Top Data & Analytics Jobs

The Data Engineering Intern will support the development and maintenance of data pipelines, write and troubleshoot SQL queries, resolve data quality issues, automate processes, test data solutions, and document systems. The role collaborates with data engineers, analysts, and business stakeholders while gaining exposure to databases, orchestration tools, APIs, industrial data systems, and enterprise technologies. This is an on-site internship in Sioux Falls, South Dakota.

Analyzes structured and unstructured data to support USSOCOM decision-making. Develops dashboards, visualizations, reports, data models, and workflows; writes queries and scripts; performs data quality checks; documents data processes; and collaborates with database administrators, engineers, and mission stakeholders. The role also supports operational planning, mission readiness assessments, cybersecurity and data governance compliance, stakeholder presentations, and mentoring junior analysts.

Leads architecture, development, and optimization of enterprise data platforms using Microsoft Fabric and Azure. Designs Lakehouse, OneLake, Spark, SQL, ETL/ELT, data models, and reporting solutions. Collaborates with business, IT, and vendors; supports compliance, documentation, SDLC, change management, and DevOps practices. Provides technical expertise and contributes to AI, Copilot, advanced analytics, and cloud-native data initiatives.

Provide frontline production support for Oracle, Sybase ASE, and AWS data systems in DoD and GovCloud environments. Monitor databases and pipelines, investigate alerts and tickets, resolve routine incidents, perform backups, patching, access provisioning, and health checks, and escalate complex issues. Troubleshoot applications, authentication, login, and basic NGINX issues while maintaining runbooks and incident documentation. The role requires rotating 24/7 support, including nights, weekends, and holidays.

Provides analytical and administrative support for IT infrastructure programs, including incident and network performance analysis, feasibility studies, technical reporting, help desk operations, call accounting, billing administration, and Media Center metrics and maintenance reporting.

Leads institutional research, strategic data initiatives, analytics, data governance, institutional reporting, IPEDS and external compliance submissions. Oversees dashboards, forecasting, data warehouses, automation pipelines, system integrations, census reporting, and data quality. Advises executive leadership and campus stakeholders, presents insights to the Board, manages the institutional research budget and staff, and supports accreditation, planning, enrollment, finance, and continuous improvement.

Own the architecture, roadmap, and operation of Clarium’s AWS-based data platform. Build reliable batch and near-real-time pipelines, model healthcare supply chain data, optimize Postgres and Snowflake performance, and establish standards for testing, deployment, quality, and governance. Partner cross-functionally to create durable data models, lead multi-quarter initiatives, manage sensitive data controls, and mentor engineers.

Execute ETL workflows supporting large-scale migration from legacy systems to cloud environments. Extract, transform, cleanse, validate, and load structured and unstructured data; monitor pipelines; troubleshoot defects; and support automation, quality controls, staging, testing, and cutover operations. Maintain data maps, logs, procedures, and technical documentation while collaborating with data, cloud, QA, and product teams in a federal modernization program.

Leads and mentors the Data Engineering team while remaining hands-on in designing, building, and maintaining scalable data pipelines, warehouses, integrations, and infrastructure. Establishes architecture, reliability, quality, and performance standards; guides technical delivery; and resolves complex issues. Partners with Finance and business stakeholders to translate data needs into practical solutions, sets technical direction, evaluates technologies, and communicates strategy, risks, and recommendations to leadership.

Leads enterprise data and analytics transformation, including Snowflake platform strategy, reporting modernization, AI-enabled automation, data governance, predictive analytics, and executive insights. Builds and manages analytics teams, oversees enterprise data warehouse development, establishes responsible AI controls, manages budgets and vendors, and partners with senior leadership to improve business performance, credit outcomes, and customer results.