Remote Senior Python Engineer Jobs
Remote Senior Python Engineer jobs are open at remote-first firms and distributed teams across software, fintech, healthcare technology, and data infrastructure sectors. Companies actively hiring include Tech-assist, Applied Intuition, and Fidelity Investments. See the openings below and apply to the ones that match your experience.
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Fidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
As a Senior Data Engineer, you will develop and maintain reporting and data solutions that support Fidelity's Defined Contribution Record Keeping business. This role is focused on building and enhancing reporting capabilities, developing custom reporting solutions, and supporting a multi-year effort to modernize legacy SAS applications using Python.
Approximately 80% of your time will be spent on development activities, with the remaining 20% focused on supporting and enhancing existing reporting solutions.
In this role, you will:
- Design, develop, test, and maintain reporting and data solutions using SAS, SQL, and Python.
- Develop custom reports and data solutions to support business, operational, audit, compliance, fraud detection, and strategic reporting needs.
- Partner with business stakeholders to gather requirements and deliver scalable reporting capabilities.
- Support and enhance self-service reporting tools used across the organization.
- Ensure data accuracy, integrity, and reliability across reporting platforms.
- Troubleshoot reporting and data issues and implement sustainable solutions.
- Contribute to a multi-year initiative to modernize and migrate legacy SAS-based reporting solutions to Python.
- Document technical processes, reporting logic, and data flows while participating in testing and code reviews.
The Skills and Experience You Bring
- 4-6 years of experience developing reporting, analytics, data engineering, or business intelligence solutions.
- 4+ years of hands-on SAS programming experience, including report development, data analysis, and troubleshooting.
- Strong SQL skills with experience querying, analyzing, and validating large datasets.
- Exposure to Python development and a desire to build expertise in Python-based reporting and automation solutions.
- Experience translating business requirements into technical reporting solutions.
- Strong understanding of data quality, validation, and reporting best practices.
- Experience working with large, complex datasets in an enterprise environment.
- Strong analytical, problem-solving, and communication skills.
- Experience with Excel and/or VBA is a plus.
- Experience supporting reporting modernization or legacy technology migration efforts is a plus.
The Team
The Defined Contributions Record Keeping Support team supports the applications and data processes that power Fidelity's recordkeeping platform, including the processing of retirement plan contributions and other critical participant transactions. The team is responsible for maintaining system stability, ensuring data integrity, and supporting the reporting solutions relied upon by business partners across the organization.
In addition to supporting operational processes, the team develops and maintains a wide range of reporting solutions supporting audits, fraud detection, compliance activities, business campaigns, and other critical business functions. The team also plays a key role in proactively identifying risks, resolving system and data issues, and improving the overall reliability of the platform.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Fidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
As a Senior Data Engineer, you will develop and maintain reporting and data solutions that support Fidelity's Defined Contribution Record Keeping business. This role is focused on building and enhancing reporting capabilities, developing custom reporting solutions, and supporting a multi-year effort to modernize legacy SAS applications using Python.
Approximately 80% of your time will be spent on development activities, with the remaining 20% focused on supporting and enhancing existing reporting solutions.
In this role, you will:
- Design, develop, test, and maintain reporting and data solutions using SAS, SQL, and Python.
- Develop custom reports and data solutions to support business, operational, audit, compliance, fraud detection, and strategic reporting needs.
- Partner with business stakeholders to gather requirements and deliver scalable reporting capabilities.
- Support and enhance self-service reporting tools used across the organization.
- Ensure data accuracy, integrity, and reliability across reporting platforms.
- Troubleshoot reporting and data issues and implement sustainable solutions.
- Contribute to a multi-year initiative to modernize and migrate legacy SAS-based reporting solutions to Python.
- Document technical processes, reporting logic, and data flows while participating in testing and code reviews.
The Skills and Experience You Bring
- 4-6 years of experience developing reporting, analytics, data engineering, or business intelligence solutions.
