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Senior Data Analytics Engineer Jobs in Remote, OR

Proven experience managing senior-level client relationships and negotiating contracts or agreements. * Bachelor's degree in business, Data Analytics or a related field. * Master's degree is ...

Utilize data analytics, forecasting models, and AI-enabled tools to improve planning accuracy and ... Partner with Engineering, Field Operations, and Program Management to ensure plans are executable

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The Senior Shopify CRO Strategist with over 10 years of experience leads the optimization of e ... The strategist drives data-driven decisions through advanced analytics, A/B testing, and UX ...

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Senior Project Engineer

OR · Hybrid

$92K - $121K/yr

The Senior Project Engineer serves as the engineering lead on customer-facing system integration ... full technical data packages (drawings, BOMs, manuals) * You can balance design intent with ...

Solutions Integrations Architect

OR

$59 - $77.75/hr

... analyze, and extract key data from heterogeneous systems. This role works closely with a wide variety of customers from senior project managers to developers, business units within L+G and the ...

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Senior Business Analyst

OR · Remote

$94K - $122K/yr

Master's degree in a related field (preferred) * 5+ years of proven experience in an analytics and ... Extensive experience with data visualization * Highly proficient technical writing capabilities

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Senior Business Analyst

OR · Remote

$94K - $122K/yr

Master's degree in a related field (preferred) * 5+ years of proven experience in an analytics and ... Extensive experience with data visualization * Highly proficient technical writing capabilities

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Infrastructure Engineer

OR · Remote

$100K - $200K/yr

... analysis, and resolution (e.g., handling high concurrency and massive data processing). * 3+ years ... programming language (such as Python, Go, or Rust) with strong coding fundamentals. * Solid ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Remote, OR salary details

$80.9K

$126.2K

$174.8K

How much do senior data analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior data analytics engineer in Remote, OR is $126,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $143,900.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Senior Data Analytics Engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are popular job titles related to Senior Data Analytics Engineer jobs in Remote, OR? For Senior Data Analytics Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Remote, OR look for? The top searched job categories for Senior Data Analytics Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Senior Data Analytics Engineer jobs? Cities near Remote, OR with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Remote, OR as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $126,204 per year, or $60.7 per hour.
Senior Front End Engineer - Avaya Infinity Platform

Senior Front End Engineer - Avaya Infinity Platform

Avaya

OR • On-site, Remote

$114K - $158K/yr

Full-time

Re-posted 29 days ago


Job description

About Avaya
Avaya is an enterprise software leader that helps the world's largest organizations and government agencies forge unbreakable connections.
The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.
We believe success is built through strong connections - with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.
Learn more at https://www.avaya.com
Job Description
We're building Avaya Infinity, a cloud-native real-time communication platform powering digital contact centers at scale. The frontend surfaces agent-facing real-time UIs, admin and configuration interfaces, a shared design-system library, and client SDKs - all serving customers who depend on these tools for every live interaction with their own users. Reliability is the #1 feature of this product. When our platform goes down, our customers can't talk to theirs.
As a Senior Front End Engineer, you'll own features end-to-end: from architecture and implementation through testing, deployment, and production reliability. You'll shape technical direction, mentor engineers on the team, and work closely with product and design to ship software that is rock-solid, low-latency, and performant at scale while meeting strict accessibility standards.
This is a hands-on senior IC role with leadership expectations - not a manager track.
What You'll Do
- Design and build performant, accessible SPAs for real-time contact center workflows (agent desktops, supervisor dashboards, configuration tools) where latency and throughput directly impact customer experience
- Contribute to and maintain a shared component library / design system used across product teams
- Write well-tested, production-grade TypeScript - both in React on the frontend and Node.js microservices where needed
- Build for reliability first: design features that degrade gracefully, handle network instability, and perform consistently under load
- Own production readiness: structured logging, metrics, alerting, and incident response for the services you ship
- Profile, measure, and optimize rendering performance, memory usage, and network efficiency in data-intensive real-time UIs
- Participate in architecture decisions and advocate for sustainable, well-documented patterns
- Document feature designs, technical decisions, and production troubleshooting playbooks so the team can operate and evolve systems without single points of knowledge
- Mentor other engineers through code review, pairing, and technical guidance
- Integrate AI-assisted development tools thoughtfully - using them to accelerate delivery while applying engineering judgment to the output
Our Current Stack
React 18/19, TypeScript, Redux Toolkit / RTK Query, Vite, React Router, Mantine, CSS Modules, Vitest, Playwright, Node.js / Express / Prisma, Kafka, Redis, PostgreSQL, Docker, Kubernetes, GitHub Actions, Argo CD, Azure.
What We're Looking For
Must Have
- 7+ years of professional software engineering experience**, with **5+ years focused on frontend development** using React and TypeScript
- Deep understanding of component architecture, performance optimization, and modern rendering patterns
- Reliability-first engineering - you build stable, resilient features and treat every edge case, error state, and failure mode as a first-class concern
- Performance and scale awareness - experience profiling and optimizing for latency, throughput, memory efficiency, and rendering performance in data-intensive UIs
- 2+ years of real-time UI experience - you've built interfaces powered by WebSockets, streaming data, or similar and understand the state management and performance challenges that come with them
- Accessibility expertise - practical experience implementing WCAG 2.2 AA: ARIA patterns, keyboard navigation, live regions, and automated a11y testing
- Strong testing discipline - unit, integration, and end-to-end testing are part of how you work, not an afterthought (e.g., Vitest/Jest, Testing Library, Playwright)
- 2+ years with a production ownership mindset - you've operated what you've built, responded to incidents, and improved reliability based on what you learned
- Technical mentorship - 2+ years of demonstrated ability to raise the bar for a team through code review, architectural guidance, and knowledge sharing
- Excellent written and verbal communication - you can articulate technical decisions clearly to engineers, product managers, and stakeholders alike, and you default to writing things down
Valuable but Not Required
- Experience with design-system tooling (Storybook, shared component libraries, theming systems)
- Rich content integrations: embedded editors, data grids, canvas/diagram rendering
- 1-2 years of backend fluency with Node.js microservices, message brokers (Kafka), caching layers (Redis), or relational databases
- Familiarity with OAuth 2.0 / OIDC authentication flows
- 1+ years of cloud platform experience (Azure preferred), containerization (Docker/Kubernetes), and CI/CD pipeline design (GitHub Actions, GitOps)
- Contract testing, API mocking, or integration testing with tools like PACT, MSW, or Testcontainers
- Internationalization and localization at scale (i18n frameworks, RTL support, multi-locale workflows)
- Feature flagging and experimentation platforms
- Familiarity with SRE principles - error budgets, SLOs/SLIs, fault containment, capacity planning, and post-incident review
What Success Looks Like
- First 90 days: You've shipped meaningful, stable features, navigated the codebase confidently, and built trust with the team through quality contributions and solid code review.
- First 6 months: You're influencing technical decisions, driving improvements to reliability, performance, or developer experience, and actively mentoring at least one other engineer.
- First year: You're a go-to technical leader on the team - peers seek your input on design decisions, and the systems you've built run reliably at scale in production.
The pay range for this opportunity is from $128,500 to $173,000 + bonus potential + benefits. This range represents the anticipated low and high end of the salary for this position. Actual salaries will vary and are based on factors such as a candidate's qualifications, skills, competencies.
#LI-CS1
Experience
3 years experience at the Engineer Two level or 5 - 8 years total experience
Education
Bachelor degree or equivalent experience
Master degree or equivalent experience
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Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location. This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.