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Python Engineer Jobs in Redmond, WA (NOW HIRING)

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ... Proficient in JAVA & Python programming * Understanding of topic modelling, supervised ...

"Data Engineer"

Seattle, WA · On-site

$130.80K - $157.10K/yr

Seattle, WA Duration : 6+ months USC AND GC ONLY Looking for senior consultants with at least 9+yrs of experience JD Python Developer with Snowflake Exp. & Scala with Spark Best Regards Syed Imran Sr ...

Must also have one year of experience in the follow skill: (1) working in automation via Bash or shell scripting and with Perl or Python programming. Amazon.com is an Equal Opportunity-Affirmative ...

Computer Vision Engineer

Bellevue, WA · On-site

$125.10K - $147.60K/yr

Strong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments. * Demonstrated ability to lead large-scale engineering projects ...

Computer Vision Engineer

Bellevue, WA

$125.80K - $148.40K/yr

Strong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments. Demonstrated ability to lead large-scale engineering projects ...

OR 2+ years of professional experience in security software development in lieu of a degree • Experience with the Python programming language, GO, C#, or Rust • Experience designing and ...

OR 2+ years of professional experience in security software development in lieu of a degree • Experience with the Python programming language, GO, C#, or Rust • Experience designing and ...

Security Software Engineer

Redmond, WA · On-site +1

$145K - $175K/yr

Experience with the Python programming language, GO, C#, or Rust * Experience designing and implementing security solutions for operating systems, distributed systems, or other enterprise/large-scale ...

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Python Engineer information

See Redmond, WA salary details

$25.8K

$156.8K

$226.8K

How much do python engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for python engineer in Redmond, WA is $156,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,800.00 and $184,200.00 per year, depending on experience, location, and employer.

What Does a Python Engineer Do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

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

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python Engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks, data analysis, or machine learning can earn higher salaries, especially in competitive markets.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

What are the most commonly searched types of Python Engineer jobs in Redmond, WA? The most popular types of Python Engineer jobs in Redmond, WA are:
What are popular job titles related to Python Engineer jobs in Redmond, WA? For Python Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Python Engineer jobs in Redmond, WA look for? The top searched job categories for Python Engineer jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Python Engineer jobs? Cities near Redmond, WA with the most Python Engineer job openings:
Infographic showing various Python Engineer job openings in Redmond, WA as of May 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $156,761 per year, or $75.4 per hour.

Forward Deployed Engineer - AI Solutions Engineering

Aircall

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.
About the Team
Aircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production - delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don't need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates.
About the Role
As a Forward-Deployed Engineer, you'll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You'll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You'll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you'll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall's platform and accelerate adoption.
Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership
What you'll do:
  • Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.
  • Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.
  • Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.
  • Configure and optimize the AI Agent - defining intents, prompts, actions, guardrails, and performance metrics.
  • Manage complex, cross-functional deployments - defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.
  • Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.
  • Champion continuous learning and enablement - train peers, run internal workshops, and document best practices to raise the technical bar across the team.
  • Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.
  • Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.
  • Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.
  • Act as an internal product owner within the GTM function-defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.
  • Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.
  • Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.
  • Maintain deep awareness of AI and CX industry trends, ensuring Aircall's positioning remains competitive and insights continuously feed back into product and GTM strategies.

What you'll bring:
  • 2-8 years or more in technical consulting, solutions engineering, or integration-focused project management.
  • Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) - able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.
  • Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
  • Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
  • Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.
  • Excellent communication and stakeholder management skills, translating between technical and business audiences.
  • A growth mindset - constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.

  • Nice-to-haves:
  • Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).
  • Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).
  • Exposure to scripting (JavaScript/Python) for light customization and debugging.

What Success Looks Like:
  • Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.
  • Shortened time-to-first-value and increased automation adoption across SMB customers.
  • Reusable frameworks, models, and templates actively used by peers and partners.
  • Strong collaboration with Engineering and Product to enhance platform capabilities.
  • Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.
  • Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions

$84,000 - $96,000 a year
This base range is not including a quarterly bonus, equity, and other benefits. The maximum OTE for this role is 160K, including a 64K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.
Why This Role is Unique
This is a role for builders, connectors, and enablers. You'll be at the intersection of AI innovation, customer experience, and scalable delivery - combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall's internal capability to deploy AI faster and smarter.
If you're motivated by making cutting-edge technology accessible and impactful - while continuously learning and helping others do the same - this is the perfect next step in your career.
Why join us?
Key moment to join Aircall in terms of growth and opportunities
Our people matter, work-life balance is important at Aircall
Fast-learning environment, entrepreneurial and strong team spirit
45+ Nationalities: cosmopolite & multi-cultural mindset
Competitive salary package & benefits
Medical, dental, and vision insurance is 100% covered
401k plan with company matching!
Unlimited PTO - take the time you need to come to work feeling great!
Wellness, internet, and childcare reimbursements
Generous parental leave policy
DE&I Statement:
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey.
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.