Top Data & Analytics Jobs

Leads and mentors a data engineering team while architecting scalable pipelines, ETL/ELT workflows, data models, streaming solutions, and cloud data platforms across Azure, Snowflake, and Microsoft Fabric. Drives AI adoption and responsible AI governance, ensures data quality, lineage, privacy, and compliance, and partners with analytics, BI, data science, and business teams to deliver trusted pharmacy data assets.

Develop data insights and analytical solutions supporting Payment Integrity transformation and operational performance. Analyze medium and large datasets, build reporting and self-service dashboards, monitor trends, perform data quality checks, and ensure outputs are accurate and auditable. Partner with data leaders, stewards, subject matter experts, and business stakeholders to document requirements, translate needs into solutions, and communicate findings that guide transformation priorities.

Design, develop, and maintain scalable batch and streaming data pipelines using Python, PySpark, SQL, Databricks, Kafka, and Azure services. Provide production support, incident resolution, vulnerability remediation, platform upgrades, and reliability improvements. Optimize data models and workloads, implement automation and AI-enabled solutions, support CI/CD and monitoring, and ensure security, governance, and healthcare privacy compliance. Collaborate with business and technology partners on enterprise data solutions.

Lead design and implementation of advanced analytics, reporting, and data tooling for chart review, targeting analytics, and risk adjustment. Build and validate data pipelines, automate integrations, ensure data quality, modernize legacy analytics, and deliver actionable insights to stakeholders across the organization.

Develop and maintain complex data pipelines and data sources using Snowflake, Airflow, Azure, SQL, and Python. Integrate on-premises and cloud data, build transformation routines, data models, stored procedures, masking solutions, monitoring tools, and automated data quality controls. Create CI/CD pipelines with GitHub Actions and collaborate with architects, analysts, and data stewards to deliver reliable analytics foundations. The role also supports scalable payment integrity data solutions and requires knowledge of data warehousing, integration, and security practices.

Designs canonical data models, scalable Snowflake pipelines, analytics-ready datasets, governance and quality frameworks, and AI/ML-enabled data solutions. Optimizes Snowflake performance, cost, reliability, observability, and fault tolerance across cloud and hybrid environments. Collaborates with analytics, BI, data science, product, and AI/ML teams to deliver trusted data assets supporting reporting, machine learning, RAG, embeddings, and LLM applications.

Build business intelligence solutions, dashboards, models, data visualizations, segmentation tools, and decision aids. Analyze structured data, identify trends and patterns, interpret results, develop actionable insights, and present recommendations. The role requires collaboration, strong communication, comfort with ambiguity, English proficiency, and weekday availability during specified business hours. Remote work is available for employees located in Puerto Rico.

Administer, optimize, and modernize enterprise SQL Server, Azure SQL, MongoDB, and MongoDB Atlas environments. Responsibilities include performance tuning, high availability, disaster recovery, security, monitoring, migrations, automation, architecture guidance, and on-call support. The role also leads database projects and adopts AI-assisted engineering solutions to improve reliability and operational efficiency.

Lead design and implementation of large-scale Azure cloud data systems and ETL/ELT pipelines using Databricks, Spark, Snowflake and LLM integrations. Build AI-driven solutions, optimize SQL performance, define architecture and best practices, mentor engineers, collaborate with stakeholders, and drive scalable, secure data platforms for analytics and machine learning.

Lead enterprise analytics strategy and transformation, drive AI and advanced analytics adoption, establish governance and best practices, partner with senior leaders to deliver measurable business outcomes, and build high-performing analytics teams to enable self-service analytics and data-driven decision-making.