{"schemaVersion":"jobsearcher.job.v1","id":"1e2a525bada02a3f0d8aa943","url":"https://jobsearcher.com/jobs/1e2a525bada02a3f0d8aa943","canonicalUrl":"https://jobsearcher.com/jobs/1e2a525bada02a3f0d8aa943","title":"Senior Data and Software Engineer (Integrations)","description":"Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, CometTM, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit www.affinitysolutions.com to discover how we're shaping the future of consumer purchase insights.About Your Role:Affinity is seeking a highly skilled and experienced Senior Data and Software Engineer (Integrations) to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust data structures and controls for privacy features and services, enabling secure multi-party collaboration. This position requires a deep understanding of various data technologies, cloud environments, data clean rooms, and AI concepts.Your Responsibilities:Design and implement data privacy features and services to enable secure multi-party collaboration, including query constraints, data clean room construction, deployment, and monitoring at scaleUphold data governance standards and practices, ensuring compliance with data quality standardsImplement and enforce data security measures to protect sensitive data, including personally identifiable information (PII) and financial dataLeverage SQL and Python programming proficiency to extract, transform, clean, and interpret large data volumes (200BIL+ records)Design highly performant data structures to ensure optimal storage and retrieval of dataUtilize advanced database technologies to enhance data storage and processing capabilitiesParticipate in code reviews to maintain code quality and consistency; collaborate with the infrastructure team to plan and execute deploymentsLead and manage integration projects, including:LiveRamp XMI Integration and Salesforce integrationAdditional clean rooms (AWS/AMC) modeling integrationCAPI integrations with walled gardens on behalf of brandsMadConnect integration pipes and buildoutOpening new integration channels based on client demand Your Qualifications:6 or more years of experience as a back-end data/software engineer utilizing various data technologies, with proficiency in SQL, Python, and Javascript (Node.js)2 or more years of hands-on experience with Snowflake ecosystem, including expert knowledge of SnowPipes, Streams, Views, performance tuning, data modeling, ELT pipelines, data visualizations, and standard DWH concepts, and experience implementing complex SQL stored proceduresMinimum 3 years' experience with various AWS cloud technologies and data lake management, such as S3, Lambda, Airflow, Redshift, Athena, and GlueDemonstrated knowledge of data clean room technologies, such as creating secure data shares using RBAC. Knowledge of Snowflake Native apps (v6+) preferredKnowledge of all aspects of the SDLC as well as experience with Jenkins and setting up CI/CD processesExperience with security concepts such as CCPA, GDPR, SSO, and JWTProficiency in data access controls, including aggregation constraints, projection policies, row access policies, column masking, and differential privacy; knowledge of data controls including semantic models, dbt, Honeydew, Iceberg tables, various catalogs (Glue, REST, Nessie, Hadoop, etc.), and catalog syncing conceptsExperience with cloud environments such as Snowflake, AWS, Databricks, LiveRamp, and GCPFamiliarity with BI tools such as Thoughtspot, Sigma, Domo, Looker, Quicksights, and Tableau; detailed knowledge of AI concepts such as Generative AI chatbots, Cortex Analyst, agent training, LLMs, and prompt engineeringExperience in modeling: e.g., Snowpark ML, TensorFlowExpertise building and maintaining APIs; Swagger/OpenAPI spec, Node, and Next.js a plusSalary Range: $145,000 - $160,000Office hours: 9am - 5:30pm","company":"Affinity Solutions","rawCompany":"affinity solutions","city":"San Jose","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-05-23T06:54:59.853Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data and Software Engineer (Integrations)","description":"Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, CometTM, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit www.affinitysolutions.com to discover how we're shaping the future of consumer purchase insights.About Your Role:Affinity is seeking a highly skilled and experienced Senior Data and Software Engineer (Integrations) to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust data structures and controls for privacy features and services, enabling secure multi-party collaboration. This position requires a deep understanding of various data technologies, cloud environments, data clean rooms, and AI concepts.Your Responsibilities:Design and implement data privacy features and services to enable secure multi-party collaboration, including query constraints, data clean room construction, deployment, and monitoring at scaleUphold data governance standards and practices, ensuring compliance with data quality standardsImplement and enforce data security measures to protect sensitive data, including personally identifiable information (PII) and financial dataLeverage SQL and Python programming proficiency to extract, transform, clean, and interpret large data volumes (200BIL+ records)Design highly performant data structures to ensure optimal storage and retrieval of dataUtilize advanced database technologies to enhance data storage and processing capabilitiesParticipate in code reviews to maintain code quality and consistency; collaborate with the infrastructure team to plan and execute deploymentsLead and manage integration projects, including:LiveRamp XMI Integration and Salesforce integrationAdditional clean rooms (AWS/AMC) modeling integrationCAPI integrations with walled gardens on behalf of brandsMadConnect integration pipes and buildoutOpening new integration channels based on client demand Your Qualifications:6 or more years of experience as a back-end data/software engineer utilizing various data technologies, with proficiency in SQL, Python, and Javascript (Node.js)2 or more years of hands-on experience with Snowflake ecosystem, including expert knowledge of SnowPipes, Streams, Views, performance tuning, data modeling, ELT pipelines, data visualizations, and standard DWH concepts, and experience implementing complex SQL stored proceduresMinimum 3 years' experience with various AWS cloud technologies and data lake management, such as S3, Lambda, Airflow, Redshift, Athena, and GlueDemonstrated knowledge of data clean room technologies, such as creating secure data shares using RBAC. Knowledge of Snowflake Native apps (v6+) preferredKnowledge of all aspects of the SDLC as well as experience with Jenkins and setting up CI/CD processesExperience with security concepts such as CCPA, GDPR, SSO, and JWTProficiency in data access controls, including aggregation constraints, projection policies, row access policies, column masking, and differential privacy; knowledge of data controls including semantic models, dbt, Honeydew, Iceberg tables, various catalogs (Glue, REST, Nessie, Hadoop, etc.), and catalog syncing conceptsExperience with cloud environments such as Snowflake, AWS, Databricks, LiveRamp, and GCPFamiliarity with BI tools such as Thoughtspot, Sigma, Domo, Looker, Quicksights, and Tableau; detailed knowledge of AI concepts such as Generative AI chatbots, Cortex Analyst, agent training, LLMs, and prompt engineeringExperience in modeling: e.g., Snowpark ML, TensorFlowExpertise building and maintaining APIs; Swagger/OpenAPI spec, Node, and Next.js a plusSalary Range: $145,000 - $160,000Office hours: 9am - 5:30pm","datePosted":"2026-05-23T06:54:59.853Z","dateModified":"2026-05-23T06:54:59.853Z","hiringOrganization":{"@type":"Organization","name":"Affinity Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1e2a525bada02a3f0d8aa943"},"url":"https://jobsearcher.com/jobs/1e2a525bada02a3f0d8aa943"}}