Note: The job is a remote job and is open to candidates in USA. RIT Solutions, Inc. is seeking a Data Engineer with extensive experience in enterprise data engineering and system integration. The role involves leading end-to-end data migration programs and working closely with C-level executives and cross-functional teams.
Skills
- 7–10+ years of progressive enterprise data engineering, data migration, or large-scale system integration experience in complex multi-platform environments
- 3–5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises, with full ownership of technical delivery and client outcomes
- Proven hands-on experience with Palantir Foundry — Pipeline Builder, Ontology, Contour, Code Workbook, and Workshop — in a production delivery context
- Demonstrated client-facing experience advising C-level executives, enterprise architecture teams, and cross-functional business stakeholders as a trusted technical partner
- Proven delivery complexity: at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution
- Validated industry depth in at least two of: Healthcare, Financial Services, Manufacturing, Energy & Utilities, Retail, or Public Sector
- Advanced proficiency in Python and SQL; working experience in PySpark and TypeScript/JavaScript for pipeline and SDK development
- Hands-on expertise with modern ETL/ELT platforms: AWS Glue, Azure Data Factory, Informatica, Talend, Matillion, or Fivetran
- Strong working knowledge of at least one major cloud provider (AWS or Azure) — core infrastructure, managed data services, IAM, networking, and security configurations
- Experience with enterprise data warehouse and lakehouse platforms: Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, or Delta Lake
- Practical experience integrating LLMs or AI-driven tooling into data transformation, schema inference, or mapping workflows (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI)
- Familiarity with ontology frameworks (RDF, OWL) or knowledge graph platforms (Neo4j, Stardog, Palantir Ontology)
- Active Palantir certification in at least one of the following tracks is required at time of hire or within 90 days of joining: Palantir Foundry Data Engineer, Palantir Foundry Ontologist, Palantir AIP Application Developer, Palantir Foundry Platform Administrator
Benefits
- Without Benefits (W2)
Company Overview