1,000+ matching jobs for “Senior Data Engineer”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Cardinal Health

Senior Analyst, Data Engineering

IND07

Senior Analyst, Data Engineering - Platform Engineering What Data Engineering Contributes to Cardinal Health The …

Added Oct 27, 2026

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Visa

Senior Manager, Data Engineering

Foster City, California, United States

Pay posted by employer$192,100–$307,800 USD per year

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation …

Added Oct 27, 2026

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Nvidia

Senior Manager, Training Data

Santa Clara, California, United States

NVIDIA is seeking a senior product leader to define the strategy and build the platforms that deliver high-quality training data for …

Added Oct 29, 2026

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Capital One Financial

Senior Associate, Data Science

McLean, Virginia, United States

Senior Associate, Data Science positions offered by Capital One Services, LLC ( McLean, Virginia ). Partner with a …

Added Oct 27, 2026

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Amgen

… more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE The GCF4 Senior ML Engineer – Agentic AI & Scientific …

Added Oct 15, 2026

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Capital One Financial

Senior Director, Data Science

McLean, Virginia, United States +4 locations

Senior Director, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit …

Added Oct 27, 2026

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Carrier Global

Senior Thermal Systems Engineer – Data Center Cooling

Charlotte, North Carolina, United States

Pay posted by employer$79,000–$158,000 per year

As a Senior Thermal Systems Engineer specializing in Water-Cooled Chiller Systems at Carrier, you will be a key member …

Added Oct 27, 2026

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General Mills

Sr. Infrastructure Engineer – Data Platforms (Python + Cloud)

Pune, Maharashtra, India

Hybrid
Full time
Regular

… ourselves with people who are hungry for what’s next. 
 OVERVIEW Are you a cloud automation engineer who thrives in a fast-paced, multi-platform environment? As a Senior Infrastructure Engineer on our Digital …

Added Oct 27, 2026

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Amgen

Senior Associate Data Scientist

India - Hyderabad

… processes, ensuring that patient voices are heard and addressed with utmost precision. As the Sr Associate Data Scientist at Amgen, you will be responsible for developing and deploying basic machine learning, …

Added Oct 18, 2026

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Adobe

Sr. Manager, Data Engineering

Bengaluru, Karnataka, India

Full time
Regular

… cost and latency management — across everything the team ships. Set technical direction with your senior engineers; make the hard architecture calls and unblock the team (design-level involvement; not expected to …

Added Oct 27, 2026

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Voya Financial

Senior AI Engineer – Applied AI & Data Science

New York City, New York, United States

… culture? Start your Voyage – Apply Now Get to Know the Opportunity We are seeking a highly motivated Senior AI Engineer to design, build, and deploy enterprise-scale AI applications on the Snowflake AI Data Cloud. …

Added Nov 3, 2026

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Walmart

(USA) Senior, Data Scientist

Sunnyvale, California, United States

Pay posted by employer$117,000–$234,000 per year

… do... About the Team Retail AI Foundations is part of the Retail Intelligence group within Walmart’s AI & Data organization. The team develops and deploys Generative AI and machine learning platforms, models, and …

Added Oct 27, 2026

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Capital One Financial

Senior Associate, Data Science

McLean, Virginia, United States +1 location

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit …

Added Oct 27, 2026

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Nvidia

Senior Data Scientist – Finance

Santa Clara, California, United States

… best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA as a Senior Data Scientist on our Finance Data Science and AI team, where you will work alongside Data Scientists, Data …

Added Oct 31, 2026

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GE Aerospace

Staff Data Engineer – Data Fabric Integration, Defense & Systems Data Fabric

Evendale +1 location

Full time
Regular

Pay posted by employer$112,000–$149,000 per year

Summary The Staff Data Engineer builds the hands-on technical backbone of the Defense & Systems Data Fabric: automated metadata …

Added Oct 27, 2026

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Bristol-Myers Squibb

Senior Manager, Data Sciences

Uxbridge - GB

Full time
Regular

Data Science & Analytics Develop and apply novel computational methods for patient segmentation, biomarker …

Added Oct 15, 2026

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CDW

Senior Solution Architect - Data

London - GBR +2 locations

Hybrid
Regular

The Senior Solutions Architect, Data leads the technical response on data platform opportunities within CDW UK's Data …

Added Nov 3, 2026

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Citigroup

Senior PySpark Python Data Engineer - Assistant Vice President

Pune Maharashtra India

Job Profile Name: Senior PySpark Python Data Engineer - Assistant Vice President- C12 Job Description: The Technical Data Analyst is …

Added Nov 3, 2026

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Capital One Financial

Principal Associate - Data Engineer

Bengaluru, Karnataka, India

… programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, …

Added Oct 27, 2026

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Freddie Mac

IAM Data Analytics, Senior

McLean, Virginia, United States +1 location

Full time
Regular

Pay posted by employer$126,000–$190,000

… alignment of IAM processes with InfoSec maturity targets as described in the InfoSec Strategy. Your Impact: Senior Data Analyst who can develop and implement new and updated business process automation for all Identity and …

Added Oct 15, 2026

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Cardinal Health

Senior Analyst, Data Engineering

IND07

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Qualifications · employer excerpt

3-5 years of experience in Data Engineering, Platform Engineering, Site Reliability Engineering (SRE), DevOps, or related technical roles.
Bachelor’s degree in computer science, Engineering, Information Systems, or a related discipline (or equivalent work experience).
Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms.
Experience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools.
Working knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS.

