• Build and maintain ELT pipelines using Fivetran and custom API integrations via Dagster, including setting up new source connectors and troubleshooting. • Manage and improve Dagster orchestration — scheduling jobs, debugging failures, and keeping pipeline runtime tight. • Maintain and improve GitHub Actions CI/CD workflows to ensure safe, reliable deployment of dbt models into production. • Manage and maintain Snowflake infrastructure via Terraform — warehouses, roles, permissions, and resource monitors. • Write dbt models across staging, intermediate, and mart layers — clean, well-tested, and documented so the whole team can trust them. • Identify and address data quality issues before they become problems for the people depending on the data. • Handle ad-hoc analytics requests from stakeholders across the business — translate a business question into a query, turn a query into an insight. • Contribute to recurring deliverables: monthly growth reports, provider audits, forecasting documents, and ongoing Looker maintenance.

• Your first day will start with a warm welcome and technical onboarding! • Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies. • Within 60 days, you will deliver impact on a company level with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products. • Within 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts. • After 90 days, you will deliver impact by developing the roadmap for continuously and iteratively launching high-impact, high-performance, scalable source of truth data marts and data products, and by leading and delivering cross-functional product and technical initiatives. • Be a technical paragon and cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating your squad, and designing solutions to ambiguous business challenges, in a fast-paced early-stage environment. • Drive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices. • Champion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company. • Provide technical leadership and mentorship, fostering a culture of continuous learning and growth.

Role Description We are seeking a motivated, detail-oriented Data Research Intern to support ongoing research and evaluation projects on vocational education and training programs and their components, including admissions and in-course learner behaviors. This role is ideal for an advanced undergraduate student or a graduate student interested in gaining hands-on experience with data collection, analysis, literature reviews, and report writing in non-traditional educational spaces. - Projects include (but are not limited to): evaluation of a new instructor's in-course dashboard, social support service impact on learner success, and exploration of learner admission trends. - Review literature related to workforce development programs or vocational education training programs. - Assist with qualitative and quantitative data collection (e.g., surveys, interviews, focus groups). - Clean, code, and analyze datasets using Excel, R, or similar software. - Support the preparation of reports, presentations, and other dissemination materials. - Maintain accurate records of research activities. - Attend project meetings and contribute to discussions and planning. - Perform administrative tasks related to research as needed. Qualifications - Current 3rd or 4th year undergraduate or graduate student in a relevant field (e.g., social sciences, education, psychology). - Strong organizational and time-management skills. - Excellent written and verbal communication. - Has completed an introductory course in research methods. - Proficiency with Google Office products (Google Sheets, Google Docs, etc.) and Microsoft Excel. - Experience with literature databases (e.g., JSTOR, PubMed, Google Scholar). - Ability to work independently and as part of a team. - Attention to detail and a commitment to producing high-quality work. Requirements - Experience with statistical software such as R is a plus. - Interest in adult education, education policy, or workforce development. Benefits - Over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time. - Comprehensive medical coverage with multiple plans through Cigna or Kaiser Permanente. - Dental and vision insurance options available. - 401(k) plan with a current 100% employer match on contributions up to 6%. - Free, confidential Employee Assistance Program (EAP) access. - Up to 6 weeks of 100% paid parental leave. - Access to employer-paid life and AD&D Insurance, short-term disability coverage, and flexible spending accounts. - Voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance.

• Design and implement scalable, secure, and cost-effective cloud-based data solutions • Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes • Ensure data quality and validation processes to maintain data accuracy and integrity • Ensure efficient data storage and retrieval for optimal performance • Collaborate closely with data teams, product owners, and other stakeholders • Create & lead a team of data engineers to ensure timely deliverables fulfilling all data engineering guidelines & standards