Design, develop, and maintain enterprise data pipelines and workflows.
Build and optimize ETL/ELT processes moving data between source systems and data warehouses.
Manage data integration across platforms, databases, APIs, and third-party applications.
Develop and maintain data models supporting reporting, analytics, and operational needs.
Implement scalable cloud-based data solutions.

Key requirements

Design, develop, and maintain enterprise data pipelines and workflows.
Build and optimize ETL/ELT processes moving data between source systems and data warehouses.
Manage data integration across platforms, databases, APIs, and third-party applications.
Develop and maintain data models supporting reporting, analytics, and operational needs.
Implement scalable cloud-based data solutions.

Jobs at US Neuro

1 active role from this employer in the JobMatcher catalog.

All company jobs

Jobs at US Neuro

1 active role from this employer in the JobMatcher catalog.

All company jobs

About the role

Senior Data Engineer Position overview: The Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure that supports business intelligence, analytics, operational reporting, and data-driven decision-making. This role develops and manages data pipelines, integrates multiple data sources, promotes data quality, and collaborates with stakeholders across the organization to deliver reliable data solutions. The ideal candidate combines strong technical expertise with business acumen and can translate operational requirements into efficient, scalable data architecture.

Responsibilities

Design, develop, and maintain enterprise data pipelines and workflows.
Build and optimize ETL/ELT processes moving data between source systems and data warehouses.
Manage data integration across platforms, databases, APIs, and third-party applications.
Develop and maintain data models supporting reporting, analytics, and operational needs.
Implement scalable cloud-based data solutions.
Establish and maintain data validation, cleansing, reconciliation, and monitoring processes.
Identify and resolve data discrepancies, duplicates, and integrity issues.
Support master data management and source-of-truth initiatives.
Apply data governance, privacy, and security standards.
Partner with business leaders, analysts, and operational teams to define reporting requirements.
Deliver trusted datasets and data structures that support dashboards, KPIs, and BI tools.

About the role

Senior Data Engineer Position overview: The Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure that supports business intelligence, analytics, operational reporting, and data-driven decision-making. This role develops and manages data pipelines, integrates multiple data sources, promotes data quality, and collaborates with stakeholders across the organization to deliver reliable data solutions. The ideal candidate combines strong technical expertise with business acumen and can translate operational requirements into efficient, scalable data architecture.

Responsibilities

Design, develop, and maintain enterprise data pipelines and workflows.
Build and optimize ETL/ELT processes moving data between source systems and data warehouses.
Manage data integration across platforms, databases, APIs, and third-party applications.
Develop and maintain data models supporting reporting, analytics, and operational needs.
Implement scalable cloud-based data solutions.
Establish and maintain data validation, cleansing, reconciliation, and monitoring processes.
Identify and resolve data discrepancies, duplicates, and integrity issues.
Support master data management and source-of-truth initiatives.
Apply data governance, privacy, and security standards.
Partner with business leaders, analysts, and operational teams to define reporting requirements.
Deliver trusted datasets and data structures that support dashboards, KPIs, and BI tools.

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