Top Remote Data & Analytics Jobs in Tampa, FL

Lead technical design and delivery of Databricks lakehouse solutions: gather requirements, design and build scalable pipelines with Spark/PySpark and Python, integrate with cloud, enforce governance, optimize performance, lead code/review/testing/CI-CD, mentor engineers, and liaise with clients.

Lead architecture and implementation of enterprise Adobe Experience Platform solutions, including data ingestion, identity resolution, XDM modeling, Web SDK event collection, and Real-Time Customer Profile. Design and operationalize customer journeys and real-time activations in Adobe Journey Optimizer, integrate AEP with downstream systems (CJA, activation platforms), lead solution design/PoCs, and collaborate with analytics, engineering, and marketing teams to build reusable frameworks and govern platform data quality.

Support healthcare research projects by cleaning, managing, modeling, and visualizing large claims and survey datasets (e.g., CMS, MEPS). Produce statistical analyses, documentation, and client-ready reports using SAS and Python/R while following quality assurance and project timelines.

Perform exploratory statistics, data mining and profiling; combine and modify datasets; conduct intermediate quantitative analysis using common programming languages; build simple visualizations; track portfolio/campaign performance; document code; maintain internal controls and escalate risk issues; mentor junior analysts.

Design, deploy, and maintain scalable data infrastructure and orchestration for analytics and ML; write optimized SQL over large warehouses; partner with engineering and product to structure source systems; maintain CDC pipelines; scale reporting and expose analytical datasets enterprise-wide while ensuring data management, security, and compliance.

Design and build large-scale data migration systems, map heterogeneous legacy sources into the platform, ensure end-to-end data correctness, create repeatable tooling, support analytics and BI, optimize performance and storage, debug production data issues, and collaborate with Product, Implementation, and Ops for agency onboarding.

Design, build, and maintain data pipelines and models in Snowflake and Databricks. Optimize complex SQL queries, support ETL/ELT, perform advanced analysis, and deliver data products for supply chain, operations, and quality stakeholders. Lead requirements, trainings, and presentations across technical and non-technical teams.

Develop and maintain value-based pro forma scenario and negotiation models, automate and standardize modeling, provide hands-on analytic support for IDN negotiations, collaborate with business partners on analytic solutions, and communicate results to stakeholders.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Design, operate, and scale end-to-end data infrastructure and pipelines. Build reusable data models and a semantic layer, ensure data quality and privacy, implement observability and SLAs, support marketing and growth feeds, partner with cross-functional stakeholders, and enable ML/AI consumption and reverse ETL workflows.

Lead category and customer analytics to identify growth opportunities using POS, syndicated, and shopper data. Develop omni-channel insights, assortment and promotional recommendations, present to customers, and collaborate with Customer Development Managers to drive sales and strategic initiatives while ensuring accurate, error-free data and clear stakeholder communication.