- 4+ years of hands-on SAS programming experience, including report development, data analysis, and troubleshooting.
- Strong SQL skills with experience querying, analyzing, and validating large datasets.
- Exposure to Python development and a desire to build expertise in Python-based reporting and automation solutions.
- Experience translating business requirements into technical reporting solutions.
- Strong understanding of data quality, validation, and reporting best practices.
- Experience working with large, complex datasets in an enterprise environment.
- Strong analytical, problem-solving, and communication skills.
- Experience with Excel and/or VBA is a plus.
- Experience supporting reporting modernization or legacy technology migration efforts is a plus.
The Team
The Defined Contributions Record Keeping Support team supports the applications and data processes that power Fidelity's recordkeeping platform, including the processing of retirement plan contributions and other critical participant transactions. The team is responsible for maintaining system stability, ensuring data integrity, and supporting the reporting solutions relied upon by business partners across the organization.
In addition to supporting operational processes, the team develops and maintains a wide range of reporting solutions supporting audits, fraud detection, compliance activities, business campaigns, and other critical business functions. The team also plays a key role in proactively identifying risks, resolving system and data issues, and improving the overall reliability of the platform.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Staffing & Recruiting
What Employers Look For
The qualifications that appear most often in remote 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 Remote Senior Python Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote senior python engineer openings from across the U.S. in one place. Check it regularly and apply directly to roles that match your stack and experience level before postings fill.
Document your async communication style
Remote engineering teams screen for written clarity as much as code quality. Add a section to your resume or portfolio that shows how you document architecture decisions, write technical specs, or run async code reviews using tools like GitHub pull request comments or Confluence.
Show distributed system and cloud experience
Remote senior python engineer roles at distributed companies almost always involve cloud-native stacks. Highlight hands-on work with AWS Lambda, GCP, or Azure alongside Python frameworks like FastAPI or Django to match what remote hiring managers are actually screening for.
Prepare for async-first technical interviews
Many remote-first companies use take-home coding assessments or async design reviews instead of live whiteboard sessions. Practice writing clean, well-commented Python solutions you can submit and defend in a follow-up call rather than coding live under pressure.
Remote Senior Python Engineer Jobs: Frequently Asked Questions
How do I get a remote senior python engineer job?
Target remote-first companies and distributed engineering teams that have structured async workflows, since those employers hire senior python engineers remotely most consistently. Remote hiring managers screen for self-direction, clear written communication, and ownership of work without daily oversight. A strong GitHub portfolio, documented side projects, and experience with async collaboration tools like Slack or Notion gives candidates a clear edge over those with equivalent coding skills alone.
Which companies hire remote senior python engineers?
Companies hiring remote senior python engineers right now include Tech-assist, Applied Intuition, and Fidelity Investments, based on current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed fintech teams, and healthcare technology firms account for a large share of these openings.
Can you get a remote senior python engineer job with no experience?
Yes, but remote entry roles are harder to land because employers expect you to work independently from day one without in-person mentorship. Remote-first startups and open-source-driven companies are the most likely to hire junior candidates remotely. A portfolio of deployed Python projects, contributions to public repositories, and demonstrated async communication skills can substitute meaningfully for formal job experience when applying to those roles.
Do you need a degree for remote senior python engineer jobs?
Not always. Remote employers for senior Python roles weigh demonstrated skill, shipped projects, and real engineering output heavily alongside or instead of a degree. A portfolio showing production Python code, system design decisions, and results at scale carries more weight in most remote hiring processes than a diploma, particularly at remote-first companies and early-stage distributed teams.
Which industries hire the most remote senior python engineers?
The sectors hiring the most remote senior python engineers are Technology & Software and Staffing & Recruiting, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams and hire senior Python talent remotely to build data pipelines, APIs, and backend infrastructure without geographic constraints.
See All 21 Remote Senior Python Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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