Integrichain1
Sr Data Engineer
Philadelphia, PA, United States · Senior
No sponsorshipDetected 27 days ago
PythonGitSQLSnowflakeAWSAzureCloud PlatformsTerraformCI/CDDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningAirflowdbtData EngineeringData ScienceLLMsAI OrchestrationOutbound SalesForecastingAuditingPatient CareLeadership
About the role
- IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers.
- For more information, visit www.integrichain.com, or follow us on Twitter @ IntegriChain and LinkedIn.
Responsibilities
- Partner with Data Science leadership to rationalize and consolidate the enterprise data landscape across products, platforms, and acquired capabilities.
- Collaborate with cross-functional teams to understand business data needs, source-system realities, and enterprise application integration requirements.
- Design scalable patterns for ingesting, transforming, mastering, and publishing data across operational and analytical use cases.
- Design and build data pipelines that load source data into Reltio MDM and extract mastered outputs from Reltio for downstream Snowflake, analytics, AI, and operational use cases.
- Partner with MDM configuration and Product Management teams to translate HCO mastering requirements into data pipeline, mapping, validation, reconciliation, and publishing patterns.
- Work with Reltio APIs, exports, crosswalks/XREFs, event-based integration patterns, and bulk load/extract mechanisms as needed to support inbound and outbound data flows.
- Support source ingestion and reference data integration involving datasets such as HIN, DEA, NPI, NCPDP, 340B/PHS, channel outlet data, customer/account data, and other life sciences master/reference sources.
- Develop validation and reconciliation processes to compare source data, Reltio mastered data, Snowflake curated data, and downstream consumption layers.
- Design Snowflake database, schema, table, view, and semantic-layer patterns that support performance, governance, and maintainability.
- Optimize Snowflake workloads using clustering, micro-partition awareness, warehouse sizing, query profiling, caching behavior, and workload isolation.
Requirements
- ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine.
Nice to have
- Define reusable data integration patterns for batch, micro-batch, near-real-time, and application-to-application data exchange.
- Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership.
- Engineer integration patterns for HCO Master data, including party/entity, address, identifier, hierarchy, relationship, match/merge, survivorship, and golden record outputs.
- Help operationalize MDM outputs for business-facing data products, semantic models, reporting tables, APIs, and AI-ready datasets.
- Spearhead logical and physical data modeling efforts for enterprise analytical, operational, MDM, and AI-ready datasets.
- 10+ years of experience in data engineering, database engineering, analytics engineering, or data platform development in production environments.
Benefits
- Excellent and affordable medical benefits + non-medical perks including Flexible Paid Time Off and much more!
- Robust Learning & Development opportunities including over 700+ development courses free to all employees
Company info
- Ambler, PA (USA); Pune, India; and Medellín, Colombia.
- Position Overview
Visa & Work Authorization
- Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by IntegriChain.
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