Senior Data Engineer

Senior Data Engineer – Migration & Consolidation Experience Required: 7+ Years Location: Remote (United States) More Than 20+ Openings Travel: Up to 40% travel to client locations may be required Required Skills • 7+ years of experience in Data Engineering, System Integration, or Data Migration • Strong experience with Python and SQL • Hands-on experience with PySpark and modern data processing frameworks • Experience working with ETL/ELT and data integration tools • Strong experience building scalable and maintainable data pipelines • Experience with cloud platforms such as AWS, Azure, or GCP • Experience with modern data warehouse and lakehouse platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or Delta Lake • Experience integrating enterprise systems such as SAP and Oracle • Knowledge of semantic modeling, knowledge graphs, or ontology frameworks • Exposure to AI-driven tooling or LLM-based solutions in data workflows • Strong problem-solving skills and ability to work on complex enterprise data environments • Experience collaborating with technical teams and enterprise stakeholders Preferred Skills • Experience with real-time streaming platforms such as Kafka, Kinesis, Event Hubs, or Pub/Sub • Experience working with enterprise Master Data Management platforms • Knowledge of CI/CD pipelines and infrastructure-as-code tools • Experience building APIs and microservices • Understanding of data governance, data privacy, and regulatory frameworks such as GDPR, HIPAA, SOC2, or CCPA • Familiarity with data observability, catalog, and lineage platforms • Knowledge of enterprise business processes such as financial operations, supply chain, procurement, or revenue workflows • Knowledge of industry standards such as EDI, HL7, FHIR, SWIFT, and XBRL