<h1><span style="color: #000000;"><strong>Join one of Baltimore's Best Places to Work!</strong></span></h1> <div class="job__description body"> <p><strong>About the Role</strong></p> <p>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. This is a high-impact role focused on building scalable data pipelines, establishing strong data governance and engineering practices, and enabling trusted analytics across editorial, subscriptions, audience engagement, advertising, philanthropy, finance, and operations.</p> <p>You will play a critical role in consolidating fragmented reporting systems into a centralized, cloud-native data ecosystem. Your work will help leaders and teams make faster, more informed decisions through reliable, accessible, and well-governed data.</p> <p>The ideal candidate is both a strong technical engineer and a pragmatic systems thinker. You are comfortable working across business and technical teams, designing sustainable data foundations, and solving complex problems in a fast-moving digital media environment.</p> <p><strong>What You’ll Do</strong></p> <p><strong> </strong><strong>Data Platform and Pipeline Engineering</strong></p> <ul> <li>Design, build, and maintain scalable batch and near-real-time data pipelines on AWS.</li> <li>Develop robust ETL and ELT workflows that integrate data from multiple operational systems.</li> <li>Expand and evolve our existing AWS-based data lake architecture to support multi-organization analytics and reporting.</li> <li>Standardize ingestion, transformation, modeling, and serving layers across acquired systems and platforms.</li> <li>Contribute to architecture decisions and long-term data platform strategy.</li> <li>Build reliable, reusable, and well-documented data assets that support analytics, reporting, and operational decision-making.</li> </ul> <p><strong>Acquisition and Systems Integration</strong></p> <ul> <li>Lead data integration work related to Pittsburgh Post-Gazette systems and reporting infrastructure.</li> <li>Centralize fragmented reporting pipelines and migrate ad hoc reporting processes into governed, enterprise-grade workflows.</li> <li>Create scalable mechanisms for aligning KPIs, metrics, definitions, and operational reporting across organizations.</li> <li>Partner with technical and business teams to understand source systems, reporting needs, and integration priorities.</li> <li>Help establish a durable data foundation that supports organizational growth and future acquisitions or integrations.</li> </ul> <p><strong>Data Governance, Quality, and Reliability</strong></p> <ul> <li>Establish data governance frameworks, lineage, quality checks, observability, and operational standards.</li> <li>Implement monitoring, alerting, validation, and recovery mechanisms for critical data pipelines.</li> <li>Improve data reliability, consistency, documentation, discoverability, and trust.</li> <li>Define and promote engineering best practices for data ingestion, transformation, testing, deployment, and maintenance.</li> <li>Identify and resolve data quality issues in partnership with analytics, technology, and business stakeholders.</li> </ul> <p><strong>Analytics Enablement</strong></p> <ul> <li>Partner closely with analytics, product, editorial, marketing, subscriptions, advertising, philanthropy, finance, and operations teams.</li> <li>Enable high-quality dashboards and reporting through curated datasets, semantic models, and trusted data sources.</li> <li>Support Power BI reporting infrastructure and optimize downstream analytical workflows.</li> <li>Translate business needs into scalable data models and analytical solutions.</li> <li>Help teams across the organization use data more effectively, consistently, and confidently.</li> </ul> <p><strong>What You’ll Bring</strong></p> <ul> <li>10+ years of experience in data engineering, analytics engineering, backend engineering, or related data platform roles.</li> <li>Strong experience designing, building, and operating modern cloud-based data platforms on AWS.</li> <li>Strong experience building and orchestrating ETL and ELT pipelines at scale.</li> <li>Experience working with data lakes, data warehouses, lakehouse architectures, or similar cloud-native data ecosystems.</li> <li>Strong understanding of data governance, lineage, quality, observability, and reliability concepts.</li> <li>Experience supporting BI and analytics platforms, including Microsoft Power BI.</li> <li>Ability to design scalable data models and curated datasets that support reporting, analytics, and decision-making.</li> <li>Strong SQL skills and experience working with complex operational and analytical data sources.</li> <li>Strong communication skills and the ability to work directly with business stakeholders.</li> <li>Ability to balance technical rigor with practical execution in a fast-moving environment.</li> <li>A collaborative mindset and comfort working across technical, analytical, and non-technical teams.</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Experience building enterprise data lakes or lakehouse architectures.</li> <li>Experience with media, publishing, subscription, advertising, audience analytics, or digital consumer product data.</li> <li>Experience integrating data from content management systems, subscription platforms, advertising systems, CRM systems, finance systems, or marketing platforms.</li> <li>Experience with modern data transformation, orchestration, observability, or cataloging tools.</li> <li>Experience supporting data migration, acquisition integration, or multi-organization reporting environments.</li> <li>Familiarity with data privacy, access controls, and governance practices in a complex organization.</li> </ul> <p><strong>What Success Looks Like</strong></p> <p>Su