Top Remote Data & Analytics Jobs in Orlando, FL

Develops and maintains metadata governance frameworks for a DoD customer, including automated metadata tagging, data lineage tracking, schema alignment, catalog interoperability, and compliance reporting. Integrates governance workflows across Data Catalog, Unity Catalog, OpenLineage, ESRI Kubernetes, GIS metadata repositories, and external data sources. Supports discoverability, classification, security, and real-time information sharing across defense, intelligence, interagency, and international partner environments.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead a team to analyze, optimize, and grow merchant revenue using analytics and AI. Define strategy, set KPIs, deploy ML solutions, drive go-to-market alignment, execute tests, and deliver actionable insights to executives and cross-functional partners.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

Supports government program data collection and analysis by developing reports, dashboards, forecast models, automated reporting solutions, and briefing materials. Performs statistical analysis, data modeling, visualization, database development, documentation, and ad hoc reporting. Collaborates with government and contractor stakeholders, supports data collection tools, identifies performance indicators, and presents findings to agency leadership. The role is remote with potential future work at a Washington, DC government facility.

Designs, builds, tests, and maintains scalable AWS and Databricks data platforms, pipelines, ETL/ELT processes, data marts, integrations, and governance solutions. Develops batch and near-real-time data ingestion, ensures quality, security, performance, and audit readiness, and supports migration, archiving, disaster recovery, CI/CD, and reporting. Collaborates with architecture, governance, migration, and delivery teams in an Agile environment while mentoring junior engineers and supporting federal modernization objectives.

Owns enterprise data architecture across on-premises and cloud systems. Designs data models, integration patterns, governance standards, security controls, and cloud migration strategies. Evaluates data platforms, documents architecture decisions, supports CUI compliance with NIST and CMMC requirements, and partners with technical, security, infrastructure, application, and business teams. Mentors engineers and analysts while communicating technical recommendations to executive and non-technical audiences.

Supports analysis of personal lines product performance and competitive position. Gathers, validates, cleans, and organizes internal and external data; performs foundational statistical analysis; maintains reports, visualizations, spreadsheets, and dashboards; uses SQL and analytical code; documents methods and findings; collaborates with Product and cross-functional teams; and contributes to defined-scope projects and process improvements under guidance.

Designs, builds, and operates scalable batch and streaming data pipelines, ETL/ELT workflows, cloud solutions, and secure Python REST APIs. Develops data foundations for machine learning, generative AI, embeddings, and retrieval-based applications. Ensures data quality, security, observability, lineage, and reliability while optimizing performance and cost. Leads architecture and code reviews, establishes engineering standards, mentors engineers, and collaborates with product, analytics, data science, and machine learning teams.

Leads analytics for a designated sub-vertical, serving as the primary analytics partner to Sales and senior clients. Translates ambiguous business questions into actionable insights, manages analytic engagements, supports partner performance, and influences campaign strategy. Uses SQL, AI tools, and compelling storytelling to deliver analysis, QBR narratives, measurement frameworks, and recommendations. Represents analytics in cross-functional and external discussions while helping prioritize team capacity and evolve scalable analytic processes.

Develops, architects, and maintains production ETL/ELT and C#/.NET data pipelines across cloud data platforms. Responsibilities include supporting Iceberg, DynamoDB, AWS Lambda, and Trino/Starburst systems; onboarding data sources; tuning performance; monitoring data quality; resolving incidents; coordinating schemas; documenting processes; mentoring engineers; and supporting releases, deployments, architecture, and roadmap decisions.