Full-Stack Engineer Remote Full Time Experienced Compensation $115-145K base. Plus equity in our company! Location Remote eligible but ideally candidates are based in ET or CT time zones and can fly directly to Washington, DC. Our team and office is in Bethesda, MD and we work in person every Monday, Tuesday, and Thursday so even better if you are in the DC area or are willing to relocate to be with us. If you're remote, you will need to fly to DC approximately every month to work with our team in person. About Keep Company Keep Company is on a mission to make human connection an intentional, scalable asset in every workplace. As a venture-backed SaaS platform recognized by Techstars, Forbes, and SHRM, our patented talent platform delivers transformative relationship-based development experiences at leading professional services organizations. With our platform, talent leaders can launch, scale and measure innovative programs, including mentoring, coaching and ERGs, with little admin burden and maximum impact. We’re proud to support 20+ clients in professional services - with zero churn and multiple six-figure contracts. At a time when artificial intelligence is rapidly reshaping how we work, Keep Company is rebuilding the human layer of work, because we believe people are the most important asset that organizations can invest in to strengthen culture, retention, and performance in the moments that matter most. The Opportunity We're hiring a full-stack Software Engineer to ship features, fix bugs, and grow into a senior IC on our team. You'll work directly with our Lead Engineer and our VP, Product. You'll write production code every day, own end-to-end delivery on real client features, and pair with senior engineers on the harder work. You'll join a small team at a real inflection point: enterprise pilots running with named law firm clients, an AI-native engineering culture in active development, and a platform foundation being rebuilt from the data layer up. This role is for someone who wants to be in the middle of that — shipping, learning, leveling up — not someone who wants to coast on what they already know. We're leveling this role to the candidate. ~3-5 years of professional experience is the target, and we'll go up or down for the right person. What You'll Own - Ship features end-to-end, frontend to backend — clean code, good tests, peer-reviewed PRs. - Own bug-fix work across the platform. Help us reduce defect escape rate quarter over quarter and build the muscle memory of catching issues before they ship. - Build the testing and tooling foundation of the team — Playwright suites, CI checks, the small tooling that compounds. We just stood up automated end-to-end testing; you'll be a key contributor to making it part of how we work. - Pair with the Lead Engineer on harder architectural decisions and learn the stack at depth. - Contribute to code review and raise the team's bar through your own work. Required Experience - ~5 years of professional software engineering experience, ideally at a B2B SaaS company. Less experience with the right signal is welcome too. - Strong in our full-stack — TypeScript, React, Node — or able to demonstrate quick fluency in equivalent stacks. We don't expect a 1:1 match; we expect that you can ramp. - You write tests as part of writing code, not as an afterthought. - You can talk us through your most recent meaningful piece of code in detail — what you built, what was tricky, what you'd do differently now. - You use AI tooling daily — Cursor, Claude, Copilot, or equivalent — and have a point of view on what they're good for, where they fail, and how you verify output. - You ask questions when you're stuck and flag risks early rather than working around them. - You close loops. When you own something, the next step is clear without anyone chasing you. Nice to Have - Experience working in a small team where contractors and FTEs ship side by side. - Exposure to multi-tenant SaaS, identity systems (WorkOS, Okta), or HRIS integrations (Workday, UKG). - Experience in HR tech, legal tech, or future-of-work environments. - Open-source contributions, side projects, or any signal that you build things outside of work assignments. How You Work - You're a generous reviewer and a strong pair partner. - You take ownership of quality — not just your code, but the user experience your code creates. - You're hungry to learn but not afraid to push back when you disagree. - You communicate directly — you ask the question rather than work around it. - You have current code commits you're proud of, and you can talk us through them. Why Keep Company - A real inflection point — visible impact from day one, on a platform serving named enterprise clients. - A genuine AI-native engineering culture, not a retrofitted one. - Mentorship from a Principal-level Lead Engineer in a small, ship-focused team. - A team that pairs, reviews, and ships together. - Competitive salary, meaningful equity, medical/dental/vision, 401k, and flexible PTO. - A mission-driven team building something we care about. About Our Stack Next.js application (React, TypeScript) with Aurora PostgreSQL on AWS. If you're energized by our mission but don't meet every listed qualification, we'd still love for you to apply.

