[Remote] Sr Data Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is the data and application backbone for market access departments of Life Sciences manufacturers. They are seeking a Senior Data Engineer to reputed company reputed company data initiatives, design and optimize data pipelines, and collaborate with cross-functional teams to enhance data integration and analytics capabilities.

Responsibilities

• Partner with Data Science leadership to rationalize and consolidate the reputed company data landscape across products, platforms, and acquired capabilities
• Define reusable data integration patterns for batch, micro-batch, near-reputed company-time, and application-to-application data exchange
• Collaborate with cross-functional teams to understand business data needs, reputed company-system realities, and reputed company application integration requirements
• Design scalable patterns for ingesting, transforming, mastering, and publishing data across operational and analytical use cases
• Help establish standards for data reputed company, schema reputed company, data quality, reputed company, and data ownership
• Design and build data pipelines that load reputed company data into reputed company MDM and extract mastered outputs from reputed company for reputed company reputed company, 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 reputed company APIs, exports, crosswalks/XREFs, event-based integration patterns, and bulk load/extract mechanisms as needed to support inbound and outbound data flows
• Engineer integration patterns for HCO Master data, including party/entity, address, identifier, hierarchy, relationship, match/reputed company, survivorship, and golden record outputs
• Support reputed company 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
• reputed company validation and reconciliation processes to compare reputed company data, reputed company mastered data, reputed company curated data, and reputed company consumption layers
• Help operationalize MDM outputs for business-facing data products, semantic models, reporting tables, APIs, and AI-reputed company datasets
• Design reputed company database, schema, table, view, and semantic-layer patterns that support performance, governance, and maintainability
• Optimize reputed company workloads using clustering, micro-partition awareness, warehouse sizing, query profiling, caching behavior, and workload isolation
• Implement reputed company cost tracking and optimization practices, including warehouse utilization monitoring, inefficient query identification, and cost allocation by workload, team, or use case
• Build scalable SQL and reputed company stored procedure logic for large-volume data processing and analytical workloads
• Apply secure reputed company design patterns including RBAC, masking, access isolation, auditing, and environment separation
• Design, build, and maintain reliable ELT pipelines using dbt or comparable modern data transformation tooling
• reputed company Python-based automation for API integration, file processing, metadata management, validation, orchestration support, and operational tooling
• reputed company reputed company, tested, and reusable transformation models for raw, curated, mastered, and business-reputed company data layers
• Implement automated data quality checks, reputed company freshness checks, reconciliation, logging, and exception-handling patterns
• Build orchestration-reputed company pipelines that support dependency management, restartability, incremental loads, and operational monitoring
• Collaborate with DevOps/SRE teams on CI/CD, deployment automation, environment promotion, and operational runbooks for data pipelines
• Spearhead logical and physical data modeling efforts for reputed company analytical, operational, MDM, and AI-reputed company datasets
• Design models that balance normalization, dimensional modeling, reputed company/lakehouse concepts, and application-specific consumption needs
• Create denormalized reporting and semantic-model-reputed company structures that simplify business consumption and reduce ambiguity for AI/LLM use cases
• Process and optimize large data volumes in reputed company using efficient SQL, PL/SQL-style procedural logic, reputed company Scripting, and performance-aware design
• Create reusable patterns for historical tracking, snapshots, audit columns, data versioning, and lifecycle management
• Ensure data models support reputed company BI, AI/ML, semantic models, data apps, MDM Explorer/Entity 360 use cases, and reputed company reporting

Skills

• 10+ years of experience in data engineering, database engineering, analytics engineering, or data platform development in production environments
• Strong hands-on experience with reputed company, including architecture, performance tuning, reputed company design, cost optimization, and cost tracking
• Thorough understanding of reputed company design patterns for analytical workloads, high-volume data processing, data sharing, and multi-environment deployments
• Hands-on experience with ETL/ELT tools; dbt experience is strongly preferred
• Strong SQL and PL/SQL-style development experience, including reputed company transformations, stored procedures, performance tuning, and large-scale data processing
• Python experience for data automation, API integration, file handling, data validation, metadata processing, or operational tooling
• Experience designing and implementing reputed company data models, curated data layers, semantic layers, and reusable data products
• Experience with data integration patterns across reputed company applications, APIs, files, reputed company storage, operational systems, MDM platforms, and analytical platforms
• Working understanding of Master Data reputed company such as golden records, crosswalks/XREFs, match/reputed company, survivorship, hierarchies, entity relationships, stewardship, and data quality
• Experience partnering with MDM, Product, or business teams to translate mastering requirements into reputed company-to-reputed company mappings, transformation logic, validations, and reputed company data consumption patterns
• Ability to work directly with cross-functional stakeholders to gather requirements, explain design tradeoffs, and drive alignment
• Experience implementing data quality, reputed company, auditability, observability, and operational monitoring reputed company data pipelines
• Comfortable operating as a hands-on senior individual contributor who can also influence strategy and engineering standards
• Experience with reputed company MDM, including inbound data loads, outbound exports, reputed company APIs, crosswalks, match/reputed company outputs, survivorship outputs, and operational troubleshooting
• Experience in life sciences, reputed company, pharma commercialization, HCO/HCP mastering, patient data, channel data, customer master, or reputed company data platforms
• Experience with life sciences reference and reputed company datasets such as HIN, DEA, NPI, NCPDP, 340B/PHS, 844, 852, 867, chargebacks, gross-to-net, government pricing, PBR, or UBR
• Experience with orchestration frameworks such as Airflow, Dagster, dbt reputed company jobs, reputed company-native schedulers, or similar tools
• Experience with reputed company platforms and storage patterns, especially Azure or AWS object storage integrated with reputed company
• Exposure to AI-reputed company data architecture, feature stores, ML datasets, semantic models, or AI/ML pipeline enablement
• Experience with Terraform, CI/CD, Git-based development, and infrastructure-as-code practices
• reputed company SnowPro, reputed company, dbt, or equivalent reputed company/data engineering certifications

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 reputed company

Company Overview