Top Data & Analytics Jobs

Leads the Health Fund’s Data Engineering Team and oversees enterprise data warehouses, pipelines, integrations, governance, testing, and data quality initiatives. Provides technical leadership, manages staff, translates business requirements into scalable solutions, and partners with business, technology, QA, infrastructure, and external vendors. Ensures data platforms meet performance, reliability, privacy, security, regulatory, and operational requirements while developing data strategy, architecture, documentation, standards, and best practices.

Develop and optimize Oracle Fusion Data Intelligence analytics, reporting, semantic models, data integrations, and augmentation solutions. The role supports Oracle ERP, HCM, and SCM data, including OTBI, BI Publisher, ODI, ETL, SQL, and PL/SQL development. Responsibilities include requirements gathering, data cleansing and validation, cross-functional collaboration, and contributing to an ERP analytics roadmap. This is an onsite role in Des Moines, Las Vegas, or Portland, with an initial 3–4 month W2 engagement.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

Designs and implements data architecture solutions, including data models, data flows, dictionaries, warehouses, and data lakes. Integrates data from multiple sources, ensures quality, integrity, and security, troubleshoots architecture and ETL issues, reviews technical configurations, and guides development teams. Collaborates with stakeholders, stays current on data management practices, and mentors junior staff supporting government programs.

Lead live DeFi education sessions, support approximately 400 students per six months, explain complex crypto concepts simply, research crypto projects, write DeFi articles, create video content, and conduct trading, technical, and on-chain analysis to evaluate investments and identify opportunities.

Support design, development, and maintenance of data pipelines and infrastructure. Assist with ETL/ELT workflows, data ingestion, cleaning, validation, modeling, and warehousing. Document processes and collaborate with data teams to support analytics use cases.

Develop and maintain software, data pipelines, ETL workflows, automation, and databases supporting SAPRO's mission. Use R, SQL, Python, and Databricks for data extraction, transformation, manipulation, and analytical workflows. Troubleshoot and optimize pipelines, enhance software, define technical requirements, and collaborate with technical and non-technical stakeholders. The role requires at least three years of data engineering experience and an active Secret clearance.

Build and modernize metadata-driven ETL/ELT pipelines in Microsoft Fabric using Python, PySpark, and medallion architecture. Develop scalable Bronze, Silver, and Gold layers, implement validation and quality controls, optimize parallel processing, and support migration from legacy ETL platforms. Document architecture, create operational runbooks, troubleshoot pipelines, and transfer technical knowledge to the existing data-engineering team while collaborating with reporting, governance, and platform stakeholders.

Supports commercial analytics through data mining, data management, client segmentation, reporting, spreadsheet organization, and data visualization. Uses Tableau, Excel, and Salesforce to generate insights and support commercial decision-making. The intern also assists with contract and business-information review, recurring data processes, ad hoc projects, and collaboration with internal and external stakeholders.

Develops business intelligence solutions through quantitative analysis, financial modeling, data governance, and dashboard development. Partners with global stakeholders to define KPIs, manage project milestones, and deliver actionable insights to executive leadership. Builds and maintains Tableau dashboards, complex SQL queries, automated ETL workflows, and reporting solutions. Uses Python, Alteryx, and SQL to improve reporting efficiency and incorporates AI and machine learning outputs for forecasting and anomaly detection.