Kickstart your career and gain meaningful, hands‑on experience as part of SEI’s paid summer internship program! Strategic Education Inc. (SEI) is a mission‑driven education organization dedicated to enabling economic mobility for working adult learners through innovative, career‑relevant learning pathways. SEI creates flexible, workforce‑aligned learning experiences across a global portfolio of institutions and platforms, including Strayer University, Capella University, Sophia Learning, Workforce Edge, and more. As an intern within our Information Technology (IT) department, you’ll work full‑time alongside experienced engineers and project teams, contributing to real initiatives that support SEI’s mission and business goals. You’ll join a collaborative scrum team involved in designing, developing, testing, deploying, and supporting mission‑critical applications. This internship offers the opportunity to learn modern technologies, strengthen your technical skills, and experience a supportive, fast‑paced engineering environment built on teamwork, curiosity, and hands‑on learning. Responsibilities In this role, you’ll support a variety of technical tasks within the IT organization. Your responsibilities may include: - Preparing technical requirements and documentation - Writing, testing, and documenting code - Troubleshooting and debugging technical issues - Assisting with QA and application support - Helping develop technical and user support documentation Depending on the work assigned to you: - You may be writing Python and SQL to explore, ingest, transform, and extract data - You could be participating in DevOps workflows using tools such as Terraform and GitLab - You might be working with databases—including tables, views, stored procedures, triggers, indexes, and relational/dimensional models Qualifications Education - Junior or senior pursuing a bachelor’s degree, or a graduate student in Computer Science, Mathematics, or a related field Experience & Skills - Strong team‑oriented mindset - Creative and proactive problem‑solving skills - Self‑starter who asks questions and seeks clarity - Strong attention to detail and organizational skills - Clear written and verbal communication - Experience connecting to data sources, including external APIs - Basic understanding of cloud concepts (Azure, AWS, or GCP preferred) - Familiarity with development methodologies such as Agile, Waterfall, DevSecOps, and version control SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable. Careers - Our Benefits, Strategic Education, Inc SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below. $19.50 - $29.75 - Hourly If you require a reasonable accommodation to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.

Senior Data Engineer About the Role We're looking for a Sr. Data Engineer to shape the future of our data platform. You'll architect scalable systems, set technical direction, and build the frameworks that enable our data organization to operate at scale. This is a high-leverage role where your work multiplies the effectiveness of the entire team. What You'll Do Platform Architecture & Strategy - Own the technical roadmap for our data platform, making architectural decisions that balance scalability, cost, and maintainability - Evaluate and champion new technologies and tools, leading adoption across the organization - Design systems for terabyte-scale data processing with a focus on performance and cost optimization - Establish data engineering standards, patterns, and best practices that elevate team quality - Model infrastructure costs and drive efficiency initiatives across Snowflake and cloud platforms Advanced Technical Work - Design and build scalable infrastructure for AI/ML workloads, including model training pipelines, feature engineering systems, and AI agent platforms - Build reusable frameworks and internal platforms that abstract complexity for other engineers - Design complex data models for critical business domains, balancing normalization, performance, and usability - Architect real-time/streaming data infrastructure for low-latency use cases - Engineer solutions for large-dataset performance challenges (Snowflake clustering, micro-partitioning, query optimization) - Create sophisticated data-contract validators and schema evolution frameworks - Develop profiling and drift detection systems that ensure data quality at scale Technical Leadership - Conduct design reviews and provide architectural guidance for major initiatives - Lead incident response for critical data systems and drive blameless post-mortems - Define SLAs and reliability standards for data products - Mentor and upskill data engineers through pairing, code reviews, and technical discussions - Lead cross-functional projects with analytics, data science, and product teams Operational Excellence - Build data observability platforms with intelligent alerting and monitoring - Perform capacity planning and scalability analysis for the entire data stack - Benchmark performance across infrastructure to identify optimization opportunities - Design self-service tools that enable analytics engineers and analysts to work independently What You Bring Technical Depth - Deep expertise with modern data warehouses (Snowflake strongly preferred) including advanced optimization techniques - Strong foundations in distributed systems, data structures, and algorithms - Experience designing AI-native platform tooling - including reusable agent frameworks and MCP-integrated capabilities that enable teams to compound on shared infrastructure rather than generate ad-hoc solutions. - Production experience building high-volume data pipelines and