Senior Data Engineer

About the role

The Banner is seeking an experienced and hands-on Senior Data Engineer to help scale and mature our modern cloud-based data platform as we expand operations through the acquisition and integration of the Pittsburgh Post-Gazette.

Responsibilities

• Data Platform and Pipeline Engineering
• Design, build, and maintain scalable batch and near-real-time data pipelines on AWS.
• Develop robust ETL and ELT workflows that integrate data from multiple operational systems.
• Expand and evolve our existing AWS-based data lake architecture to support multi-organization analytics and reporting.
• Standardize ingestion, transformation, modeling, and serving layers across acquired systems and platforms.
• Contribute to architecture decisions and long-term data platform strategy.
• Build reliable, reusable, and well-documented data assets that support analytics, reporting, and operational decision-making.
• Acquisition and Systems Integration
• Lead data integration work related to Pittsburgh Post-Gazette systems and reporting infrastructure.
• Centralize fragmented reporting pipelines and migrate ad hoc reporting processes into governed, enterprise-grade workflows.
• Create scalable mechanisms for aligning KPIs, metrics, definitions, and operational reporting across organizations.
• Partner with technical and business teams to understand source systems, reporting needs, and integration priorities.
• Help establish a durable data foundation that supports organizational growth and future acquisitions or integrations.
• Data Governance, Quality, and Reliability
• Establish data governance frameworks, lineage, quality checks, observability, and operational standards.
• Implement monitoring, alerting, validation, and recovery mechanisms for critical data pipelines.
• Improve data reliability, consistency, documentation, discoverability, and trust.
• Define and promote engineering best practices for data ingestion, transformation, testing, deployment, and maintenance.
• Identify and resolve data quality issues in partnership with analytics, technology, and business stakeholders.
• Analytics Enablement
• Partner closely with analytics, product, editorial, marketing, subscriptions, advertising, philanthropy, finance, and operations teams.
• Enable high-quality dashboards and reporting through curated datasets, semantic models, and trusted data sources.
• Support Power BI reporting infrastructure and optimize downstream analytical workflows.
• Translate business needs into scalable data models and analytical solutions.
• Help teams across the organization use data more effectively, consistently, and confidently.

Requirements

• 10+ years of experience in data engineering, analytics engineering, backend engineering, or related data platform roles.
• Strong experience designing, building, and operating modern cloud-based data platforms on AWS.
• Strong experience building and orchestrating ETL and ELT pipelines at scale.
• Experience working with data lakes, data warehouses, lakehouse architectures, or similar cloud-native data ecosystems.
• Strong understanding of data governance, lineage, quality, observability, and reliability concepts.
• Experience supporting BI and analytics platforms, including Microsoft Power BI.
• Strong SQL skills and experience working with complex operational and analytical data sources.
• Strong communication skills and the ability to work directly with business stakeholders.
• Ability to design scalable data models and curated datasets that support reporting, analytics, and decision-making.
• Ability to balance technical rigor with practical execution in a fast-moving environment.
• A collaborative mindset and comfort working across technical, analytical, and non-technical teams.

Nice to have

• Experience building enterprise data lakes or lakehouse architectures.
• Experience with media, publishing, subscription, advertising, audience analytics, or digital consumer product data.
• Experience integrating data from content management systems, subscription platforms, advertising systems, CRM systems, finance systems, or marketing platforms.
• Experience with modern data transformation, orchestration, observability, or cataloging tools.
• Experience supporting data migration, acquisition integration, or multi-organization reporting environments.
• Familiarity with data privacy, access controls, and governance practices in a complex organization.