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Senior Dataops Engineer Jobs in Everett, WA (NOW HIRING)

AWS Data Engineer (Associate)

Seattle, WA ยท Remote

$117K - $140K/yr

Understanding of DataOps Engineering How we work? We run a forward-deployed model. Engineers embed ... As an associate, you'll work inside that model from day one shipping alongside senior engineers ...

AWS Data Engineer (Associate)

Seattle, WA ยท On-site +1

$130K - $156K/yr

Understanding of DataOps Engineering How we work? We run a forward-deployed model. Engineers embed ... As an associate, you'll work inside that model from day one shipping alongside senior engineers ...

AWS Data Engineer (Associate)

Seattle, WA ยท On-site

$130K - $156K/yr

Understanding of DataOps Engineering How we work? We run a forward-deployed model. Engineers embed ... As an associate, you'll work inside that model from day one shipping alongside senior engineers ...

Senior Dataops Engineer information

See Everett, WA salary details

$65.7K

$139.8K

$202.7K

How much do senior dataops engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior dataops engineer in Everett, WA is $139,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $158,500.00 per year, depending on experience, location, and employer.

What is a senior DataOps engineer?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.

What are some common challenges a senior DataOps engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

What are the key skills and qualifications needed to thrive as a senior DataOps engineer, and why are they important?

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

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

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are popular job titles related to Senior Dataops Engineer jobs in Everett, WA?

For Senior Dataops Engineer jobs in Everett, WA, the most frequently searched job titles are:

What job categories do people searching Senior Dataops Engineer jobs in Everett, WA look for?

The top searched job categories for Senior Dataops Engineer jobs in Everett, WA are:

Scientific Applications Engineer/DataOps Manager (Seattle or Redmond, WA)

Evotec

Seattle, WA โ€ข On-site

$102K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Job Title: Scientific Applications Engineer/DataOps Manager
Location: Seattle, WA OR Redmond, WA
Reports to: Scientific Director
About Us:
At Just-Evotec, we believe that curiosity is the spark that drives innovation and success. As a forward-thinking team, we thrive on challenging the status quo, learning from each other, and pushing the boundaries of what's possible. We're on a mission to create a place where curiosity isn't just encouraged, it's celebrated.
Are you someone who asks questions, seeks answers, and isn't afraid to go deeper? #BeCureious with us and see where your curiosity can take you!
The Role:
As a software engineer, this role involves the development and application of software systems and methods for large scale data capture, management, and analysis across the entire biotherapeutic development process. It requires strong knowledge of software development practices, including the development of web-based interfaces to scientific applications. It also requires working closely with other scientific developers, lab, and data scientists to develop data management and analysis systems to improve biotherapeutic development.
As a DataOps Manager, this role involves the monitoring and troubleshooting of data pipelines and platforms to ensure uptime, performance, and correctness. It includes the management and triage of user feedback and bug reports, forwarding them to the appropriate functional teams. Additionally, this role oversees user adoption, training development, and coordinates internal client communication.
Strong communication and collaboration skills, a desire to learn new scientific concepts and domains, and an ability to work directly with scientific staff across multiple disciplines are also required.
What You'll Do:
  • Work independently or as a team member to develop and/or implement data handling and analysis systems
  • Develop code and data structure definitions for integrating and visualizing data from various scientific and laboratory sources into databases and related data management systems
  • Support and extend existing data management and visualization pipelines, code, and databases
  • Work with scientific staff to collect requirements, understand workflows, and review prototype systems
  • Communicate results to senior management
  • Monitor and troubleshoot data pipelines and platforms to ensure uptime and performance
  • Manage user feedback and bug reports, forwarding them to appropriate functional teams
  • Support user adoption, develop training programs, and communicate changes in data practices

Who You Are:
  • B.S., M.S., or equivalent experience with strong experience in scientific software development
  • Strong experience in Java development, with proficiency with other programming languages such as Python or R
  • Experience with relational databases and typical raw data exchange formats
  • Experience with web UI frameworks such as PrimeFaces, ExtJs, or AngularJS

Preferred Qualifications:
  • Excellent verbal and written communication skills
  • Strong focus on quality and attention to detail
  • Possess effective task/time management organizational skills
  • Ability to work in small groups as well as independently
  • Ability to organize, analyze/interpret, and effectively communicate results
  • Experience with AWS or other cloud solutions
  • Familiarity with code versioning tools
  • Familiarity with the LabKey system
  • Scientific data visualization experience
  • Scientific algorithm development experience
  • Familiarity with handling of NGS and genomic data

The base pay range for this position at commencement of employment is expected to be $102,000 to $120,000; Base salary offered may vary depending on individual's skills, experience and competitive market value. Additional total rewards include discretionary annual bonus, comprehensive benefits to include Medical, Dental and Vision, short-term and long-term disability, company paid basic life insurance, 401k company match, flexible work, generous paid time off and paid holiday, wellness and transportation benefits.
Evotec (US) Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, age, disability, genetic information, gender expression, gender identity, national origin, religion, sexual orientation, or veteran status.