• Partner with Account Directors and Customer Engineers to qualify Professional Services opportunities and distinguish transformation gaps from tooling gaps. • Lead scoping conversations with customer stakeholders, define the problem, validate appetite, design engagement structures, and author Statements of Work that are commercially sound and delivery-ready. • Design and build technical solutions that extend Pendo’s capabilities and integrate with customer systems. • Own multiple complex technical projects end-to-end, including data engineering and system integration work. • Advise customers on data architecture, integration patterns, and long-term technical strategy. • Build reusable code libraries and frameworks that scale across the Professional Services team. • Identify patterns across engagements and turn them into reusable playbooks and documentation.

• Develop and maintain data pipelines in PySpark, ensuring high performance, scalability, and reliability. • Design and implement data ingestion, transformation, and provisioning solutions in AWS (S3, Glue, Athena, EMR). • Orchestrate data workflows using Apache Airflow, ensuring scheduling, monitoring, and failure recovery. • Model and optimize SQL queries for large data volumes, applying best practices for partitioning and column pruning. • Implement and maintain CI/CD pipelines for automated deployment of pipelines, scripts, and DAGs. • Collaborate with analytics, data science, and business teams to ensure timely delivery of reliable data. • Contribute to the continuous improvement of pipelines. • Develop solutions in Databricks for distributed processing and exploratory analysis. • Actively participate in agile ceremonies, such as planning, daily stand-ups, and retrospectives.

Lead Data Engineer, Data Engineering & Analytics Location: India Department: IT About Company: Rapid7 is seeking a Data Engineer, Data Engineering & Analytics to join a high-performing data engineering and reporting team. This role is responsible for participating in the management of a robust Snowflake infrastructure, data modeling in a modern tech stack, and optimizing the company's Tableau reporting suite, ensuring that all business units have access to timely, accurate, and actionable data. This is a critical position that will help to develop and maintain the data strategy, architecture, and analytics capabilities at Rapid7, driving insights that enable business growth. The ideal candidate will have experience in data engineering, analytics, and business intelligence, with equal amounts of business and technical acumen. About Role: - Implement data modeling best practices to enhance data accessibility and reporting capabilities. - Ensure data integrity, security, and compliance with industry standards and regulations. - Document plans and results in user-stories, issues, PRs, the team's handbook - following the tradition of documentation first! - Implement the Corp Data philosophy in everything you do. - Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. - Collaborate with IT and DevOps teams to optimize cloud infrastructure and data governance policies. - Manage and enhance the existing Tableau reporting suite, ensuring self-service analytics and actionable insights for stakeholders. - Design, develop, and extend DBT code repository to extend the Enterprise Dimensional Warehouse capabilities and infrastructure - Develop and maintain a single source of truth for business metrics, ensuring consistency across reporting platforms. - Approve data model changes as a Data Team Reviewer and code owner for specific database and data model schemas. - Provide data modeling expertise to all Rapid7 teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and in Tableau. - Research and implement emerging trends in data analytics, visualization, and engineering, bringing innovative solutions to the organization. - Align to data governance frameworks, policies, and best practices, in collaboration with existing teams, policies, and governance frameworks. - Identify and lead opportunities for new data initiatives, ensuring Rapid7 remains data-driven and insights-powered. What You Bring to the Role - Ability to thrive in a fast-paced hybrid organization. - Comfort working in a highly agile, intensely iterative environment. - Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations. - 8+ years of experience in data engineering, analytics, or business intelligence. - 8+ years experience designing, implementing, operating, and extending enterprise dimensional data models. - 3+ years experience building reports and dashboards in Tableau and/or other similar data visualization tools. - Experience in DBT modeling and understanding modular, performant models. - Solid understanding of Snowflake, SQL, and data warehouse management. - Understanding of ETL/ELT processes, data pipelines, and cloud-based data architectures. - Familiarity with modern data stacks (DBT, Airflow, Fivetran, Matillion, or similar tools). - Hands-on experience building and operating cloud infrastructure on AWS. - Experience managing software installations, upgrades, and configuration in production environments. - Ability to manage data governance, security, and compliance requirements (SOC 2, GDPR, etc.). - A passion for continuous learning, innovation, and leveraging data for business impact. About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.