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Sr Python Engineer Jobs in San Diego, CA (NOW HIRING)

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting ... Own and evolve demand forecasting pipelines using Python, SQL, and modern orchestration tools ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting ... Own and evolve demand forecasting pipelines using Python, SQL, and modern orchestration tools ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$119K - $188K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting ... Own and evolve demand forecasting pipelines using Python, SQL, and modern orchestration tools ...

NTENT

Senior Network Engineer

Carlsbad, CA

$106K - $146K/yr

Operations, the Senior Network Engineer is responsible for designing, managing, and supporting all ... Knowledge of Python or other relevant scripting languages * Network Security - Prior experience ...

NTENT

Senior Network Engineer

Carlsbad, CA · On-site

$106K - $146K/yr

Reporting to the Director of Infrastructure & Operations, the Senior Network Engineer is ... Knowledge of Python or other relevant scripting languages * Network Security - Prior experience ...

Qualcomm

Sr. Engineer, AI Platforms

San Diego, CA · On-site

$130K - $171K/yr

Qualcomm is looking for a hands-on Senior Software Engineer for their Enterprise AI Platform and ... NET, Python, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS • Experience ...

Cypress HCM

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

Senior Software Engineer Responsibilities: * Provide technical expertise within the Engineering ... Able to Develop and Maintain Python based desktop GUI applications to control and monitor Automated ...

Hologic Inc.

Senior Applied AI Engineer

San Diego, CA

$110K - $152K/yr

Senior Applied AI Engineer Role Summary We are hiring a Senior Applied AI Engineer to help us find ... Solid programming skills in Python, JavaScript/TypeScript, C#, or a similar language, plus a ...

Hologic

Senior Applied AI Engineer

San Diego, CA · On-site

$110K - $152K/yr

Senior Applied AI Engineer Role Summary We are hiring a Senior Applied AI Engineer to help us find ... Solid programming skills in Python, JavaScript/TypeScript, C#, or a similar language, plus a ...

Hologic, Inc.

Senior Applied AI Engineer

San Diego, CA · On-site

$95.50 - $149.40/hr

Senior Applied AI Engineer Role Summary We are hiring a Senior Applied AI Engineer to help us find ... Pick the right approach for each problem, whether that's custom code (Python, JavaScript/TypeScript ...

MaxLinear, Inc

Senior Systems Engineer

Carlsbad, CA · On-site

$87 - $122/hr

Responsibilities MaxLinear is seeking a Senior Systems Engineer to join our team. In this role, you ... Python expertise is a plus * Experience in lab tests, measurement, and device issue debugging ...

TIAG

Senior React Engineer

San Diego, CA

$129K - $170K/yr

TIAG is now hiring a Senior Software Engineer to join our team full time in San Diego, CA. In this ... Design, build, and maintain efficient, reusable, and reliable Python code using the Django ...

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Showing results 21-40

All JobsSr Python Engineer JobsSr Python Engineer Jobs in San Diego, CA

Sr Python Engineer information

See San Diego, CA salary details

$24.4K

$148.6K

$215K

How much do sr python engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for sr python engineer in San Diego, CA is $148,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,300.00 and $174,700.00 per year, depending on experience, location, and employer.

What does a Sr Python Engineer do?

A Sr Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often lead projects, mentor junior engineers, and work on complex problems that require deep technical expertise. Their responsibilities may include writing efficient code, optimizing performance, integrating with APIs or databases, and ensuring the overall quality of software solutions. Additionally, they may collaborate with cross-functional teams to deliver robust and scalable applications.

What are the key skills and qualifications needed to thrive as a Sr Python Engineer?

To thrive as a Sr Python Engineer, you need advanced proficiency in Python programming, strong knowledge of software design patterns, and experience with scalable application development, often supported by a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure is typically required, with certifications in cloud or Python development considered a plus. Excellent problem-solving abilities, strong communication, and leadership skills help you collaborate effectively and mentor junior engineers. These competencies are critical for delivering robust, efficient solutions and driving technical excellence within development teams.

What are some common challenges Sr Python Engineers face when working on large-scale applications?

Sr Python Engineers often encounter challenges related to maintaining code quality and scalability as applications grow. Managing dependencies, ensuring optimal performance, and coordinating with cross-functional teams can be complex, especially in distributed systems. Additionally, integrating new technologies or frameworks while maintaining backward compatibility requires careful planning and communication. Proactive code reviews, clear documentation, and collaborative problem-solving are essential to overcoming these challenges.

What is the difference between Sr Python Engineer vs Python Developer?

