Data Engineer, Palantir Foundry

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 10%

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Logo of Empower

Empower

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Develop, enhance, and support user-facing applications using Palantir Foundry Workshop and custom widgets • Translate business and functional requirements into scalable, user-friendly data applications • Develop and maintain frontend application logic using Foundry Workshop and React where applicable • Monitor and improve application performance, usability, reliability, and functionality • Build and maintain API-driven data ingestion pipelines • Develop, maintain, and optimize data pipelines using Python and SQL within Palantir Foundry • Transform and structure data for downstream applications, analytics, and reporting • Support the design, development, and maintenance of the Palantir Foundry Ontology • Develop reusable datasets, data models, and data assets • Partner with business stakeholders to gather, analyze, and refine requirements • Deliver solutions across the data lifecycle through application deployment • Troubleshoot data ingestion, transformation, ontology, and application issues • Participate in testing, deployment, production support, and continuous improvement • Apply standards for data quality, validation, monitoring, operational support, and reusable engineering practices • Improve engineering processes, application performance, scalability, and maintainability • Support AI-enabled solutions and integrations within Compliance workflows

🎯 Requirements

• 2- or 4-year college degree or equivalent professional experience • 2–5 years of experience in data engineering, software engineering, analytics engineering, or a related technical field • Proficiency in Python and SQL • Experience developing, maintaining, and troubleshooting data pipelines • Experience developing data applications, dashboards, or other user-facing analytical tools • Experience across data ingestion, transformation, modeling, and application development workflows • Strong analytical, troubleshooting, and problem-solving skills • Ability to translate business requirements into technical solutions • Ability to collaborate effectively with technical teams and business stakeholders • Experience with Palantir Foundry, including Code Repositories, Transforms, Ontology, and Workshop • Experience developing applications using Palantir Foundry Workshop • Experience building custom widgets or other user-facing applications within Foundry • Familiarity with frontend technologies such as React • Experience with Snowflake, Databricks, Apache Spark, Apache Airflow, dbt, or similar technologies • Experience designing or maintaining ontology-based data models • Experience building API-based data integrations • Experience developing or supporting AI-enabled data applications or workflows • Experience in financial services, Compliance, or another regulated industry

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility opportunities • Purpose, well-being, and work-life balance support • Welcoming and inclusive environment • Volunteering opportunities

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