Data Engineer (Python, PySpark & Databricks)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source 1h ago.
We have tracked this listing since 29 Sep 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Colombia, Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–102k/yr
Middle 50% of 9 listings that do state pay — Engineering · all levels · Colombia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 1d ago · last seen 1h ago
The listing
We are looking for a Data Engineer to design, build, modernize, and operate scalable data pipelines supporting Tax technology platforms. This role focuses on developing and enhancing data processing workloads using Python, Apache Spark, PySpark, and Databricks, while ensuring reliable, secure, and maintainable data solutions. The ideal candidate has strong hands-on engineering skills, experience with production ETL/ELT pipelines, data ingestion, APIs, data quality, and cloud-based data platforms, along with strong problem-solving and collaboration skills.
Responsibilities
- Design, build, and support scalable data pipelines using Python, Apache Spark, PySpark, and Databricks.
- Modernize and migrate legacy data processing workloads to secure, cloud-native platforms.
- Build and maintain batch data ingestion pipelines from structured and unstructured sources.
- Integrate data from REST APIs, SharePoint, document repositories, enterprise applications, and cloud platforms.
- Implement data quality, monitoring, observability, and operational controls.
- Optimize data workloads for performance, scalability, reliability, and cost efficiency.
- Develop document extraction, classification, metadata enrichment, and automation pipelines.
- Apply software engineering practices including Git, CI/CD, automated testing, and code reviews.
- Build, deploy, troubleshoot, and maintain production ETL/ELT pipelines.
- Collaborate with architects, developers, tax subject matter experts, and platform teams.
- Analyze existing codebases and identify opportunities to improve maintainability, security, and reliability.
- Use AI-assisted development tools to build, review, test, and maintain data pipeline code.
Requirements
Must Have
- 3+ years of experience in data engineering.
- Strong Python development experience.
- Strong Apache Spark and PySpark experience.
- Hands-on experience with Databricks.
- Strong SQL and data modelling skills.
- Experience building, testing, deploying, and troubleshooting production ETL/ELT pipelines.
- Experience with Git-based source control and CI/CD pipelines.
- Experience consuming REST APIs for data ingestion, including authentication, pagination, and failure handling.
- Experience writing automated tests for data pipelines.
- Strong understanding of data quality, reliability, and data engineering best practices.
- Strong problem-solving, communication, and collaboration skills.
Nice to have
- Experience with Azure cloud services and modernising legacy data pipelines.
- Experience with document processing, intelligent document extraction, or unstructured data.
- Familiarity with AI-assisted development tools such as Codex, GitHub Copilot, or similar.
- Experience with streaming data pipelines or large-scale data repositories.
- Strong problem-solving and collaboration skills, with the ability to analyse unfamiliar codebases, identify gaps and trade-offs, and propose practical improvements.
Benefits
A stable, long-term contract. Continuous Training. Private Health insurance. Flexible schedule. Work with some of the most talented software engineers in Latin America and the US, doing challenging work and world-class software for clients in the US and around the world.
At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:
• A stable, long-term contract with opportunities for career growth
• Private health insurance
• A remote-friendly culture that promotes work-life balance
• Continuous training, mentorship, and learning programs to keep you at the forefront of the industry
• Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
• A flexible Paid Time Off (PTO) policy as well as paid holiday days
• Challenging, world-class software projects for clients in the US and LatAm
• Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment
Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.