{"schemaVersion":"jobsearcher.job.v1","id":"efc1409bdafe10f6550062c7","url":"https://jobsearcher.com/jobs/efc1409bdafe10f6550062c7","canonicalUrl":"https://jobsearcher.com/jobs/efc1409bdafe10f6550062c7","title":"Senior Data Engineer (Python) - Remote","description":"About Boost Boost Payment Solutions optimizes the use and acceptance of commercial cards through its suite of proprietary technology-enabled solutions. Boost has reinvented how commercial card payments are initiated, accepted, and processed for thousands of companies worldwide. As the only FinTech acquirer exclusively focused on the B2B marketplace, Boost is making commercial cards cost-effective, scalable, and secure alternative to traditional and cumbersome payment methods. Boost features a global footprint and is headquartered in New York, NY.The Senior Data Analyst will serve as the bridge between business stakeholders and the Enterprise Data team. This individual will transform data into actionable insights, define business metrics, ensure data quality, and help expand Boost's AI-ready data platform. They will work closely with Finance, Sales, Operations, Product, Customer Success, and Engineering to deliver trusted analytics, semantic models, dashboards, and data products.Business Intelligence & AnalyticsDevelop and maintain executive dashboards, reports, and scorecards using Tableau and Snowflake.Partner with Finance, Sales, Operations, Product, and Customer Success to translate business requirements into analytical solutions.Perform ad hoc analysis to identify trends, business opportunities, and operational improvements.Data Engineering & Data IntegrationDevelop and maintain SQL-based data transformation logic, views, and stored procedures within Snowflake.Support the design, testing, and maintenance of ETL/ELT data pipelines from source systems such as PostgreSQL, SQL Server, Salesforce, APIs, and Amazon S3.Validate data ingestion processes to ensure completeness, consistency, and accuracy across enterprise data platforms.Troubleshoot data pipeline issues, perform root cause analysis, and work with Data Engineers to resolve production incidents.Assist in optimizing SQL queries, data models, and reporting structures for scalability and performance.Participate in deploying data enhancements through Development, QA, Stage, and Production environments while following SDLC and change management processes.Contribute to data modeling initiatives, including dimensional models and curated reporting datasets.Data Quality & GovernanceMonitor and improve enterprise data quality by identifying anomalies, inconsistencies, and reconciliation issues.Develop data validation processes and reconciliation reports between source systems and Snowflake.Maintain business definitions, data dictionaries, metadata, and documentation for enterprise reporting assets.Collaborate with business and engineering teams to define data standards, governance policies, and reporting consistency.AI & Advanced AnalyticsSupport the development and maintenance of semantic models used by Snowflake AI and enterprise data agents.Validate AI-generated responses and improve metadata, synonyms, and business definitions to enhance accuracy.Assist in evaluating emerging AI capabilities that improve analytics, reporting, and business decision-making.Work closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver enterprise data solutions.Participate in requirements gathering, solution design, testing, and user acceptance activities.Promote best practices in analytics, data engineering, documentation, and data governance.Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field.~4–7 years of experience in data analytics, business intelligence, or analytics engineering.~ Advanced SQL with experience writing complex queries, views, stored procedures, and performance tuning.Job Type: Full-timeBenefits Included: medical, vision, and dental insurance; HSA and FSA accounts, etc.","company":"Boost Payment Solutions","rawCompany":"boost payment solutions","city":"New York","state":"NY","isRemote":true,"isActive":false,"createdAt":"2026-10-24T12:12:05.995Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer (Python) - Remote","description":"About Boost Boost Payment Solutions optimizes the use and acceptance of commercial cards through its suite of proprietary technology-enabled solutions. Boost has reinvented how commercial card payments are initiated, accepted, and processed for thousands of companies worldwide. As the only FinTech acquirer exclusively focused on the B2B marketplace, Boost is making commercial cards cost-effective, scalable, and secure alternative to traditional and cumbersome payment methods. Boost features a global footprint and is headquartered in New York, NY.The Senior Data Analyst will serve as the bridge between business stakeholders and the Enterprise Data team. This individual will transform data into actionable insights, define business metrics, ensure data quality, and help expand Boost's AI-ready data platform. They will work closely with Finance, Sales, Operations, Product, Customer Success, and Engineering to deliver trusted analytics, semantic models, dashboards, and data products.Business Intelligence & AnalyticsDevelop and maintain executive dashboards, reports, and scorecards using Tableau and Snowflake.Partner with Finance, Sales, Operations, Product, and Customer Success to translate business requirements into analytical solutions.Perform ad hoc analysis to identify trends, business opportunities, and operational improvements.Data Engineering & Data IntegrationDevelop and maintain SQL-based data transformation logic, views, and stored procedures within Snowflake.Support the design, testing, and maintenance of ETL/ELT data pipelines from source systems such as PostgreSQL, SQL Server, Salesforce, APIs, and Amazon S3.Validate data ingestion processes to ensure completeness, consistency, and accuracy across enterprise data platforms.Troubleshoot data pipeline issues, perform root cause analysis, and work with Data Engineers to resolve production incidents.Assist in optimizing SQL queries, data models, and reporting structures for scalability and performance.Participate in deploying data enhancements through Development, QA, Stage, and Production environments while following SDLC and change management processes.Contribute to data modeling initiatives, including dimensional models and curated reporting datasets.Data Quality & GovernanceMonitor and improve enterprise data quality by identifying anomalies, inconsistencies, and reconciliation issues.Develop data validation processes and reconciliation reports between source systems and Snowflake.Maintain business definitions, data dictionaries, metadata, and documentation for enterprise reporting assets.Collaborate with business and engineering teams to define data standards, governance policies, and reporting consistency.AI & Advanced AnalyticsSupport the development and maintenance of semantic models used by Snowflake AI and enterprise data agents.Validate AI-generated responses and improve metadata, synonyms, and business definitions to enhance accuracy.Assist in evaluating emerging AI capabilities that improve analytics, reporting, and business decision-making.Work closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver enterprise data solutions.Participate in requirements gathering, solution design, testing, and user acceptance activities.Promote best practices in analytics, data engineering, documentation, and data governance.Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field.~4–7 years of experience in data analytics, business intelligence, or analytics engineering.~ Advanced SQL with experience writing complex queries, views, stored procedures, and performance tuning.Job Type: Full-timeBenefits Included: medical, vision, and dental insurance; HSA and FSA accounts, etc.","datePosted":"2026-10-24T12:12:05.995Z","dateModified":"2026-10-24T12:12:05.995Z","hiringOrganization":{"@type":"Organization","name":"Boost Payment Solutions","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"efc1409bdafe10f6550062c7"},"url":"https://jobsearcher.com/jobs/efc1409bdafe10f6550062c7"}}