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.

The role

Torres Labs needs someone who writes solid SQL and Python and treats pipelines like production software. We are headquartered in Waltham and have been hiring remotely since 2020. 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. Expect to work a schedule that overlaps with US Eastern business hours until about noon ET. Day-to-day communication is in Slack and Google Meet.

In this role you will

• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg.
• Model data in dbt using staging, intermediate and mart layers.
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python.
• Tune slow queries and expensive jobs.
• Build batch and streaming pipelines with Airflow, Dagster or Prefect.
• Document datasets and lineage in a catalogue such as DataHub or Atlan.
• Handle PII according to retention, masking and access policies.

Required qualifications

• 3+ years of data engineering, or backend work with data at volume.
• Strong Python for data processing.
• Hands-on with an orchestration tool such as Airflow.
• Familiarity with Git, CI/CD and testing practices for data code.
• Patience with messy source data and the habit of documenting assumptions.

Pay: BAM 6,200-BAM 7,700/month

Perks and benefits

• 24 days paid time off.
• Annual team retreat.
• Paid parental leave.
• Annual learning budget.
• Public holidays observed per your country.

Tell us your notice period and what salary you are looking for.

Start: Flexible.

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