{"schemaVersion":"jobsearcher.job.v1","id":"7b679e6d3019f7ac245ae31b","url":"https://jobsearcher.com/jobs/7b679e6d3019f7ac245ae31b","canonicalUrl":"https://jobsearcher.com/jobs/7b679e6d3019f7ac245ae31b","title":"Data Engineer","description":"Data Engineer\nLocation: Miami, FL (Onsite preferred)\nLong Term Contract\n\nRole Overview\nWe are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company//'s analytics. This role will focus on developing reliable pipelines that ingest data from key commercial systems (Salesforce, HubSpot, Stripe, and more) into BigQuery, ensuring data is clean, well-documented, and readily available for the Analytics and BI teams. The ideal candidate will combine strong technical expertise with a collaborative mindset to deliver trustworthy, high-performance data solutions.\nKey Responsibilities\nDesign, build, and maintain robust ELT/ETL pipelines ingesting data into BigQuery.\nConfigure and extend Fivetran connectors; develop custom connectors when required.\nDevelop and maintain dbt models, tests, and documentation to ensure data quality and lineage.\nMonitor pipeline health, implement alerting, and respond to incidents to ensure data freshness.\nPartner with the Senior Data Architect on data governance practices (cataloguing, certification, access controls).\nOptimize BigQuery tables for cost efficiency and query performance (partitioning, clustering, materialization).\nCollaborate with Analytics Engineers and Analysts to align data models with downstream requirements.\nContribute to CI/CD pipelines and infrastructure-as-code practices for data assets.\nDocument data flows, dependencies, and pipeline architecture for transparency and team alignment.\nQualifications\n3+ years of experience in data engineering or related roles.\nStrong proficiency in SQL and Python for pipeline development and debugging.\nHands-on experience with BigQuery or other cloud data warehouses (Snowflake, Redshift, etc.).\nExperience with ELT/ETL tools (Fivetran, Airbyte, or custom frameworks).\nProficiency with dbt for transformations and testing.\nExperience with workflow orchestration tools (Airflow, Cloud Composer, Prefect).\nFamiliarity with GCP services (Cloud Storage, Pub/Sub, Cloud Functions) or equivalent AWS/Azure services.\nStrong understanding of data modeling concepts (star schema, SCDs, normalization).\nFluent in English (written and spoken).\nNice to Have\nExperience integrating Salesforce, HubSpot, or Stripe data sources.\nKnowledge of data governance tools (GCP Data Catalog, Dataplex).\nExperience with streaming pipelines (Pub/Sub, Kafka).\nFamiliarity with Terraform or other IaC tools.\nBackground in Revenue Operations or go-to-market data contexts.\nContributions to open-source data projects or dbt packages.","company":"Stellar It Solutions","rawCompany":"stellar it solutions","city":"Miami","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-07-29T11:43:00.003Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"Data Engineer","description":"Data Engineer\nLocation: Miami, FL (Onsite preferred)\nLong Term Contract\n\nRole Overview\nWe are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company//'s analytics. This role will focus on developing reliable pipelines that ingest data from key commercial systems (Salesforce, HubSpot, Stripe, and more) into BigQuery, ensuring data is clean, well-documented, and readily available for the Analytics and BI teams. The ideal candidate will combine strong technical expertise with a collaborative mindset to deliver trustworthy, high-performance data solutions.\nKey Responsibilities\nDesign, build, and maintain robust ELT/ETL pipelines ingesting data into BigQuery.\nConfigure and extend Fivetran connectors; develop custom connectors when required.\nDevelop and maintain dbt models, tests, and documentation to ensure data quality and lineage.\nMonitor pipeline health, implement alerting, and respond to incidents to ensure data freshness.\nPartner with the Senior Data Architect on data governance practices (cataloguing, certification, access controls).\nOptimize BigQuery tables for cost efficiency and query performance (partitioning, clustering, materialization).\nCollaborate with Analytics Engineers and Analysts to align data models with downstream requirements.\nContribute to CI/CD pipelines and infrastructure-as-code practices for data assets.\nDocument data flows, dependencies, and pipeline architecture for transparency and team alignment.\nQualifications\n3+ years of experience in data engineering or related roles.\nStrong proficiency in SQL and Python for pipeline development and debugging.\nHands-on experience with BigQuery or other cloud data warehouses (Snowflake, Redshift, etc.).\nExperience with ELT/ETL tools (Fivetran, Airbyte, or custom frameworks).\nProficiency with dbt for transformations and testing.\nExperience with workflow orchestration tools (Airflow, Cloud Composer, Prefect).\nFamiliarity with GCP services (Cloud Storage, Pub/Sub, Cloud Functions) or equivalent AWS/Azure services.\nStrong understanding of data modeling concepts (star schema, SCDs, normalization).\nFluent in English (written and spoken).\nNice to Have\nExperience integrating Salesforce, HubSpot, or Stripe data sources.\nKnowledge of data governance tools (GCP Data Catalog, Dataplex).\nExperience with streaming pipelines (Pub/Sub, Kafka).\nFamiliarity with Terraform or other IaC tools.\nBackground in Revenue Operations or go-to-market data contexts.\nContributions to open-source data projects or dbt packages.","datePosted":"2026-07-29T11:43:00.003Z","dateModified":"2026-07-29T11:43:00.003Z","hiringOrganization":{"@type":"Organization","name":"Stellar It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7b679e6d3019f7ac245ae31b"},"url":"https://jobsearcher.com/jobs/7b679e6d3019f7ac245ae31b"}}