{"schemaVersion":"jobsearcher.job.v1","id":"6df5cda60ff035befa4315e5","url":"https://jobsearcher.com/jobs/6df5cda60ff035befa4315e5","canonicalUrl":"https://jobsearcher.com/jobs/6df5cda60ff035befa4315e5","title":"Software Engineer, Data","description":"Location: Norwood, MA, hybrid onsite approximately 2 days per weekEmployment Type: ContractPosition OverviewIntePros is seeking an experienced Software Engineer, Data to support a growing B2B data and marketing technology organization. This company processes large volumes of digital activity and intent data, transforming it into actionable intelligence that helps sales and marketing teams better understand prospective customers and market behavior.This is a hands-on software engineering role focused on building and supporting the systems that ingest, process, enrich and deliver data at scale. The successful candidate will use Python, AWS and modern data technologies to develop reliable applications and pipelines that support customer-facing data products.This is not a traditional reporting or business intelligence position. The ideal candidate is a software engineer who specializes in data-intensive systems and is comfortable owning technical work from design through deployment and production support.Responsibilities Design, build and maintain scalable data applications and processing pipelines Develop reliable, production-quality software using Python Build and support data ingestion, transformation and enrichment processes Process large volumes of structured and unstructured data from multiple sources Develop and maintain workflows using Airflow or a comparable orchestration platform Build cloud-based solutions within an AWS environment Contribute to event-driven and distributed system architecture Improve the performance, scalability and reliability of existing applications and pipelines Create automated tests and participate in peer code reviews Troubleshoot production issues and implement sustainable solutions Monitor data quality, pipeline health, application availability and processing performance Contribute to technical architecture decisions and technology selection Collaborate with software engineering, data engineering, data science and product teams Document system architecture, technical processes and application behaviorRequired Qualifications Five or more years of professional software engineering or data engineering experience Strong hands-on Python development experience in a production environment Experience designing and building scalable data pipelines or data-intensive applications Experience developing solutions within AWS Experience with Airflow or another workflow-orchestration platform Strong understanding of SQL, data modeling and ETL/ELT concepts Familiarity with event-driven architecture or distributed data-processing systems Understanding of software development practices, including automated testing, code reviews, version control and CI/CD Experience troubleshooting and supporting production applications or data pipelines Ability to independently own projects from initial design through implementation Strong communication and cross-functional collaboration skills Ability to work onsite in Norwood, Massachusetts approximately two days per weekPreferred Qualifications Experience with dbt, Snowflake or Databricks Experience developing backend services or data APIs using FastAPI, Django or a similar framework Experience with Docker, Kubernetes, GitHub Actions or comparable deployment technologies Experience with AWS event-driven services and cloud-native application design Experience ingesting and processing high-volume third-party or public data Experience with entity resolution, identity graphs, data enrichment or web data Previous experience supporting B2B data, marketing technology, advertising technology or other data-driven productsIdeal CandidateThe ideal candidate is a hands-on engineer who can explain how they have personally built and supported production data systems. They should be comfortable discussing the architecture behind their work, the code they developed, the volume and types of data processed, and how they addressed failures, retries, testing, monitoring and data-quality issues.Candidates whose experience is primarily focused on dashboards, reporting, requirements gathering or data governance without hands-on software development may not be aligned with this position.","company":"Intepros","rawCompany":"intepros","city":"Silver Spring","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-11T09:33:40.348Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Software Engineer, Data","description":"Location: Norwood, MA, hybrid onsite approximately 2 days per weekEmployment Type: ContractPosition OverviewIntePros is seeking an experienced Software Engineer, Data to support a growing B2B data and marketing technology organization. This company processes large volumes of digital activity and intent data, transforming it into actionable intelligence that helps sales and marketing teams better understand prospective customers and market behavior.This is a hands-on software engineering role focused on building and supporting the systems that ingest, process, enrich and deliver data at scale. The successful candidate will use Python, AWS and modern data technologies to develop reliable applications and pipelines that support customer-facing data products.This is not a traditional reporting or business intelligence position. The ideal candidate is a software engineer who specializes in data-intensive systems and is comfortable owning technical work from design through deployment and production support.Responsibilities Design, build and maintain scalable data applications and processing pipelines Develop reliable, production-quality software using Python Build and support data ingestion, transformation and enrichment processes Process large volumes of structured and unstructured data from multiple sources Develop and maintain workflows using Airflow or a comparable orchestration platform Build cloud-based solutions within an AWS environment Contribute to event-driven and distributed system architecture Improve the performance, scalability and reliability of existing applications and pipelines Create automated tests and participate in peer code reviews Troubleshoot production issues and implement sustainable solutions Monitor data quality, pipeline health, application availability and processing performance Contribute to technical architecture decisions and technology selection Collaborate with software engineering, data engineering, data science and product teams Document system architecture, technical processes and application behaviorRequired Qualifications Five or more years of professional software engineering or data engineering experience Strong hands-on Python development experience in a production environment Experience designing and building scalable data pipelines or data-intensive applications Experience developing solutions within AWS Experience with Airflow or another workflow-orchestration platform Strong understanding of SQL, data modeling and ETL/ELT concepts Familiarity with event-driven architecture or distributed data-processing systems Understanding of software development practices, including automated testing, code reviews, version control and CI/CD Experience troubleshooting and supporting production applications or data pipelines Ability to independently own projects from initial design through implementation Strong communication and cross-functional collaboration skills Ability to work onsite in Norwood, Massachusetts approximately two days per weekPreferred Qualifications Experience with dbt, Snowflake or Databricks Experience developing backend services or data APIs using FastAPI, Django or a similar framework Experience with Docker, Kubernetes, GitHub Actions or comparable deployment technologies Experience with AWS event-driven services and cloud-native application design Experience ingesting and processing high-volume third-party or public data Experience with entity resolution, identity graphs, data enrichment or web data Previous experience supporting B2B data, marketing technology, advertising technology or other data-driven productsIdeal CandidateThe ideal candidate is a hands-on engineer who can explain how they have personally built and supported production data systems. They should be comfortable discussing the architecture behind their work, the code they developed, the volume and types of data processed, and how they addressed failures, retries, testing, monitoring and data-quality issues.Candidates whose experience is primarily focused on dashboards, reporting, requirements gathering or data governance without hands-on software development may not be aligned with this position.","datePosted":"2026-09-11T09:33:40.348Z","dateModified":"2026-09-11T09:33:40.348Z","hiringOrganization":{"@type":"Organization","name":"Intepros","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Silver Spring","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6df5cda60ff035befa4315e5"},"url":"https://jobsearcher.com/jobs/6df5cda60ff035befa4315e5"}}