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À propos
nOps is the leading automated FinOps platform for cloud cost optimization, managing over $4B in annual cloud spend for companies from fast growing startups to global enterprises across AWS, Microsoft Azure, and Google Cloud. The team is looking for a junior data engineer to work alongside our senior data lead and help us scale our data pipelines and platform. The Role
Builds and maintains the data pipelines that power the nOps platform. Works hands on in Databricks for ingestion, transformation, and modeling across our data lakehouse. Supports backend infrastructure beyond Databricks, including relational databases and APIs. Absorbs institutional knowledge from senior data engineers and helps distribute workload across the team. Responsibilities
Pipeline Development Builds, maintains, and improves data pipelines for ingestion, transformation, and modeling in Databricks. Writes clean, well tested Python and SQL to support our data infrastructure. Monitors pipeline health and proactively resolves issues before they impact customers. Platform Support Supports backend infrastructure beyond Databricks, including connections to relational databases like Postgres. Partners with senior data engineers to scope and execute new pipeline work. Helps build the infrastructure that connects nOps to our customers' cloud environments. Knowledge and Documentation Helps document and formalize standard operating procedures for existing pipelines so the team can scale. Builds institutional knowledge by learning the system end to end and supporting senior data leads. Identifies opportunities to modernize legacy pipelines and processes. Requirements
1 to 3 years of experience as a data engineer or in a closely related role. Hands on experience building or maintaining pipelines in Databricks. Strong fluency in Python. Experience with backend relational databases such as Postgres. Active use of AI coding tools like Cursor or Claude Code in your day to day workflow. Self starter mentality, comfortable with ambiguity, curious about how the whole system works. Nice to Have
Experience with AWS infrastructure. Background in FinOps, cloud cost optimization, observability, or a related infrastructure or DevOps category. Experience building or maintaining ETL pipelines at scale. Familiarity with version control and modern dev workflows. Exposure to PySpark or distributed data processing frameworks. Why nOps
Junior seat with real growth opportunity to learn from experienced data engineers and grow into a senior role. Direct exposure to a modern data stack including Databricks, AWS, and Python at scale. Real impact on a fast growing FinOps platform powering enterprise cloud cost optimization across AWS, Microsoft Azure, and Google Cloud.
Compétences linguistiques
- English
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