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.

Required Both

• 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

📌 Data/Software Engineer (Argentina)
🏢 Improving South America
📍 Argentina