Rocket Mortgage

DevOps Engineer

• Set up and manage cloud infrastructure and deployment pipelines
• Deploy containerized applications to Azure Kubernetes Service (AKS)
• Configure CI/CD pipelines, environments, and secrets
• Partner closely with a Product Development Intern to deliver working software
• Use AI tools to accelerate infrastructure-as-code, testing, and deployment

DevOps Platform Intern – Summer 2026

Marketing

• Partner directly with the AVP of Marketing to define project priorities and identify key questions the AI platform should help answer
• Assist in the production of marketing deliverables leveraging the insights to include social posts, reports, and presentations
• Document workflows and best practices so the team can sustain and scale the AI process beyond the internship
• Deliver reports, analyze metrics and summarize information to help drive our team forward
• Learn about our business by attending meetings, huddles and trainings

Marketing Intern – Summer 2026

Communications

• Ensure product quality, user experience, and professional stakeholder communication across each five-day sprint cycle
• Develop testing strategies from requirements
• Execute user experience and accessibility validation
• Conduct security reviews of application code and infrastructure configurations
• Create stakeholder-facing demo materials and documentation

Quality and Communication Intern

Data Scientist

• Learn about our business by attending meetings, huddles, and training.
• Share creative ideas that will help improve our business.
• Deliver reports, analyze metrics, and summarize information to help drive our team forward.
• Assist in creating materials and/or presentations for meetings.
• Take notes during meetings and provide recaps.
• Collaborate with data scientists and data engineers to build, evaluate, and refine AI and machine learning models, with a focus on large language model (LLM) applications and retrieval-augmented generation (RAG) pipelines.
• Assist in designing and implementing data preprocessing, feature engineering, and model evaluation workflows.
• Write clean, well-documented code in Python (or other relevant programming languages) to support data analysis, model prototyping, and automation tasks.
• Leverage AI-powered coding and productivity tools (e.g., Claude Code, GitHub Copilot) to accelerate development and maintain code quality.
• Partner with internal clients and business stakeholders to understand requirements, translate business questions into analytical frameworks, and communicate findings clearly.
• Perform exploratory data analysis and apply statistical methods to extract insights from structured and unstructured data sources.
• Query and manipulate data from relational databases and other data stores to support analysis and model development.

Data Science Intern

Data Analyst

• Migrate existing Tableau dashboards and SQL Server Reporting Services (SSRS) reports into Power BI.
• Build, test, and deploy data pipelines within Microsoft Fabric.
• Leverage AI-powered analytics tools to help internal business clients distill insights from complex datasets.

Data Analyst, Engineer Intern

• Assist in the collection, organization, and cleaning of data from various sources
• Perform data analysis using tools such as SQL, Excel, and data visualization software
• Develop and maintain dashboards and reports to present insights to stakeholders
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Participate in data-related projects and initiatives, contributing to the development of data-driven strategies
• Identify trends, patterns, and anomalies in data to support decision-making processes
• Continuously learn and stay up-to-date with the latest data analysis techniques and technologies

Data Analyst Intern – Summer 2026

• Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization
• Present complex analytical findings and strategic recommendations to senior leadership, tailoring messaging to drive clarity, alignment, and action
• Drive executive alignment by translating ambiguous business challenges into structured analytical insights and recommendations
• Lead design and validation for all phases of research projects, including presentation of results, guiding iterative improvement
• Maintain relationships and alignment among stakeholders to meet objectives
• Create and support business intelligence tools, databases, dashboards, reports or methods
• Document technical design standards for reporting solutions to ensure their accurate development
• Identify, document, and use exploratory data analysis to investigate assumptions
• Stay informed of industry or business trends that pertain to data

Senior Data Analyst – People Analytics

Product Marketing

• Develop and execute comprehensive product marketing strategies that align with business objectives, market conditions, and customer needs across refinance, purchase, and home equity portfolios, with a primary focus on recapture and retention of existing customers.
• Partner with Segments to target priority recapture cohorts including previous customers, high-net-worth clients, and customers at equity milestones, leveraging data-driven insights to maximize relevance and conversion.
• Define product positioning, value propositions, and "Why Us?" messaging informed by customer insights, competitive dynamics, and macro trends that differentiate our market presence and re-engagement strategy.
• Identify and champion marketable features that solve client needs and create competitive differentiation across customer segments and product lines to drive recapture campaigns.
• Lead go-to-market planning and execution for product launches, enhancements, and retention initiatives with cross-functional alignment and accountability for outcomes in recapture portfolios.
• Act as the internal client for Creative, delivering clear strategic briefs that translate complex financial products into human-centric stories and orchestrating Segments, Creative, Direct, and Digital Channel teams for cohesive lifecycle execution targeting recapture audiences.
• Own product-level KPIs including conversion, volume, and creative response rates, using advanced analytics to monitor funnel health, diagnose leakage points, and identify optimization opportunities that drive revenue growth from recapture initiatives.