Data Engineer

CaptivateIQ is a leading sales commission platform — recognized by industry analysts, including Forrester, as well as reputable marketplaces like G2. We are trusted by category leaders and innovators like Gong, Lattice, and DataRobot.With backing from Sequoia, Accel, ICONIQ, and other leading investors, CaptivateIQ is on a mission to enable every company to take control of commission management.Come and see why Glassdoor and Comparably have recognized CaptivateIQ as a best place to work!About The RoleBehind every great software company is the team building it. We are an engineering team of multicultural, highly collaborative, fully distributed, humble learners. We pride ourselves on building best-in-class products powered by innovative technologies.You will be a crucial member of our Customer Data Engineering (CDE) team. The CDE team’s mission is to empowering customers to unlock the full potential of CaptivateIQ’s products by building and managing their custom data integrations. As an engineer on the CDE team, you’ll have the ability to make a significant impact on the the success of our customer’s product implementations.ResponsibilitiesDesign and implement customer data integrations using IPaaS platforms like Workato, Boomi, or MuleSoftWrite and optimize advanced SQL (Snowflake) — including DDL, DML, CTEs, UDFs, and JSON transformations — to power analytics and automationBuild and maintain software for orchestration of customer data integrations utilizing web APIs and IPaaS connectors to seamlessly exchange data between CaptivateIQ and our customersEnsure customer integrations are secure, testable, fault-tolerant, and designed for long-term maintainabilityCollaborate with Sales Engineering and Product during discovery and scoping to advise on technical feasibility and data architecture approachesBuild relationships with product engineering to ensure scalability and management of our customer data integrations as customer usage growsTranslate customer business needs into the technical requirements and solutionRequirementsA strong (4+ years of experience) background in software and/or data engineeringProven experience working with data pipelines at scale and knowledge of data engineering technologies, such as SnowflakeStrong proficiency in Python and SQL proficiencyCollaborative, humble, a learner with a strong growth mindsetNice to haveYou’ve previously operated in a customer facing roleExperience configuring and troubleshooting SSO (SAML, OIDC) and SCIM provisioning across Okta, Entra (Azure AD), and OneLogin environmentsHands-on experience with setting up modern data stacks (ETL, data warehouses, DBT, reverse ETL)Notice to Prospective CandidatesOnly emails from @captivateiq.com should be trustedWe are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc. Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technologyAsk candidates to cash checks to buy equipment on behalf of CaptivateIQAsk candidates to make a payment in order to be considered for a positionMake early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etcPlease note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is madeCaptivateIQ works with a third-party Employer of Record to handle compliance, payroll, and as applicable benefits on our behalfParticipate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptimeCaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United StatesWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.