Top Remote Data & Analytics Jobs

Leads enterprise data engineering by architecting Snowflake and dbt platforms, scalable pipelines, data models, governance, observability, and integrations. Partners with business, architecture, compliance, and technology teams to deliver reliable data products. Resolves complex production issues, improves data quality and performance, supports AI/ML data infrastructure, and mentors engineers while establishing engineering standards and technical direction.

Build, test, and support Databricks data pipelines using Python, PySpark, and SQL. Ingest, clean, validate, and transform source data into reusable layered tables for analytics, reporting, and automation. Document pipelines and business rules, resolve data quality issues, support production delivery, and collaborate with stakeholders and senior engineers. The role also involves adapting to new tools and business areas while supporting a federal government client.

Designs, develops, validates, implements, and supports complex data, reporting, database, application, and automation solutions. Performs business and technical analysis, creates SQL and ETL solutions, develops reports and APIs, validates claims and audit data, resolves production issues, and ensures regulatory and control compliance. Leads technical initiatives, manages project risks and milestones, supports system testing and deployment, and guides other analysts.

Builds and maintains data pipelines and datasets supporting analytics, AI, and modeling. Responsibilities include ingesting healthcare claims and lab data into Snowflake and AWS Iceberg, processing structured and unstructured sources, curating data for AI use cases, implementing medallion architectures, evaluating data quality, and contributing to pilot initiatives using SQL, Python, AWS Glue, Terraform, and Snowflake.

Partners with business leaders to analyze performance metrics, funding, compliance, enrollment, and retention data. Builds scalable analytical models, datasets, reports, dashboards, and forecasting tools using Python and SQL. Translates complex business rules into structured calculations, validates analytical outputs, identifies trends and risks, and delivers actionable insights supporting strategic, financial, and operational decisions.

Build and operate trusted finance data products, pipelines, models, reconciliations, dashboards, and automation. Partner with Finance, Accounting, Data Engineering, Product, and Platform teams to resolve data issues, improve reporting, support financial close, establish data lake quality controls, and enable timely insights. Use SQL, Python, dbt, Spark, Airflow, and AI-assisted tools to deliver tested, traceable, production-ready solutions.

Collects and analyzes data from project, financial, maintenance, and field systems; builds KPI dashboards and recurring reports; identifies trends, risks, and opportunities; supports budgeting and forecasting; validates data with project and operations teams; and communicates actionable insights to leadership while improving reporting processes.

Assess legacy on-premises infrastructure and design a cloud-native data architecture for AccuWeather For Business. Create current- and target-state designs, modernization roadmaps, sequencing plans, technical specifications, and risk mitigations. Partner with engineering and data teams to implement scalable, secure, resilient backend data systems while maintaining reliable enterprise data delivery. Contribute hands-on code, data models, schemas, capacity estimates, cost analysis, and architecture decisions.

Conducts competitive intelligence research and analysis across companies, industries, technologies, markets, and competitors. Delivers actionable insights supporting business development, growth, client retention, and strategic decisions. Monitors trends and key clients, tracks research requests, improves CI processes, supports research-tool implementation, and evaluates legal technologies. Requires strong analytical, written communication, organizational, and collaboration skills, plus proficiency with Microsoft Office and research platforms.

Teaches online undergraduate and graduate data analytics courses, develops syllabi and lesson plans, prepares course materials, facilitates discussions, evaluates student work, provides feedback, and integrates responsible AI practices. The role requires maintaining course alignment with institutional objectives, supporting diverse learners, participating in faculty training, and applying current analytics methods, tools, and ethical data practices.