Remote Data Engineer - Cloud & SaaS Integrations

Forest Row; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible Working Options

Health Insurance

Parental Leave

Home Office Allowance

Professional Development Stipend

Peer Recognition Program

Job summary

DoiT is hiring a Data Engineer to own the data side of our integrations across SaaS platforms, billing APIs, and usage data. You will expand visibility of customer spend, ensure data correctness, and design models to normalize diverse vendor bills for comparability.

You will work AI-augmented from day one, prototyping approaches, generating code, and ensuring data quality across ingestion and reconciliation, while collaborating with product, support, and engineering teams.

Qualifications

• 3+ years of professional experience in data engineering or a data-heavy backend role with production ownership of pipelines.
• Strong SQL—ability to write, read and reason about non-trivial analytical queries.
• Hands-on experience building and operating data pipelines with an orchestration framework.
• Strong Python, or another language you use fluently for data work.
• Experience with a cloud data warehouse or analytical store (BigQuery, ClickHouse, Snowflake, Redshift or similar).
• Experience integrating third-party REST APIs, including handling pagination, rate limits, partial failures and restated data.
• AI-augmented working style and ability to discuss concrete benefits from AI tools.
• Excellent communication skills in English.

Skills

SQL

Python

Data pipelines

REST API integration

AI tooling

Tools

BigQuery

Snowflake

Redshift

Airflow

ClickHouse

Job description

Job Overview

Through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a \"line item\" means. We're hiring a Data Engineer to own the data side of this. Your mandate is expanding visibility - bringing more of a customer's spend into the platform, from more vendors, at a quality bar people can make financial decisions on. The vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about where it earns its place. Build new integrations against third‑party billing and usage APIs, and get more of our customers' spend visible in the platform. Working AI-augmented. Use AI daily across the full span of your work — exploring unfamiliar codebases and third‑party APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation. Push on what the tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar. Data correctness and completeness. Own the quality of the data our integrations produce: duplication, gaps, and race conditions in ingestion and reprocessing, deduplication of spend that also arrives via cloud marketplaces, and support for customers' negotiated rates rather than public list pricing. Build the checks and reconciliation that let us prove the numbers are right rather than hope they are. Design and build the models that make dozens of differently‑shaped vendor bills comparable — consistent units, currencies, time granularity, resource and service taxonomies, and cost categories. Work with product, support, and the engineers building on top of this data to understand where the gaps hurt.

Qualifications & Experience

• 3+ years of professional experience in data engineering or a data‑heavy backend role, with production ownership of pipelines that other people depend on
• Strong SQL - you can write, read and reason about the performance of non‑trivial analytical queries
• Hands‑on experience building and operating data pipelines with an orchestration framework.
• Strong Python, or another language you use fluently for data work
• Experience with a cloud data warehouse or analytical store ( BigQuery , ClickHouse, Snowflake, Redshift or similar)
• Experience integrating third‑party REST APIs, including handling the realities: pagination, rate limits, partial failures, late‑arriving and restated data, and vendors whose documentation is wrong
• A real instinct for data correctness.
• AI‑augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them
• Excellent communication skills in English, both written and verbal

Bonus Points

• Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, marketplace billing, or the FOCUS specification
• Experience with systems that carry financial or audit‑grade correctness requirements - invoicing, metering, revenue reconciliation, or billing engines
• Exposure to FinOps practices or cloud financial management products

Benefits

• Flexible Working Options
• Health Insurance
• Parental Leave
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program

Many Do'ers, One Team DoiT unites as Many Do'ers, One Team , where diversity is more than a goal-it's our strength. LI-Remote

Location & Company Overview

Our Data Engineer will be an integral part of our R&D team. This role is based remotely as a full‑time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal.

DoiT is a global technology company that works with cloud‑driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well‑architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. An award‑winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. Cloud spend is no longer just AWS, Google Cloud and Azure. Our customers now run a large and growing share of their technology spend.