Top Data & Analytics Jobs in Baltimore, MD

Leads database architecture, administration, migration, performance tuning, security, resilience, and production support for a CRM modernization effort. Migrates Oracle Siebel data to AWS PostgreSQL environments, develops ETL processes, validates data quality, supports integration with Pega and enterprise systems, and ensures compliance with availability, FedRAMP, and CMS requirements. Provides technical guidance, documentation, troubleshooting, cutover support, and stakeholder communication.

Performs metadata cleanup, remediation, validation, and quality assurance in Ex Libris Alma for a federal research library. Reviews bibliographic and research metadata, verifies scholarly identifiers, applies MARC, RDA, Dublin Core, authority-control, and controlled-vocabulary standards, and uses Python or related tools for analysis and automation. Executes approved changes within governance and change-control procedures, maintains audit documentation, prepares progress reports, and collaborates with library, technical, and government stakeholders.

Supports data governance for acquired-company integration initiatives by maintaining inventories, metadata, ownership records, retention documentation, quality trackers, lineage, issue logs, and readiness materials. Reviews structured and unstructured content, coordinates data stewards and cross-functional stakeholders, documents privacy and compliance requirements, tracks approvals and legal holds, and assists with migration, archival, decommissioning, and analytics enablement activities.

Lead production of federal species range maps for marine and anadromous taxa. Aggregate, normalize, transform, and validate spatial data; analyze habitat intersects; coordinate iterative reviews with FWS and NOAA SMEs; prepare QA documentation; and secure government sign-off for map deliverables.

Develop and maintain enterprise data engineering and business intelligence solutions. Build and optimize SQL queries, datasets, dashboards, reports, ETL/ELT processes, and data integrations using Python and BI platforms. Analyze and validate complex data, resolve quality and performance issues, support data modeling, and translate stakeholder requirements into technical solutions. Collaborate across technical and business teams using Agile practices, Jira, and GitHub while documenting and improving scalable reporting systems.

Build dashboards, reports, and analytical views for healthcare clients using clinical quality and claims data. Gather ambiguous requirements, write and optimize SQL queries, collaborate with data and product teams, present deliverables to stakeholders, manage feedback through sign-off, and convert recurring client needs into scalable product features. The role requires strong BI platform, data warehousing, cloud, healthcare, client-facing, and AI-tooling expertise.

Build and operate scalable AWS data platforms, batch and near-real-time pipelines, ETL/ELT workflows, and governed data lake or lakehouse architecture. Lead data integration for organizational acquisitions, improve data quality and observability, and support Power BI reporting through curated datasets and semantic models. Partner with technical and business stakeholders across editorial, subscriptions, advertising, finance, marketing, and operations to deliver reliable analytics and reporting foundations.

Lead the redesign and modernization of a legacy database system for a financial services client. Analyze existing architecture, design scalable data models and schemas, optimize tables and stored procedures, implement governance and security controls, and ensure performance, auditability, and regulatory compliance. Partner with stakeholders in an Agile environment, support iterative development, and mentor team members on database modeling best practices.

Develops, troubleshoots, and supports enterprise Oracle database applications using advanced SQL and PL/SQL. Responsibilities include debugging production issues, optimizing database code, maintaining data feeds and integrations across NiFi, AWS, APIs, and files, performing data validation and reconciliation, supporting deployments and incidents, tuning performance, and collaborating with DBAs and infrastructure teams on RAC, recovery, Data Guard, security, and operational reliability.

Designs enterprise database strategies and operational, programming, and security standards. Builds large relational databases, integrates new systems with existing data warehouse structures, and improves database performance and functionality. Requires a technical bachelor’s degree, 4–9 years of database administration experience, DoD IAT Level II certification, and an active TS/SCI clearance with polygraph.