Back
Popular software/data engineer title, hybrid work, and recognizable employer increase applicant competition moderately.
Core data engineering skills (Python, SQL, ETL, cloud) are highly transferable across industries.
Required Python/SQL and cloud experience create moderate shortlisting filters without explicit years.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain applications using Python, SQL, and cloud-native tools focusing on scalable and high-quality systems.
Build and optimize data pipelines, ETL workflows, and API integrations; participate in architecture discussions and code reviews.
Implement CI/CD pipelines, monitor application performance and reliability, and troubleshoot production issues with root-cause analysis.
Proficiency in Python and SQL; knowledge of Spark/Scala is a plus.
Experience with cloud platforms such as AWS or Azure, containerization (Docker), and orchestration (Kubernetes).
Familiarity with software development lifecycle, version control (Git), and unit/integration testing.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working across cloud platforms and modern engineering practices including CI/CD and automated testing.
Ability to engage in architecture discussions and produce design improvements indicating seniority in software engineering.
Familiarity with Palantir Foundry concepts (Ontology, Pipelines, Workshop) is advantageous and suggests fit for data-centric environments.