Senior Python Engineer Jobs
Senior Python Engineer jobs are open across fintech, healthtech, enterprise software, and cloud infrastructure, from mid-level to staff and principal, with specializations in data engineering, backend systems, and machine learning pipelines. Find a role that fits from the openings below and apply directly.
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Showing 5 of 32+ Senior Python Engineer jobs
Description: Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. Enhance fleet health data for evolving ML machine deployments through innovations like PRISM, SHAG, and Dark Sky. Your role involves refining big data pipelines, creating new ones, and ensuring code reliability to optimize spare part logistics and minimize shortages. Make a direct impact on the efficiency and reliability of our cutting-edge data center operations.
Responsibilities:
- Participate in design and development of Big Data analytical applications
- Design, support and continuously enhance the project code base, continuous integration pipeline, etc.
- Write complex ETL processes and frameworks for analytics and data management
- Work inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale
Min requirements:
- Expert in Python, proficient in other languages such as Scala/Java is a plus
- Bachelor’s degree required, preferably in Computer Science or a related field
- Expert in Spark/Spark Streaming/Flink and experience with Hadoop or other big data processing technologies
- Expert in Kubernetes and AWS as a main cloud
- Strong object-oriented design skills, coupled with a proven understanding of data structures and algorithms
- Excellent communication and collaboration skills for requirement gathering and clarification
- Keen ability to lead with a high level of autonomy, versatility, and influence to drive key projects to completion
We offer:
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Description: Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. Enhance fleet health data for evolving ML machine deployments through innovations like PRISM, SHAG, and Dark Sky. Your role involves refining big data pipelines, creating new ones, and ensuring code reliability to optimize spare part logistics and minimize shortages. Make a direct impact on the efficiency and reliability of our cutting-edge data center operations.
Responsibilities:
- Participate in design and development of Big Data analytical applications
- Design, support and continuously enhance the project code base, continuous integration pipeline, etc.
- Write complex ETL processes and frameworks for analytics and data management
- Work inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale
Min requirements:
- Expert in Python, proficient in other languages such as Scala/Java is a plus
- Bachelor’s degree required, preferably in Computer Science or a related field
- Expert in Spark/Spark Streaming/Flink and experience with Hadoop or other big data processing technologies
- Expert in Kubernetes and AWS as a main cloud
- Strong object-oriented design skills, coupled with a proven understanding of data structures and algorithms
- Excellent communication and collaboration skills for requirement gathering and clarification
- Keen ability to lead with a high level of autonomy, versatility, and influence to drive key projects to completion
We offer:
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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Find Senior Python Engineer JobsSenior Python Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Citi6
- Synechron5
- Luxoft2
- AHU Technologies1
- AIAEC1
Top Industries Hiring
- Technology & Software20
- Banking & Financial Services5
- Agriculture & Farming2
- Consulting & Professional Services2
- Investment & Asset Management2
What Employers Look For
The qualifications that appear most often in senior python engineer jobs.
- Five or more years of professional Python development experience
- Deep knowledge of at least one major web or API framework such as FastAPI or Django
- Experience designing and maintaining distributed or microservices-based systems
- Proficiency with SQL and at least one cloud platform such as AWS, GCP, or Azure
- Demonstrated ability to mentor junior engineers and lead code reviews
- Familiarity with containerization and orchestration tools including Docker and Kubernetes
Tips for Your Senior Python Engineer Job Search
Tailor your resume to each stack
Senior Python Engineer roles vary widely by infrastructure, so list the specific frameworks and tools each job mentions, whether that's FastAPI, Django, Celery, or Airflow, rather than a single generic skills block that covers everything.
Show system design decisions you owned
Hiring managers at the senior level want evidence you drove architecture, not just implemented tickets. For each project on your resume, name the design choice you made and the measurable outcome it produced.
Filter openings by domain, not just title
A senior python engineer role at a fintech firm often demands different depth than one at a data platform company. Narrow your search by industry vertical so your cover note can speak directly to the domain's specific constraints.
Apply early to roles that fit
Migrate Mate lists senior python engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a live coding environment in advance
Many senior python engineer technical rounds use a shared editor or ask you to run code locally. Have your preferred IDE configured, linting enabled, and a few recent personal projects open before your first screen.
Negotiate scope before negotiating anything else
At the senior level, the technical charter matters as much as the offer. Before your final conversation, ask specifically what the first major project is, who owns the roadmap, and whether the role includes cross-team design review responsibilities.
Senior Python Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior python engineers?
The companies hiring the most senior python engineers right now include Citi, Synechron, and Luxoft, with the largest share of openings in New York, North Carolina, and Pennsylvania, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in fintech, cloud infrastructure, and enterprise data platform companies.
How many senior python engineer jobs are remote?
About 28% of senior python engineer openings are fully remote or hybrid as of June 2026, making it one of the more remote-accessible senior engineering roles. Backend API and data engineering specializations tend to carry the highest share of fully remote listings compared to roles requiring on-site infrastructure work.
How do you become a senior python engineer?
You become a senior python engineer by building deep, demonstrable expertise in Python's ecosystem and taking ownership of system-level decisions. Start by shipping production services end-to-end, then move into roles where you design architecture rather than implement specs. Consistently mentoring other engineers and leading technical reviews accelerates the transition more reliably than accumulating years alone.
Can you get hired as a senior python engineer with little experience?
Getting hired as a senior python engineer with limited professional experience is difficult through conventional applications, but candidates have succeeded by demonstrating senior-level judgment through open-source contributions, public architecture write-ups, or a well-documented side project that solved a real scalability problem. Targeting smaller companies or early-stage startups that weight portfolio evidence over years on a resume also improves the odds.
What does the senior python engineer interview process look like?
The senior python engineer interview process typically moves through a recruiter screen, a technical phone screen focused on Python internals and system design concepts, a live coding round using a shared editor, and a final system design interview where you architect a service under real constraints. Many companies add a hiring manager conversation to assess how you approach cross-team collaboration and technical leadership.
Where can I find and apply to senior python engineer jobs?
You can find and apply to senior python engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 32+ Senior Python Engineer Jobs
Jump back to the full list of openings and apply to any senior python engineer role that fits.
Find Senior Python Engineer Jobs