Top Remote Data & Analytics Jobs in Jacksonville, FL

Leads the design and governance of Databricks-based data products, ETL/ELT pipelines, analytical models, metadata, business rules, and data-quality controls. Integrates pharmacy, healthcare, membership, marketing, operational, and financial data to support reliable self-service and AI-assisted analytics. Provides technical leadership, establishes standards, evaluates analytical accuracy, mentors teams, and translates business requirements into scalable, governed data capabilities.

Data Engineering Intern supporting MEMX exchange data projects. Responsibilities include collecting, organizing, validating, and improving data processes used for reporting and analysis. The intern will collaborate with technology teams, communicate technical findings, and gain hands-on experience with financial-market data while working hybrid from the Midtown Manhattan office during summer 2027.

Develop and maintain data pipelines, infrastructure, and integrations supporting analytics, data science, and business intelligence. Ensure data quality and integrity, optimize workflows, and collaborate with Operations, IT, Accounting, HR, Property Services, Marketing, and other departments. The role requires SQL Server, programming, shell scripting, cloud, containerization, version control, and data pipeline knowledge, with occasional travel and flexible scheduling as project deadlines require.

Leads the design, development, and optimization of scalable data pipelines and analytics platforms. Builds ETL/ELT workflows using Databricks and Spark, integrates and transforms source data into curated models, manages SQL Server data, and maintains documentation and lineage. Collaborates with product, analytics, and engineering teams to deliver reliable data solutions. Applies responsible AI practices and delivers projects independently within established timelines.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Builds and maintains scalable data pipelines and reusable datasets in Databricks. Ingests, validates, transforms, and models structured and unstructured data using Python, PySpark, and SQL. Integrates warehouse and cloud analytics systems, supports Tableau and Spotfire reporting, improves reliability and performance, and implements testing, monitoring, documentation, and CI/CD. Collaborates with technical and business stakeholders while providing technical guidance, code reviews, and mentorship.

Develop Power BI dashboards, reports, queries, and visualizations that support strategic supply chain decisions. Analyze business needs, perform ad hoc analysis, identify root causes, and deliver actionable insights. Collaborate with business, analytics, and technology teams to build and improve data products using cloud data environments, agile methodologies, and integrated data sources. Support data maturity, innovation, and junior team members.

Analyzes healthcare datasets to identify trends, risks, and opportunities; develops SQL-based reports, dashboards, and data solutions using Excel and reporting tools. Supports data extraction, validation, forecasting, regulatory reporting, process improvement, and ad hoc analysis. Translates stakeholder needs into analytical requirements, presents findings, documents workflows, and collaborates cross-functionally on reporting projects.

Build and maintain secure data pipelines and integrations across business platforms, laboratory systems, analytical instruments, and messy data sources. Own schema design, orchestration, monitoring, quality controls, documentation, and compliant data isolation for export-controlled information. Create a unified lakehouse foundation supporting analytics, dashboards, machine learning, R&D, manufacturing, and operations. Partner with scientists and technical teams to integrate HPLC, GC, Invert Bio, APIs, spreadsheets, PDFs, and semi-structured records.

Designs, develops, tests, and maintains enterprise ETL/ELT solutions, data pipelines, warehouses, operational data stores, and reporting marts. Responsibilities include data mapping, transformation, validation, performance tuning, data quality checks, troubleshooting, documentation, production support, and compliance with governance and security standards. The role collaborates with architects, database administrators, analysts, and application teams in Agile environments.