Data/Software Engineer (Sas→Python)

Worldwide | Oct. 9, 2026

Report as Closed

Company: Improving

Country: Worldwide

Salary: $38,400 - $48,000

Type: Remote

Employment: Full-time

Description: Improving is an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes.

At Improving South America, we provide IT services to transform the perception of the IT professional. We focus on IT consulting, software development and agile training.

The company promotes an exceptional work culture based on teamwork, excellence and fun, with a focus on personal growth and shared rewards. By joining, the candidate will become part of a community that prioritizes open communication and strong long-term working relationships, supported by a structure of professional development and continuous learning.

4+ years of professional data or software engineering experience.
Strong Python and SQL.
Hands-on Databricks experience, including Unity Catalog, Workflows, and Databricks Asset Bundles.
GitLab CI/CD experience: pipelines, merge request workflows, and automated testing.
Git branching and code review discipline.
Clear written and spoken English for client-facing collaboration with partners.
Demonstrated ownership: scoping, delivering, and flagging risk without prompting.

We’re looking for someone who can ensure the reliability of converted pipelines—not only writing code, but also validating results and operating deployments responsibly. You should be comfortable investigating failures, improving performance, and maintaining high standards for correctness and reproducibility in a collaborative environment.

We are Improving, an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes. In this role, we'll support a team converting existing SAS code to Python and SQL on Databricks using generative AI. You'll work with the existing accelerators, take ownership of your deliverables end to end, and partner closely with client and stakeholder teams to ensure reliable pipeline execution, accurate validation, and dependable delivery of converted code across the data lifecycle. Responsibilities:

Pipeline reliability, validation, and delivery of converted code.

Build and run the pipelines that process SAS inventories and converted outputs.
Validate converted code for parity against SAS outputs (row counts, checksums, schema, data types).
Own deployment through Databricks Asset Bundles (DABs) and GitLab CI/CD.
Manage Unity Catalog objects, permissions, and environment promotion.
Troubleshoot job failures and performance issues.
Perform Spark and Delta Lake performance tuning.
Apply data validation and reconciliation practices to ensure correctness.
Use Infrastructure as Code or DAB-based deployment approaches.

You’ll also communicate directly with client and partner stakeholders and coordinate deliverables with clear ownership from scoping through delivery, including proactive risk flagging.

Benefits:

Long-term contract.
100% Remote.
Vacation and PTOs.
Possibility of receiving 2 bonuses per year.
2 salary reviews per year.
English classes.
Apple equipment.
Online course platform.
Budget for purchase of books.
Budget for purchasing work materials.
Much more..

Nice to have:

Ability to read SAS.
Healthcare data exposure.
Azure experience.

Any experience that helps you quickly understand legacy SAS logic, map it to Python/SQL equivalents, and collaborate across environments will be a plus.

Apply here:

Web: Apply here

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