Top Data & Analytics Jobs in Baltimore, MD

Design, build, and maintain production-scale data systems and web-scale datasets (Spark/Flink) to support personalization ML. Drive dataset/schema design, collaborate with algorithm teams, and improve distributed big-data processing for member experience.

Lead the technical development and automation of enrollment forecasting models, collaborating with various departments to enhance decision-making and forecast accuracy.

Define and govern enterprise data architecture, models, canonical and semantic layers, field-level mappings, and data governance. Partner with IT, Data Engineering, Security, and product teams to ensure data quality, lineage, integrations (Boomi), and platform alignment (Salesforce, Snowflake, NetSuite). Lead M&A data activities, perform hands-on data profiling and validation, and drive adoption of enterprise data standards to support analytics, AI, and automation initiatives.

Manage receipt-based data ingestion (OCR, transcription, email, account connections); ensure pipeline stability and data quality; translate business requirements into collection specs; partner with Engineering and Product; manage vendors, forecasting and budgets; produce KPI reporting; and support EU rollout and GDPR-aligned processes.

Design, build, and modernize data solutions in a hybrid cloud environment. Implement ingestion, ELT pipelines, APIs/microservices, streaming and batch processing, data security, unit tests, code reviews, and performance optimizations to support analytics and applications.

Designs, develops, and maintains cloud and on‑prem data solutions for provider master data, roster integrations, contract/network participation tracking, ETL/ELT pipelines, reporting datasets, and dashboards. Provides production support, documentation, data modeling, and stakeholder collaboration to deliver validated analytics and BI products for network management and provider operations.

Serve as the technical bridge between GenLogs' data platform and customers: discover high-value use cases, communicate capabilities, build rapid prototypes/POCs (SQL, Snowflake, Python/Streamlit), translate requirements, and guide engineering/data teams to production while traveling to customers ~1-2 times/month.

Serve as embedded BI lead for a divisional sales book, delivering actionable insights from syndicated and commercial data, leading opportunity analysis, training field teams, supporting Power BI reporting, and translating complex data into executive presentations to drive sales performance and planning.

Design, develop, and maintain Customer Data Platform solutions and data pipelines to create unified customer profiles, manage identity resolution, enable audience segmentation and activation, ensure data quality and governance, and support integrations with marketing, CRM, and cloud data systems.

Design, build, test, deploy, and support enterprise data solutions for financial reporting, reserving, and claims. Develop and maintain pipelines, transformations, data models, and controls using SQL, Python, PySpark, and Microsoft Fabric. Automate reconciliations and data quality checks, partner with business stakeholders, perform testing, review code, mentor peers, and resolve production issues to improve reporting accuracy and operational efficiency.