ETL/ELT systems - Proficiency in Python/SQL and orchestration tools (Airflow, dbt, or similar) - Experience with cloud platforms (AWS/GCP) and infrastructure-as-code Strategic Thinking - Track record of making architectural decisions with long-term impact - Ability to evaluate tradeoffs between competing approaches - Experience balancing technical excellence with business pragmatism - Proven ability to drive technical strategy across an organization Leadership & Communication - History of mentoring engineers and raising team capabilities - Excellent written and verbal communication for technical and non-technical audiences - Ability to build consensus and influence without direct authority - Experience leading projects across multiple teams Bonus Points - Experience with streaming systems (Kafka, Flink, etc.) - Data mesh or domain-oriented architecture implementation - Open source contributions or technical writing - Background in analytics engineering or data modeling You'll Thrive Here If - You think in systems and frameworks, not just individual solutions - You're energized by making other engineers more effective - You balance perfectionism with pragmatic delivery - You're comfortable with ambiguity and defining your own projects - You care deeply about code quality, documentation, and operational excellence United States Base Pay Range $155,000—$193,000 USD We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. About CircleCI CircleCI is the world’s largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital. CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Role Description K2 Insurance Services, LLC is seeking a Data Engineer with a strong Azure DevOps focus to join our engineering team. This role will support the development, maintenance, and optimization of data solutions that enable business insights across the organization, while also playing an active role in owning and enhancing our Azure DevOps–based CI/CD pipelines. The ideal candidate is an eager data professional with strong SQL skills, hands‑on experience with relational databases (preferably cloud‑based), and solid, practical experience working with Azure DevOps and modern cloud engineering practices. You will work closely with data engineers, analysts, and business stakeholders to: - Design and build reliable data pipelines. - Maintain data quality. - Support analytics and reporting initiatives within the insurance domain. - Contribute to the development, maintenance, and continuous improvement of Azure DevOps–based CI/CD pipelines and deployment processes. This role will involve a mix of data engineering and Azure DevOps responsibilities, with opportunities to grow in both areas. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Engineering or a related field (or equivalent work experience). - Hands‑on experience with RDBMS platforms (cloud‑based preferred). - Strong SQL skills, including writing complex queries, joins, subqueries, CTEs, and performance‑optimized queries for relational databases. - Hands-on experience with Azure DevOps (or minimally GitHub), including building release pipelines, as well as build, test and deployment automation. - Experience working with Python in notebooks or scripts to support data engineering workflows. - Familiarity with Terraform and Infrastructure as Code (IaC) concepts, including understanding how infrastructure is defined and managed in code. - Strong communication and interpersonal skills. - Ability to work effectively in a fast-paced and collaborative environment. Requirements - Develop, optimize, and maintain complex SQL queries, views, and python-based notebooks. - Build and support ELT data pipelines from structured and unstructured data sources. - Work with Databricks to source data from relational databases to store, retrieve, and transform data efficiently. - Collaborate with analysts and stakeholders to interpret business requirements, translate them into efficient data models, and build scalable SQL logic that supports analytics, reporting, and downstream consumption. - Support production workloads, including triaging failed jobs, root-cause analysis, and implementing long‑term stability improvements. - Use Azure DevOps for source control, build and release pipelines, and CI/CD workflows. - Maintain and expand Infrastructure as Code (IaC) to support consistent, repeatable environment provisioning and configuration. - Contribute to the enhancement, optimization, and ongoing maintenance of existing CI/CD pipelines. - Support deployment and release processes across development and production environments. - Create, maintain, and update environment and release documentation, including deployment notes, pipeline changes, and release announcements. - Partner with data engineers and analysts to understand data requirements. - Document data and release pipelines, database structures, and operational processes. - Participate in agile ceremonies such as sprint planning and daily standups. - Ensure high‑quality delivery by following established engineering standards and contributing to the continuous improvement of workflows. - Contribute to knowledge sharing by updating internal documentation and code as systems evolve. - Assist with incident triage, troubleshooting, and post‑release validation under guidance from senior team members. Benefits - Competitive pay. - Bonus plan. - Medical, dental, and vision insurance. - Paid time‑off in year of hire. - 401(k) with employer match.

• Design and own scalable data solutions across Microsoft Fabric and Azure. • Work with modern analytical patterns that power real decisions. • Collaborate with team members on the implementation of data pipelines.