuous learning and innovation
  • Work in a collaborative environment with cross-functional teams
  • Access to cutting-edge data technologies and tools
  • Possibility for career growth in a global company
  • Engagement with diverse enterprise systems across various functions
Full Job Description
Job Description

GPP Database Link

Job Summary:

We are looking for a talented Data Engineering Manager to join our Cummins Inc. team in Columbus, Indiana.

In this role, you will make an impact in the following ways:
  • Lead the strategy, architecture, and evolution of enterprise data platforms that enable scalable analytics, AI, and business intelligence solutions.
  • Partner with business leaders, product teams, and technical stakeholders to translate complex requirements into high-value data solutions.
  • Design and optimize data lake, lakehouse, data warehouse, and cloud-based architectures that improve data accessibility, quality, and performance.
  • Deliver resilient and reusable data pipelines that accelerate decision-making and reduce time-to-insight across the organization.
  • Champion data governance, security, compliance, and quality standards to ensure trusted and reliable enterprise data assets.
  • Drive continuous improvement initiatives that enhance scalability, operational efficiency, cost optimization, and platform performance.
  • Provide technical leadership, mentoring, and architectural guidance to data engineering teams while fostering engineering excellence.
  • Enable executive and business-critical decision making through the integration and delivery of data from diverse enterprise systems.


Responsibilities

To be successful in this role, you will need the following:
  • Proven ability to architect and deliver enterprise-scale data platforms, data models, and cloud-based analytics solutions that support business growth and innovation.
  • Deep expertise in modern data engineering practices, including scalable pipeline development, data integration, data modeling, distributed processing, and cloud-native architectures.
  • Strong leadership and stakeholder management skills with the ability to influence cross-functional teams, navigate ambiguity, and align technology solutions with business outcomes.
  • Advanced knowledge of data governance, security, compliance, and modern software engineering practices, including Agile, DevSecOps, CI/CD, and automation.
  • Demonstrated passion for innovation, continuous learning, and leveraging emerging technologies to drive measurable business value.


Education, Licenses, Certifications:

College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.

Qualifications

Additional Responsibilities & Preferred Key Competencies:
  • 10+ years of progressive experience in data engineering, data architecture, analytics engineering, or a closely related technical field, including experience leading complex enterprise data solutions.
  • Demonstrated depth of experience delivering enterprise data, analytics, or AI solutions within large, complex manufacturing and supply-chain environments, with experience across one or more areas such as planning, procurement, manufacturing, inventory, logistics, engineering, aftermarket, commercial, finance, or related operational functions.
  • Demonstrated ability to work directly with business stakeholders to understand complex business problems and processes, clarify requirements, explore available data, and develop prototypes or proof-of-concepts that validate solution approaches before scaling successful solutions into production.
  • Strong hands-on expertise in modern data engineering, including SQL, Python/PySpark, data modeling, scalable pipeline design, data integration, and distributed/cloud data platforms.
  • Demonstrated experience designing, building, and operating batch and streaming or near-real-time data pipelines, with consideration for orchestration, reliability, monitoring, recovery, scalability, and performance.
  • Experience integrating data across a variety of complex enterprise source systems, such as ERP and operational systems, legacy applications and databases, APIs, cloud platforms, event streams, IoT/telemetry sources, and structured or unstructured data.
  • Demonstrated experience designing and evolving enterprise-scale data architectures, including data lake, lakehouse, data warehouse, or comparable modern analytical platforms.
  • Strong data modeling experience, including relational, dimensional, and enterprise/domain data modeling, fact and dimension structures, star or snowflake schemas, conformed dimensions, and other appropriate modeling patterns supporting analytics, operational, and AI use cases.
  • Experience building reusable data engineering frameworks, shared data foundations, enterprise data models, and governed data products that can support multiple business, analytics, AI, and operational use cases rather than a single project.
  • Strong experience with modern enterprise data platforms such as Databricks, Snowflake, Azure data services, or comparable cloud/data technologies.
  • Proven ability to lead solutions across the full lifecycle, from business discovery, requirements definition, and data exploration through architecture, implementation, production deployment, monitoring, optimization, and ongoing support.
  • Demonstrated ability to work effectively in complex and ambiguous data environments involving multiple source systems, evolving requirements, data-quality issues, integration constraints, and competing business needs.
  • Strong ability to collaborate across Business, Data Science, AI Engineering, Analytics, Enterprise Architecture, application, and platform teams to translate business needs into scalable and practical technical solutions.
  • Experience providing technical leadership, including architecture guidance, design reviews, engineering standards, solution trade-off decisions, mentoring, and coaching of engineers and other technical contributors.
  • Demonstrated understanding of the data engineering and architecture foundations required to enable advanced analytics, machine learning, GenAI, and other AI-enabled solutions, while maintaining appropriate standards for data quality, governance, security, scalability, reuse, performance, and cost.
    Preferred Key Competencies:
  • Experience designing enterprise-level analytical, operational, or domain data models spanning multiple manufacturing and supply-chain business functions and source systems.
  • Experience implementing metadata-driven pipelines, reusable ingestion frameworks, self-service data capabilities, data governance, lineage, observability, or reusable data-product patterns.
  • Experience with data architecture and engineering patterns supporting GenAI and RAG solutions, including document ingestion and processing, embeddings, vector search/vector databases, semantic models, knowledge graphs, ontologies, or retrieval pipelines.
  • Experience working with manufacturing and supply-chain technologies and data sources such as ERP/MRP, MES, PLM, WMS, TMS, planning systems, engineering systems, or IoT/connected-product platforms.
  • Demonstrated ability to balance near-term business delivery with longer-term architecture, scalability, reuse, governance, cost optimization, and technical debt.
  • Relevant Databricks, Snowflake, Azure, AWS, GCP, or comparable data-platform certifications are a plus; demonstrated production experience and technical depth are valued more strongly than certification alone.


Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate's qualifications and experience, where appropriate.

About Cummins

Cummins Power Generation is a world leader in the design and manufacture of power generation equipment, including PowerCommand standby and prime power systems. They also provide single-source warranty, planned maintenance, and round-the-clock emergency service 24 hours a day, seven days a week including back-up power rental through their network of distributors. Part of the world-wide power systems business which has annual sales of more than $1.2 billion, Cummins Power Generation's strength comes from being a division of Cummins Inc. Cummins Power Generation has unique expertise in that all aspects of generator set design, manufacture and service have been brought together in one company. All the major components - the engine, alternator and control systems - are manufactured by divisions of Cummins. This integral approach means each element of a generating set is matched to work in harmony from the start. Providing what the customer wants is at the core of Cummins' manufacturing philosophy. For generating set customers this means a choice of mobile, stationary, open or sound attenuated versions is available for all models.

Cummins Careers

Join the dynamic world of Cummins, a global leader in power solutions, where innovation and leadership drive our mission to power a more prosperous world. At Cummins, we offer unparalleled job opportunities in engineering, technology, and business management, making it an ideal place for professionals seeking meaningful and impactful careers. Work You’ll Do At Cummins, you’ll be part of a team that values diversity and is committed to creating inclusive growth opportunities for all employees. Our culture thrives on intellectual curiosity, cognitive diversity, and bringing your whole self to work. We believe in your potential and encourage every team member to reach their personal and professional goals. Join our industry-leading team to help develop groundbreaking solutions and technologies that impact markets and communities across the globe. Your work at Cummins will not only contribute to global innovation but also ensure sustainable practices that benefit future generations. Professional Growth and Development Cummins is dedicated to the professional growth of its employees. We offer a variety of leadership and diversity training programs designed to enhance your skills and advance your career. From hands-on internships for emerging talents to leadership programs for seasoned professionals, Cummins provides resources and global opportunities to learn, thrive, and lead in your respective field. Innovative Work Environment Our commitment to innovation is at the core of what we do. At Cummins, you will collaborate with skilled colleagues who are eager to share knowledge and ideas. We foster an environment where creative thinking and proactive leadership are encouraged, driving us forward in the areas of clean energy and environmental sustainability. Benefits and Culture Cummins employees enjoy a range of benefits designed to support their physical, financial, and emotional well-being. Among these are comprehensive health care options, competitive retirement plans, and flexible work arrangements. Our supportive culture champions community involvement and a work-life balance that accommodates the diverse needs of our team members. Join Our Team Explore the numerous job opportunities at Cummins where your skills and interests can be matched with the right position, helping you to excel. We are continuously hiring and looking for ambitious, curious, and innovative individuals ready to make a significant impact. Stay Connected Keep up to date with the latest at Cummins by following our careers blog. Gain insights from insiders, learn about our employment practices, and discover how our team is leading the charge in global power solutions. Job Alert Emails Customize your experience by subscribing to Cummins job alerts. Receive updates on new postings, company news, and insider tips directly tailored to your career interests. See what exciting and rewarding opportunities await at Cummins. At Cummins, your career is just beginning. Join us, and power your potential on a global stage.
Learn more about Cummins
Size
59,900 employees
Market Cap
$34.3 billion
Industry
Net Income
$1.7 billion
Founded
1919
5 Year Trend
+6.5%
Revenue
$19.8 billion
NASDAQ

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