5 more in the full description below.

About this opportunity

Original employer description

Senior Analyst, Data Engineering - Platform Engineering

What Data Engineering Contributes to Cardinal Health

The Data & Analytics Function oversees the analytics lifecycle to identify, analyze, and present actionable insights that drive business decisions and create competitive advantage. This function manages enterprise data platforms, data access, governance, reporting, business intelligence solutions, and advanced analytics capabilities.

Data Engineering is responsible for building, maintaining, and optimizing scalable data platforms that enable efficient data ingestion, transformation, orchestration, and consumption across the enterprise. As part of the Platform Engineering team, this role focuses on delivering reliable, secure, automated, and scalable data infrastructure supporting business-critical analytics and data products.

The ideal candidate will contribute to platform operations, cloud-based data engineering solutions, CI/CD automation, and production support while partnering with cross-functional teams to ensure a stable and high-performing data ecosystem.

Qualifications

3-5 years of experience in Data Engineering, Platform Engineering, Site Reliability Engineering (SRE), DevOps, or related technical roles.
Bachelor’s degree in computer science, Engineering, Information Systems, or a related discipline (or equivalent work experience).
Hands-on experience with Databricks, Apache Spark, and cloud-based data platforms.
Experience developing, maintaining, and supporting CI/CD pipelines using Harness, Azure DevOps, GitHub Actions, or similar tools.
Working knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or AWS.
Experience with SQL, Python, PySpark, and data engineering best practices.
Familiarity with source control tools such as Git/GitHub.
Basic understanding of Infrastructure as Code (IaC) concepts, preferably Terraform.
Knowledge of platform monitoring, observability, incident management, and operational support processes.
Understanding of data governance, security, access management, and platform reliability principles.

Key Responsibilities

Support the design, implementation, and maintenance of enterprise data platform solutions.
Develop, deploy, and manage data processing workloads using Databricks and Apache Spark.
Build and maintain CI/CD deployment pipelines using Harness and other DevOps tools.
Support platform modernization, cloud migration, automation, and continuous improvement initiatives.
Monitor platform health, performance, and availability and proactively identify opportunities for optimization.
Investigate and resolve platform issues, deployment failures, and data pipeline incidents.
Collaborate with Data Engineers, Architects, Product Teams, and Business Stakeholders to deliver reliable data platform capabilities.
Ensure adherence to security, compliance, governance, and operational standards.
Participate in production support activities, root cause analysis, and incident resolution processes.
Contribute to documentation, operational runbooks, and knowledge-sharing initiatives.
Work closely with global teams to deliver highly available and scalable platform services.

What Is Expected of You and Others at This Level

Applies foundational technical knowledge and engineering best practices to platform and data engineering tasks.
Works on projects of moderate scope under guidance from senior engineers and technical leads.
Troubleshoots and resolves technical issues using established procedures and operational frameworks.
Demonstrates strong analytical and problem-solving capabilities.
Continuously develops expertise in Databricks, cloud technologies, DevOps, and platform engineering practices.
Supports platform reliability, automation, and operational excellence initiatives.
Effectively collaborates within cross-functional and geographically distributed teams.
Takes ownership of assigned deliverables and contributes to team success.

Preferred Technical Skills

Databricks (Workflows, Delta Lake, Unity Catalog)
Apache Spark / PySpark
Harness CI/CD Pipelines
Python
SQL
Azure Data Platform, GCP, or AWS
Git/GitHub
Terraform
Monitoring and Observability Tools
DevOps & Platform Engineering Practices
Incident and Production Support Management

Work Schedule

This position is part of a global Data Engineering Platform Operations team and requires participation in a rotational shift model to provide support coverage across multiple regions and time zones.

Candidates should be comfortable working in the following rotational shifts based on business needs:

Morning Shift: 6:00 AM - 3:00 PM
Afternoon Shift: 1:00 PM - 10:00 PM
Evening Shift: 5:30 PM - 2:30 AM

Additional Expectations

Participate in rotational production support and platform operations activities.
Monitor and support Databricks environments, data pipelines, CI/CD deployments, and platform services.
Respond to platform incidents, service disruptions, deployment failures, and operational requests within defined SLAs.
Collaborate effectively with globally distributed platforms, engineering, and business teams.
Support continuous improvement initiatives focused on automation, reliability, and operational efficiency.

This role offers an excellent opportunity to gain hands-on experience with modern data platforms, cloud technologies, Databricks, DevOps practices, and enterprise-scale data engineering operations.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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Keywords also found in description

Data & Analytics Function

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