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Principal Dataops Engineer Jobs (NOW HIRING)

CrowdStrike

Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability ... Prior experience in a Principal or Staff level engineering role, demonstrating technical leadership ...

Hut 8

Principal, Data Operations

Miami, FL · On-site

ABOUT THE ROLE The Principal Data Operations builds and operates the systems that move Hut 8's ... ABOUT YOU * 3+ years of experience in data engineering, software engineering, DataOps, or a related ...

Greystar Real Estate Partners

Data Platform Engineer

$117K - $140K/yr

You will work within the DataOps pod under the Analytics Engineering umbrella, owning Databricks ... Azure Active Directory, service principals, RBAC, and Unity Catalog governance policies Hands-on ...

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Principal Dataops Engineer information

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$74K

$147.2K

$212.5K

How much do principal dataops engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for principal dataops engineer in the United States is $147,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Principal Dataops Engineer vs Data Engineer?

AspectPrincipal Dataops EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often advanced certificationsBachelor's/Master's in CS, Data Science, or related
Work EnvironmentLeadership in data operations, strategic planning, cross-team collaborationBuilding and maintaining data pipelines, data modeling, ETL processes
Industry UsageUsed in organizations with mature data teams, focusing on data infrastructureCommon in data-driven companies, focusing on data pipeline development

The Principal Dataops Engineer typically oversees data operations strategy, ensuring scalable and reliable data infrastructure, while Data Engineers focus on designing and implementing data pipelines and models. Both roles require strong technical skills, but the Principal Dataops Engineer has a broader leadership and strategic focus.

What does a Principal Dataops Engineer do?

A Principal Dataops Engineer leads the design, implementation, and management of data pipelines and infrastructure to ensure reliable and efficient data flow across an organization. They often work with tools like Apache Spark, Kafka, and cloud platforms, and require strong skills in data engineering, automation, and system architecture. Their role includes optimizing data processes, ensuring data quality, and collaborating with data scientists and engineers to support analytics and decision-making.

What are popular job titles related to Principal Dataops Engineer jobs?

For Principal Dataops Engineer jobs, the most frequently searched job titles are:

Infographic showing various Principal Dataops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,220 per year, or $70.8 per hour.

Data Engineer, Principal

Oakland, CA • On-site

Blue Shield of California
Insurance Services • 5 - 10K employees
Learn more about Blue Shield of Californiaexternal

$148K - $223K/yr

Full-time

Medical, Vision

This job post has expired today. Applications are no longer accepted.

Blue Shield Of California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

Job description


Your Role
The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Principal will report to the Sr Manager, Data Solutions / Director. In this role you will be partnering with Enterprise Architects, Portfolio, Analytics and Data engineering teams for designing technical solutions and building data products to meet enterprise data needs. You will be responsible for driving the data product by designing and implementing cloud data lakes, data warehouse and data mart solutions.
Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.
Responsibilities
Your Work
In this role, you will:
  • Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts.
  • Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources.
  • Apply advanced data modeling techniques (including Data Vault 2.0, dimensional, and domain-oriented models) to support analytics and data products.
  • Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely.
  • Build and optimize data solutions on cloud platforms (e.g., Snowflake, Databricks, Synapse) with a focus on performance, scalability, reliability, and cost efficiency.
  • Implement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines.
  • Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting.
  • Provide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices.
  • Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes.
  • Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows.
  • Support integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases.
  • Act as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy.

Qualifications
Your Knowledge and Experience
  • Requires a bachelor's degree or equivalent experience.
  • Requires a minimum of 10 years of relevant data engineering experience.
  • Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems.
  • Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design.
  • Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent.
  • Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
  • Demonstrated enthusiasm for AI and emerging technologies, with solid understanding of AI/ML concepts and hands-on experience applying AI-driven solutions in enterprise environments.
  • Hands on experience with SQL, Python, DBT Cloud and DBT core. Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks)
  • Proven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures.
  • Advanced knowledge of CI/CD, source control, and agile delivery tooling (e.g., Git, Bitbucket, Jira).
  • Experience in healthcare, regulated environments, or large enterprises is strongly preferred.

#LI-FB1
About the Team
About Stellarus and the Ascendiun Family of Companies
Stellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.
Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company.
Stellarus' vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus' objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California's vision by using innovation to improve quality, affordability, and experience for members.
To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.
Our Values:
At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings.
Our Workplace Model:
We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:
  • For most teams, this means coming into the office two days per week.
  • Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
  • For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.

The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.
Physical Requirements:
Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.
Please click here for further physical requirement detail.
Equal Employment Opportunity:
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.

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