Top Data & Analytics Jobs

Build and operate production data pipelines that ingest, transform, validate, and deliver messy clinical data for machine learning, analytics, and clinician-facing APIs. Own data contracts, monitoring, backfills, failure recovery, and troubleshooting across systems. Collaborate with integration, ML, and product engineering teams to ensure reliable data delivery across hospital deployments.

Designs, develops, and maintains large-scale data processing systems, including ETL processes, data models, scalable pipelines, databases, data warehouses, and cloud-based big data solutions. Uses Snowflake, Fivetran, dbt, and Airflow while applying DevOps and security practices. Optimizes distributed processing and storage systems, collaborates with data scientists and analysts, and mentors junior engineers.

Leads market intelligence research, quantitative and qualitative analysis, forecasting, regulatory monitoring, visualization, and executive-level report writing. Evaluates market trends, competition, economic indicators, and policy developments to produce actionable client insights. Establishes research methodologies and quality standards while mentoring Market Analyst Writers, reviewing deliverables, and managing research priorities. Requires onsite work in Houston five days per week and collaboration with distributed technology teams.

Develop and maintain high-performance cloud-based analytics solutions processing large data volumes. The role requires expertise in data analytics, big data, distributed computing, and technologies such as Spark, MapReduce, SQL/NoSQL, and scientific Python libraries. The engineer will support mission-critical software and systems for a U.S. Government customer, working independently and collaboratively while contributing to a technical, security-focused engineering environment.

Build and operate Grassroots Carbon’s unified data platform, including AWS-based storage, production ingestion pipelines, scheduled datasets, integrations, model deployment, monitoring, security, and access controls. Migrate and reconcile historical PastureMap data while establishing lineage, shared identifiers, validation, and reproducible workflows. Partner with science, product, backend engineering, and operations teams to productionize models and deliver reliable data services supporting soil carbon modeling, grazing management, and rancher-facing products.

Staff Data Engineer responsible for defining data architecture strategy, building fault-tolerant batch and real-time streaming infrastructure, and managing scalable lakehouse and database systems. The role processes telemetry from millions of connected devices, drives performance tuning and data quality, supports on-call operations, evaluates modern technologies, and mentors engineers. It requires strong expertise in Python, SQL, cloud data platforms, streaming systems, infrastructure as code, and enterprise-scale architecture.

Lead architecture and delivery of enterprise-scale data platforms, pipelines, and MDM. Integrate agentic AI/LLM workflows, build ML-ready data foundations, set engineering standards, lead cross-team technical initiatives, and mentor senior engineers.

Develop Power BI dashboards, semantic data models, SQL extracts, and scalable reporting solutions while helping build a Microsoft Fabric analytics environment. Partner with leaders across portfolio companies to translate business needs into actionable insights, troubleshoot data quality issues, automate reporting, support integrations, and document data definitions. The role combines hands-on BI development, ad hoc analysis, stakeholder collaboration, and modernization of enterprise reporting.

Drive growth and product decisions through experimentation, statistical analysis, metrics management, data pipelines, modeling, and dashboard development. Partner with business and product teams to answer analytical questions, build ingestion and transformation workflows with dbt, and create visualizations that enable stakeholders to explore data and act on insights.

Leads the creation and scaling of Unitek Learning’s enterprise analytics organization. Defines the operating model, technology stack, analytics roadmap, governance, and reporting capabilities. Oversees campus, competitive, marketplace, and macroeconomic analytics to support forecasting and strategic decisions. Partners with Finance, Operations, and Marketing, while presenting actionable insights to executive leadership and promoting data-driven decision-making and AI adoption.