Junior Data Engineer

Junior Data Engineer

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.