Data Engineer – Cloud, SaaS Integrations

This is a fully remote position, open to applicants in Sweden, +5 more countries.

📋 Description

• Develop new integrations with third-party billing and usage APIs.

• Sustain current integrations as vendors modify their APIs and pricing structures.

• Lower the marginal cost associated with future integrations.

• Leverage AI throughout the codebase for API exploration, prototyping, coding, debugging, testing, and documentation.

• Take ownership of data quality, addressing issues such as duplication, gaps, race conditions, deduplication, and negotiated-rate support.

• Create checks and reconciliation processes to ensure data accuracy.

• Design and construct normalized models encompassing vendor bills, units, currencies, time granularity, taxonomies, and cost categories.

• Manage orchestration, scheduling, and backfill mechanisms for ingestion pipelines.

• Collaborate with product, support, and engineering teams to pinpoint and resolve data gaps.

• Actively suggest enhancements instead of waiting for specifications.

⛳️ Requirements

• Over 3 years of professional experience in data engineering or a data-intensive backend role, with production responsibility for pipelines relied upon by others.

• Proficient in SQL, capable of writing, reading, and evaluating the performance of complex analytical queries.

• Practical experience in constructing and managing data pipelines using an orchestration framework. Familiarity with Dagster or Airflow is highly preferred; equivalent experience with Prefect, dbt, or a similar tool is acceptable if you are prepared to work with Dagster/Airflow.

• Strong command of Python or another programming language you are proficient in for data-related tasks.

• Experience with a cloud data warehouse or analytical store (such as BigQuery, ClickHouse, Snowflake, Redshift, or similar platforms).

• Experience integrating third-party REST APIs, including managing pagination, rate limits, partial failures, late-arriving and restated data, along with navigating inaccurate vendor documentation.

• A genuine instinct for data accuracy, including reconciling totals and building assertions.

• AI-enhanced working style – currently utilizing AI tools throughout the engineering workflow.

• Experience in developing solutions in the cloud and/or utilizing cloud services.

• Exceptional communication skills in English, both written and verbal.

• Self-organized, goal-oriented, and self-motivated; confident, thorough, and persistent.

🏝️ Benefits

• Unlimited Vacation

• Flexible Working Options

• Health Insurance

• Parental Leave

• Employee Stock Option Plan

• Home Office Allowance

• Professional Development Stipend

• Peer Recognition Program