Staff Data Engineer

Annual releases gave way to two-week sprints years ago, and the platform now handles over 200 million API calls a day. We run one of the larger SaaS platforms for commercial insurance carriers, processing millions of policy transactions a year. Most engineers work remotely and come into the office one week a quarter for planning.

Job summary:

Torres Labs is looking for a Staff Data Engineer to join a small, steady team. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. Our team is spread across 9 countries. Headquarters is in Waltham. We hire in Bosnia and Herzegovina through an employer of record, so this is a regular full-time job with local payroll and statutory benefits. Core hours are 9:00 AM to 1:00 PM US Eastern.

In this role you will:

• Handle PII according to retention, masking and access policies.
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg.
• Maintain CI for data code and review pull requests.
• Process large datasets with Spark on Databricks or EMR.
• Build batch and streaming pipelines with Airflow, Dagster or Prefect.
• Write data quality tests with dbt or Great Expectations and alert on failures.

Qualifications:

• 8-10 years of data engineering, or backend work with data at volume.
• Familiarity with Git, CI/CD and testing practices for data code.
• Strong Python for data processing.
• Expert SQL, including window functions and query tuning.

Preferred:

• Terraform for data infrastructure.
• Reverse ETL tools like Hightouch or Census.

Benefits:

• 20 days paid time off.
• Public holidays observed per your country.
• Annual learning budget.
• Paid sick days.

The posting will close once we have a strong shortlist.

We review applications as they come in.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Torres Labs.