Senior Level Senior Staff Data Engineer Jobs
Senior level senior staff data engineer jobs put experienced engineers in charge of data platform architecture, cross-functional delivery, and the technical standards that shape how teams build and scale. Roles are concentrated across Technology & Software, Investment & Asset Management, and Medical Devices, with 63% remote or hybrid options available, and employers like Radar, Airbnb, and CRUSOE hiring at this level now.
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Showing 5 of 9+ Senior Level Senior Staff Data Engineer jobs
INTRODUCTION
Looking for a place that values your unique talents? Discover Stryker's award-winning culture.
We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific.
We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you 12 paid holidays annually. For an overview of our benefits and time off, please follow this link to learn more: US Stryker employee benefits.
Join a team focused on building scalable, enterprise-grade data platforms that support complex healthcare, clinical, device, and commercial data domains. In this role, you will shape modern data architecture strategies, develop reusable data products, and help establish secure, governed, and high-performing data ecosystems using cloud-based technologies.
ROLE AND RESPONSIBILITIES
- Define and evolve enterprise data architecture patterns across Azure and Databricks environments.
- Establish scalable data ingestion, transformation, and modeling frameworks supporting multi-domain data.
- Drive platform decisions related to performance optimization, scalability, and cost efficiency.
- Lead the design and implementation of reusable data assets and data products that enable self-service analytics.
- Own end-to-end delivery of complex data engineering initiatives from requirements through deployment.
- Design and implement data pipelines supporting healthcare data sources including EHR, registries, imaging, robotics, telemetry, and patient-reported outcomes.
- Define and implement data governance, lineage, cataloging, and access-control frameworks while supporting privacy and compliance requirements.
- Provide technical leadership, mentor data engineering teams, and contribute to engineering standards and continuous improvement initiatives.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a related field.
- Minimum 6 years of related data engineering and architecture experience.
PREFERRED QUALIFICATIONS
- Experience with Databricks, including Delta Lake and Unity Catalog, and Azure data services such as Azure Data Factory, Synapse, and ADLS Gen2.
- Experience designing scalable data architectures using medallion or lakehouse patterns.
- Experience with distributed data processing technologies, including Spark, SQL, and Python.
- Experience architecting and optimizing large-scale ETL/ELT pipelines, orchestration frameworks, and performance tuning solutions.
- Experience implementing data governance, metadata management, lineage, and data quality frameworks.
- Knowledge of healthcare data, clinical datasets, privacy regulations, and compliance requirements.
COMPENSATION
- USN: $118,000 - $196,700 USD Annual
- US5: $123,900 - $206,500 USD Annual
- US10: $129,800 - $216,400 USD Annual
- US15: $135,700 - $226,200 USD Annual
- US20: $141,600 - $236,000 USD Annual
- US30: $153,400 - $255,700 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.
Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance.
Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.
INTRODUCTION
Looking for a place that values your unique talents? Discover Stryker's award-winning culture.
We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific.
We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you 12 paid holidays annually. For an overview of our benefits and time off, please follow this link to learn more: US Stryker employee benefits.
Join a team focused on building scalable, enterprise-grade data platforms that support complex healthcare, clinical, device, and commercial data domains. In this role, you will shape modern data architecture strategies, develop reusable data products, and help establish secure, governed, and high-performing data ecosystems using cloud-based technologies.
ROLE AND RESPONSIBILITIES
- Define and evolve enterprise data architecture patterns across Azure and Databricks environments.
- Establish scalable data ingestion, transformation, and modeling frameworks supporting multi-domain data.
- Drive platform decisions related to performance optimization, scalability, and cost efficiency.
- Lead the design and implementation of reusable data assets and data products that enable self-service analytics.
- Own end-to-end delivery of complex data engineering initiatives from requirements through deployment.
- Design and implement data pipelines supporting healthcare data sources including EHR, registries, imaging, robotics, telemetry, and patient-reported outcomes.
- Define and implement data governance, lineage, cataloging, and access-control frameworks while supporting privacy and compliance requirements.
- Provide technical leadership, mentor data engineering teams, and contribute to engineering standards and continuous improvement initiatives.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a related field.
- Minimum 6 years of related data engineering and architecture experience.
PREFERRED QUALIFICATIONS
- Experience with Databricks, including Delta Lake and Unity Catalog, and Azure data services such as Azure Data Factory, Synapse, and ADLS Gen2.
- Experience designing scalable data architectures using medallion or lakehouse patterns.
- Experience with distributed data processing technologies, including Spark, SQL, and Python.
- Experience architecting and optimizing large-scale ETL/ELT pipelines, orchestration frameworks, and performance tuning solutions.
- Experience implementing data governance, metadata management, lineage, and data quality frameworks.
- Knowledge of healthcare data, clinical datasets, privacy regulations, and compliance requirements.
COMPENSATION
- USN: $118,000 - $196,700 USD Annual
- US5: $123,900 - $206,500 USD Annual
- US10: $129,800 - $216,400 USD Annual
- US15: $135,700 - $226,200 USD Annual
- US20: $141,600 - $236,000 USD Annual
- US30: $153,400 - $255,700 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.
Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance.
Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.
See All 9 Senior Level Senior Staff Data Engineer Jobs
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Find JobsSenior Level Senior Staff Data Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Medical Devices
- Hospitality & Tourism
- Healthcare & Medical Services
Senior Level Senior Staff Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level senior staff data engineer job?
Employers at this level expect candidates who have owned end-to-end data platform decisions, not just executed them. Demonstrating that you have defined architecture standards, driven adoption across engineering teams, and mentored junior engineers gives you a clear edge. Strong candidates show impact at the systems level, not just the pipeline level, and can speak to tradeoffs they navigated under real organizational constraints.
Which companies hire senior level senior staff data engineers?
Companies hiring senior level senior staff data engineers right now include Radar, Airbnb, and CRUSOE, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from organizations running complex, high-volume data environments where platform reliability and engineering leadership are both critical.
Are there remote senior level senior staff data engineer jobs?
Yes, remote and hybrid options are common at this level. About 63% of senior level senior staff data engineer openings are remote or hybrid as of September 2026, reflecting strong demand for senior engineers who can operate effectively across distributed teams. On-site roles do exist, particularly at companies building new data infrastructure or scaling core platform teams.
What makes a senior staff data engineer role senior level?
A senior level senior staff data engineer role is defined by ownership and scope rather than task execution. Engineers at this stage are expected to set technical direction for data platforms, establish engineering standards adopted by multiple teams, and actively develop the engineers around them. The work shifts from delivering individual components to ensuring the entire data foundation is reliable, scalable, and aligned with business goals.
Which industries hire the most senior level senior staff data engineers?
Senior level senior staff data engineer roles concentrate in Technology & Software, Investment & Asset Management, and Medical Devices, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they operate at the scale and data complexity that requires experienced engineers who can own foundational platform decisions rather than work within already-defined systems.