DETAILS
ID84679
Developer
Python
Engineering
Python
Python
MySQL
PostgreSQL
Full-time
- Argentina,
- Brazil,
- Colombia,
- Guatemala
- LATAM
4+ years of experience
3–5 years
Middle Senior
Remote
TECH STACK
Python
MySQL
PostgreSQL
HTML
About the role
We are looking for a Senior Python Engineer to build and maintain data pipelines that merge machine learning algorithms with real-world user data to optimize the delivery of SEO link content and improve job seeker traffic through better page rankings. You will integrate backend Python applications with data stored in Snowflake or Databricks, ensure data quality and pipeline reliability across MySQL and PostgreSQL environments, and collaborate with SEO experts and data scientists to align technical work with organic growth goals. The role requires 4+ years of backend Python engineering experience with production-quality code and CI/CD practices.
What you will do
- Build and maintain data pipelines that collect and process real-world user data;
- Integrate machine learning algorithms into data pipelines to automate and improve the delivery of SEO links;
- Use data to optimize content, with the main goal of improving page rankings and increasing job seeker traffic;
- Monitor data pipelines to ensure data is accurate, reliable, and processed without errors;
- Collaborate with SEO experts and data scientists to align technical solutions with website growth goals.
Must haves
- 4+ years of experience as a Software Engineer;
- Strong hands-on experience building and maintaining backend applications in Python;
- Experience with unit testing frameworks, CI/CD pipelines, version control, and writing maintainable, production-quality code;
- Experience with MySQL and PostgreSQL;
- Basic understanding of HTML and React (not the primary focus);
- Experience integrating applications with data stored in Snowflake or Databricks to support backend applications and services.
Nice to haves
- Experience with workflow orchestration tools such as Airflow;
- Experience with MongoDB and MongoDB Atlas;
- AWS experience.
Perks
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
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Welcome to AgileEngine!
Have any questions?
What is the work format and schedule?
We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.
What level of English is required?
We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.
Does AgileEngine provide work equipment?
It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.
What opportunities for professional growth do you offer?
We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:
- An annual learning and development budget
- Internal workshops, tech talks, and mentorship programs
- Opportunities to switch projects or grow into new roles over time
What does a typical team look like, and what tools do you use?
Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.
For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.
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