AspectSr Python EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in Python, often some leadership skillsBachelor's degree in CS or related field, strong Python skills, often less emphasis on leadership
Work EnvironmentTeam lead, project architect, involved in system design and optimizationCode writing, feature development, bug fixing
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects

While both roles require strong Python skills, Sr Python Engineers typically have more experience, leadership responsibilities, and involvement in system architecture, whereas Python Developers focus more on coding and feature implementation.

What are popular job titles related to Sr Python Engineer jobs in San Diego, CA?

For Sr Python Engineer jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Sr Python Engineer jobs in San Diego, CA look for?

The top searched job categories for Sr Python Engineer jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Sr Python Engineer jobs?

Cities near San Diego, CA with the most Sr Python Engineer job openings:

Sr Python Engineer jobs near you
Infographic showing various Sr Python Engineer job openings in San Diego, CA as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $148,609 per year, or $71.4 per hour.

Senior Analytics Engineer

Viasat, Inc.

Carlsbad, CA • On-site

$148K - $222K/yr

Full-time

Re-posted 13 days ago

Viasat rating

7.0

Company rating: 7.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

69th of 101 rated telecommunications companies

Job description

About us
One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging Direct-to-Device (D2D) markets. You'll translate executive-level business questions into scalable data pipelines and geospatial models, driving iterative cycles of data interpretation and assumption refinement. You'll turn ambiguous forecasting challenges into production-quality analytical tools-and just as importantly, help senior leadership understand what the data is (and isn't) telling them.
Reporting to the Director, Commercial Business Analytics, you'll operate at the intersection of business strategy and data engineering-close enough to executive stakeholders to shape the why behind the models, and close enough to engineering to ensure your work can be productionized and scaled. Your forecasting outputs feed directly into capacity feasibility analyses run by engineering teams, making the handoff relationship critical.
The day-to-day
  • Partner directly with business unit executives and C-level stakeholders to translate strategic forecasting needs into data models, proactively surfacing insights and challenging assumptions
  • Own and evolve demand forecasting pipelines using Python, SQL, and modern orchestration tools (Dagster, dbt, BigQuery)
  • Develop and extend geospatial demand models using GIS tooling (H3, PostGIS, Kepler.gl, GeoPandas) to translate global market opportunity into demand projections for targeted geographies
  • Drive forecasting model expansion to new business units and services through configurable, testable code-often where no existing baseline exists
  • Independently validate model outputs, refine assumptions, and recommend adjustments to input parameters based on observed patterns and business feedback
  • Interpret and present forecasting outputs in business context to senior leadership-identifying where model results challenge assumptions, surfacing data quality risks, and advising on methodology changes
  • Evaluate and integrate 3rd-party industry data to assess total global vertical demand and model geographic distribution
  • Build data structures with engineering handoff in mind-balancing analytical flexibility with the conventions and standards that enable smooth transition to production systems
  • Document methodologies, assumptions, and maintain clear data lineage across all forecasting workstreams
  • Deliver regional and scenario-based demand projections that directly inform capacity planning decisions
  • Collaborate with engineering teams who consume forecasting outputs, ensuring data formats, assumptions, and methodologies are well-documented and aligned with downstream systems
  • Continuously evaluate existing forecasting processes and recommend improvements to enhance accuracy, scalability, and stakeholder confidence

What you'll need
  • Bachelor's degree in a quantitative field
  • 5-8 years of experience in analytics engineering, data engineering, or quantitative analysis
  • Demonstrated experience managing executive and cross-functional stakeholder relationships-translating complex analytical outputs into actionable business guidance
  • Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling)
  • Strong SQL and cloud data warehouse experience (BigQuery preferred)
  • Python proficiency with data engineering and analytical libraries (pandas, scipy, etc.)
  • Proven ability to structure ambiguous business problems into well-defined analytical frameworks
  • Experience building maintainable, scalable data pipelines with clear documentation and lineage
  • Strong written and verbal communication skills, including experience presenting to senior leadership
  • Comfort owning outcomes in fast-paced, evolving environments with minimal supervision

What will help you on the job
  • Master's degree or equivalent experience in a quantitative field
  • Experience transitioning analytical models into production infrastructure alongside engineering teams
  • Satellite or telecom industry experience
  • Hands-on experience with Dagster, Airflow, or dbt
  • Demand forecasting or capacity planning experience
  • Familiarity with spatial statistics, coverage modeling, or network planning tools

Salary range
$119,000.00 - $188,500.00 / annually.For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $148,500.00- $222,500.00/ annually
At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

What Viasat employees say

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Benefits

Hours and flexibility

Workplace

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About ViaSat

Sourced by ZipRecruiter

At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate.

Industry

Telecommunications

Company size

5,001 - 10,000 Employees

Headquarters location

Carlsbad, CA, US

Year founded

1986

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