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Remote Python Engineer Jobs in Aurora, CO (NOW HIRING)

DevOps Engineer

Englewood, CO · Remote

$55 - $65/hr

Hybrid 4 days onsite, 1 remote. in Englewood, CO Our client seeks a DevOps Engineer to design ... Experience with Python, Go, or TypeScript (preferred). * Familiarity with REST APIs and ...

Senior Control Systems Engineer

Denver, CO · On-site +1

$171K - $178K/yr

Design, develop, and test electronic control systems for remote and autonomous maritime operations ... Experience with MS Office, BC Dynamics, AutoCAD, Zuken, Python, PDM, PLM, MRP, Sharepoint, and ...

Full Stack Software Developer

Denver, CO · On-site +1

$86K - $136K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to ... Strong Python (Flask/SQLAlchemy) and TypeScript (React) experience. * Experience with PostgreSQL ...

GCP Cloud Engineer

Denver, CO · Remote

$57 - $76.25/hr

Remote (Denver, CO) Position Type: Contract Interview Type: Inperson / WebCam Ceipal ID: SCO_GCP740 ... Scripting skills in Python, Bash, and PowerShell * Google Foundational certification Preferred ...

Some scripting experience, ideally with Java or JavaScript/Python * Ability to design deployment ... Department Sales Locations Denver, New York Remote status Fully Remote

Salary range subject to location, as this role can be remote** Roles and Responsibilities: * Design ... Strong practical development experience using Python and/or TypeScript, including front-end, ...

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build ... Strong Python and engineering fundamentals, with the full-stack range to stand up a quick UI, and ...

Data Engineer (Remote)

Denver, CO · Remote

$117K - $141K/yr

Provide technical guidance and mentorship within the data engineering team and foster a ... Strong Python and SQL experience, including advanced query design and database optimization.

Senior ML Engineer

Denver, CO · On-site +1

$107K - $147K/yr

Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)

Healthcare EDI Engineer III

Denver, CO · Remote

$106K - $143K/yr

Remote (Denver, CO) Job Type: Contract Integrations Software Engineer III Job Summary: * This ... C#, Java, Python). * Experience processing data including validation techniques, processing ...

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Remote Python Engineer information

See Aurora, CO salary details

$23.4K

$142.2K

$205.7K

How much do remote python engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote python engineer in Aurora, CO is $142,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $167,100.00 per year, depending on experience, location, and employer.

What does a Remote Python Engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

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

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What are some common challenges faced by Remote Python Engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are popular job titles related to Remote Python Engineer jobs in Aurora, CO? For Remote Python Engineer jobs in Aurora, CO, the most frequently searched job titles are:
What job categories do people searching Remote Python Engineer jobs in Aurora, CO look for? The top searched job categories for Remote Python Engineer jobs in Aurora, CO are:
What cities near Aurora, CO are hiring for Remote Python Engineer jobs? Cities near Aurora, CO with the most Remote Python Engineer job openings:
Infographic showing various Remote Python Engineer job openings in Aurora, CO as of June 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $142,198 per year, or $68.4 per hour.
Customer Success Engineer, Database (2nd Shift)

Customer Success Engineer, Database (2nd Shift)

DigitalOcean

Denver, CO • Remote

$75K - $94K/yr

Other

Posted 24 days ago


Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. 

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You\'ll Do
  • Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
  • Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
  • Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
  • Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
  •  on complex escalations, contributing to root cause analysis and resolution
  • Analyze customer architectures to identify improvement opportunities and recommend best practices
  • Participate in incident response and on-call rotations to support critical customer issues
  • Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
  • Advocate for customer feedback to influence product improvements and platform enhancements
  • Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
  • Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.
Key Metrics
  • Customer Satisfaction (CSAT)
  • Time to Resolution / SLA adherence
  • Escalation quality and resolution effectiveness
  • Documentation and knowledge base contributions
  • Customer adoption of best practices
What You\'ll Add to DigitalOcean Required Experience & skills
  • 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
  • Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
  • Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
  • Understanding of database fundamentals including backups, replication, indexing, and performance tuning
  • Strong troubleshooting skills across application, database, and infrastructure layers
  • Customer-first mindset with a passion for solving technical problems and delivering great support experiences
  • Effective communication skills with the ability to explain technical concepts clearly
  • Ability to work both independently and collaboratively in a fast-paced environment
Preferred Qualification:
  • Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
  • Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
  • Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
  • Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
  • Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
  • At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
  • Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.
Compensation Range: 
  • $75,200 - $94,000 / Shift hours - 2pm - 10pm MST

*This is a remote role

JR: 2026-7646

#LI-Remote

Why You’ll Like Working for DigitalOcean
  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning\'s 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.