Top Remote Data & Analytics Jobs

Lead design and delivery of scalable production data pipelines and data products (Spark/Python/SQL) on Databricks; integrate diverse federal health systems, define reusable ingestion patterns, ensure data quality/governance, mentor engineers, and troubleshoot/optimize production workflows.

Design, build, and maintain ETL/ELT pipelines and Delta Lake lakehouse architectures on AWS/Databricks using Python, SQL, and PySpark. Optimize performance, implement data quality and governance, support schema design and data modeling, integrate pipelines into CI/CD, document lineage for compliance, and troubleshoot data issues across environments.

Build and maintain SQL queries and automated data workflows to support CARF and 1099-DA regulatory reporting. Validate, reconcile, and document reporting data; partner with cross-functional teams; track work in Jira; identify automation opportunities; support testing, audits, and jurisdictional implementations.

Drive laboratory efficiency and profitability through data analysis, KPI dashboards, and continuous improvement. Partner with field and lab stakeholders to prioritize initiatives, provide reporting and strategic recommendations, coach operational teams, and support execution using PMO tools and Microsoft Office.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

The Actuary will lead model development and validation in the Modeling & ALM team to support financial reporting and strategic decision-making.

Lead Workday reporting operations and governance, manage a small team, build and validate advanced Workday reports and dashboards, maintain documentation and standards, partner with HR and stakeholders to deliver accurate HR reporting and improve data quality.

Build and maintain scalable ETL/data pipelines and internal frameworks to support ML and product teams. Drive architecture, observability, data quality, and engineering best practices across AI/ML workflows and prompt-engineering pipelines.

Serve as a senior advisor on enterprise data architecture and Adobe Experience Platform. Lead client discovery, design XDM schemas and identity resolution, guide data ingestion/ETL, governance, and Customer 360 initiatives. Provide technical leadership, mentor teams, review architecture, and contribute templates and best practices across consulting engagements.

Design, develop, test, and maintain client-facing software across web, backend, mobile, APIs, and automation. Translate business requirements into technical solutions, write clean code, participate in code reviews, troubleshoot and optimize applications, and recommend architectural improvements. Collaborate with clients and stakeholders, manage project priorities, mentor junior developers, and stay current with modern technologies.