8 hours ago
Remote, United Kingdom +7 moreMid Level
Responsibilities
- Build new integrations with third-party billing and usage APIs and maintain existing integrations as vendor APIs and pricing models change.
- Use AI throughout exploration, prototyping, coding, debugging, testing, documentation, and code review while applying judgment about quality and appropriate human oversight.
- Own data correctness and completeness, including deduplication, reconciliation, race-condition handling, late or restated data, marketplace spend, and negotiated pricing.
- Design normalization models for units, currencies, time granularity, resource and service taxonomies, and cost categories across vendors.
- Own ingestion-pipeline orchestration, scheduling, backfills, and safe self-service reprocessing.
- Collaborate with product, support, and engineering teams to identify and address customer-impacting data gaps.
Requirements
- At least 3 years of professional experience in data engineering or a data-heavy backend role with production ownership of dependent pipelines.
- Strong SQL skills and strong Python or equivalent data-programming experience.
- Hands-on experience building and operating data pipelines with an orchestration framework; Dagster or Airflow is highly desired, with Prefect, dbt, or comparable experience also relevant.
- Experience with a cloud data warehouse or analytical store such as BigQuery, ClickHouse, Snowflake, or Redshift.
- Experience integrating third-party REST APIs and handling pagination, rate limits, partial failures, late-arriving data, restatements, and inaccurate documentation.
- Experience developing solutions in the cloud or using cloud services.
- Demonstrated focus on data correctness and experience using AI tools throughout an engineering workflow.
- Excellent written and verbal English communication skills and the ability to work independently and collaboratively.
- Bonus: cloud or SaaS billing data experience, familiarity with Go, financial or audit-grade systems, FinOps practices, or a BA/BS degree or equivalent practical experience.
Benefits
- Fully remote full-time employment is available in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel; contractor opportunities are available in Eastern Europe and Portugal.
- Unlimited vacation and flexible working options.
- Health insurance and parental leave.
- Employee stock option plan.
- Home office allowance and professional development stipend.
- Peer recognition program.
Tech Stack
Categories
Data Engineering
About DoiT
DoiT builds a multicloud management and FinOps platform, combined with embedded cloud engineering services, for companies running on AWS, Google Cloud, and Azure. It helps customers optimize costs, simplify billing, and improve architectures across Kubernetes, BigQuery, Snowflake, and Databricks. Founded in 2011 and headquartered in Santa Clara, it is a privately held cloud partner with a $100M Series A raised in 2019.