Data Engineer – Cloud, SaaS Integrations

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

📋 Description

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

• Manage existing integrations as vendor APIs and pricing structures evolve

• Lower the incremental cost of future integrations

• Leverage AI across the workflow, including codebase exploration, API exploration, prototyping, code creation and review, debugging, testing, and documentation

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

• Establish checks and reconciliation processes to ensure data accuracy

• Design and create normalized models that encompass vendor bills, units, currencies, time granularity, taxonomies, and cost categories

• Oversee orchestration, scheduling, and backfill mechanics for ingestion pipelines

• Work collaboratively with product, support, and engineering teams to identify and resolve data gaps

• Initiate and lead necessary tasks independently

⛳️ Requirements

• 3+ years of professional experience in data engineering or a data-intensive backend role, with direct ownership of pipelines relied upon by others

• Proficient in SQL

• Practical experience in building and managing data pipelines utilizing an orchestration framework

• Experience with Dagster or Airflow is highly preferred; equivalent experience with Prefect, dbt, or a similar tool is relevant if willing to work with Dagster/Airflow

• Strong proficiency in Python, or another language used effectively for data tasks

• Familiarity with cloud data warehouses or analytical stores such as BigQuery, ClickHouse, Snowflake, Redshift, or comparable platforms

• Experience in integrating third-party REST APIs, including handling pagination, rate limits, partial failures, late-arriving data, and inaccuracies in vendor documentation

• A strong instinct for data accuracy and reconciliation

• An AI-enhanced working style; actively utilizes AI tools in the engineering workflow

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

• Excellent written and spoken English skills

• Self-organized, goal-oriented, 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

• Remote work and schedule flexibility