• Participate in all aspects of the software and data product development lifecycle from user story generation, through design, development, automated testing and operational support • Improve quality by actively participating in code-reviews and adhering to team quality standards • Work alongside other engineers on the team to elevate technology and consistently apply best practices • Own the execution of medium-to-large sized features with higher-level technical support • Describe and document the details of your work fluidly and accurately for technical peers and non-technical stakeholders • Think holistically about the application and build with an eye towards long term maintainability and efficiency • Collaboratively provide estimates and other input to the client, project managers designers, or others about features to help determine their feasibility, complexity, cost, and priority level • Contribute to a culture of positivity, curiosity, and respect for all individuals

• Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment. • Set clear goals, assign tasks, and manage resources to ensure successful project delivery. • Work closely with developers to support them and improve data engineering processes. • Support team members with troubleshooting and resolving complex technical issues and challenges. • Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies. • Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards. • Collaborate with stakeholders to understand project requirements, define scope, and create project plans. • Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards. • Monitor progress, identify risks, and implement mitigation strategies. • Act as a trusted advisor for the customer. • Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders. • Ensure data solutions are scalable, efficient, and aligned with business requirements. • Provide guidance in areas such as data modeling, database design, and data integration. • Align coding standards, conduct code reviews to ensure proper code quality level. • Identify and introduce quality assurance processes for data pipelines and workflows. • Optimize data processing and storage for performance, efficiency and cost savings. • Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards). • Act as main point of contact to other teams/contributors engaged in the project. • Maintain technical documentation of the project, control validity and perform regular reviews of it. • Ensure compliance with security standards and regulations.

Kin is redesigning insurance to be smarter, faster, and centered on the customer. We use intelligent pricing, offer seamless bundling, and make every step (from purchasing, servicing to claims) simple and friction-free, especially in the places traditional insurers often ignore. We empower people to protect what matters most, starting with their homes and expanding to all they value, in a world where climate risks, rising costs, and outdated systems leave too many behind. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to: Built In Chicago's Best Places to Work, Midsize Companies (2021-2025). Forbes' America's Best Startup Employers (2021- 2024, Ranked #37 in 2024). Inc. 5000 Fastest-Growing Private Companies. Forbes’ Fintech 50. Simply put, our people are what make us great – we need forward-thinking, inspired game-changers like you to join us in our mission. So What’s the Role? As a Senior Data Engineer, you will play a pivotal role in ensuring the quality, integrity, and security of Kin’s data assets. You’ll be responsible for building out a data lakehouse for enterprise reporting, which will involve the design and development of production-ready data pipelines, modeling raw data for downstream reporting, and quality assurance of the data warehouse. What You’ll Do You’ll work on a cross-functional project team with members from AppEng, DataEng, BI, and Kin’s business   to design solutions  for effective reporting. You’ll implement data validation standards and QA procedures to ensure effective data lifecycle and management practices.  This involves: Designing and developing scalable data pipelines and models for downstream analytics and reporting Leading and collaborating with a cross-functional project team to implement data validation, QA standards, and effective data lifecycle management Optimizing pipeline performance, cost, and data quality in a large-scale data environment Migrating data warehouse (DBT, Redshift) architecture to Lakehouse (e.g: S3, Glue, Databricks, Unity catalog) architecture Mentoring data engineers and promoting best practices in software engineering, documentation, and metadata management Ensuring data security and compliance with regulations (e.g., GDPR, CCPA, GLBA) through robust pipeline design and access monitoring Translating ambiguous business requirements into technical solutions using marketing domain knowledge In addition to these benefits, we also are excited to offer the following: Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level. 401K with company match of up to 4% of eligible earnings Flexible PTO for exempt employees (employees typically take 15-20 days annually), along with 8 company-observed holidays A paid parental leave program that provides 100% salary continuation of up to 14 weeks for birthing parents and 8 weeks for non birthing parents Continuing education and professional development opportunities For Sales Agents and Customer Service Agents: These roles sit in any of the following 30 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI. For remote technical positions located in Canada, we are only able to hire individuals who reside in Ontario. Applicants must be able to live and work full-time in Ontario to be considered. For all other positions, these roles can sit in any of the following 40 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. About Kin Kin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders. To learn more, visit www.kin.com . EEOC Statement Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to careers@kin.com

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About the Role We are seeking a Senior Quant Data Engineer to join our Data Engineering team , supporting our initiative to build and deliver systematic, data-driven products designed for quantitative investment firms. This is a high-impact role at the intersection of engineering, quantitative research, and data productization . You will report to the Head of Data Engineering and partner closely with our Quant Research and Product teams to design, build, and scale robust data pipelines that feed quantitative models and data products used by some of the world’s most sophisticated investors. The ideal candidate has deep experience with large-scale data systems, quantitative data processing, and the rigor required to meet the expectations of institutional quant clients. This is a senior, hands-on engineering role with the opportunity to shape the foundation of YipitData’s quantitative product strategy. What You’ll Do: Design, build, and operate scalable, efficient data pipelines that integrate and standardize internal and third-party alternative/financial data into analysis-ready formats to support systematic investment research. Partner with Quant Research, Data Infrastructure, Product, and Revenue to align pipelines, model/data requirements, and client SLAs. at a financial firm, data provider, or technology company. Strong communicator with experience working with both internal and external stakeholders. Proven track record building and maintaining large-scale ETL pipelines using Python and distributed data technologies (e.g., Spark, Airflow, Snowflake, Databricks). Experience working with financial, alternative, or time-series data used in quantitative investment workflows. Strong understanding of data modeling , schema design , and metadata management . Familiarity with cloud-based data infrastructure (AWS preferred). Experience with data delivery systems such as S3 feeds, APIs, or data sharing platforms such as Snowflake Share or Delta Sharing. Deep curiosity about financial markets and a passion for data-driven investing . Strong communication skills and a collaborative mindset, with the ability to translate between technical and research stakeholders. A passion for data reliability, reproducibility, and performance. What We Offer: Our compensation package includes comprehensive benefits, perks, equity, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by your impact, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. The annual compensation for this position is anticipated to be $250,000 base salary. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are NOT able to consider candidates who currently or in the future will require visa sponsorship . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. Job Applicant Privacy Notice