Junior Data Engineer

## About nOps 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.