{"schemaVersion":"jobsearcher.job.v1","id":"4e6e702f182b76c2dd29f135","url":"https://jobsearcher.com/jobs/4e6e702f182b76c2dd29f135","canonicalUrl":"https://jobsearcher.com/jobs/4e6e702f182b76c2dd29f135","title":"Staff Data Engineer","description":"Location\nRemote\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nEngineering\n\nStaff Data Engineer\nFull-time | US | Canada\n\nOXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before.\nJob Description:\nOXIO’s Data team is responsible for powering data-driven decision-making across the entire organization. In order for us to execute our mission effectively, we need to build a solid data foundation and ensure that every area of the business has access to highly reliable data.\nWe are hiring a talented and experienced Senior Data Engineer to join our small, but growing Data team, playing a critical role in designing and executing a robust and forward-looking data strategy for the company. Our team owns the data pipelines and tools that provide secure, reliable, and accessible data, enabling team members to derive actionable insights. Doing this job well means that we enable the entire organization’s ability to make more informed decisions, innovate faster, and serve our customers better.\nIn this role, you will work directly with our Data, Engineering, Operations, Data Science, Go-to-Market, and Finance teams to support the organization's data processing and analytics needs. You will serve as the internal expert on all things data engineering, empowering your peers with your expertise to collectively build a world-class data culture. This is a unique opportunity to directly influence not only our data systems, but also our drones and global operations. The ideal candidate will help us design systems that support the company’s needs today and many years into the future.\nKey Responsibilities:\nHelp build, maintain, and scale our data pipelines that bring together data from various internal and external systems into our data warehouse.\nPartner with internal stakeholders to understand analysis needs and consumption patterns.\nPartner with upstream engineering teams to enhance data logging patterns and best practices.\nParticipate in architectural decisions and help us plan for the company’s data needs as we scale.\nAdopt and evangelize data engineering best practices for data processing, modeling, and lake/warehouse development.\nAdvise engineers and other cross-functional partners on how to most efficiently use our data tools.\n\nKey Qualifications:\nHave 7+ years experience building large scale data platforms.\nExperience in Data Engineering, and/or Analytics Engineering, building scalable data warehouses\nProficient with Dimensional Modeling (Star Schema, Kimball, Inmon) and Data architecture concepts, able to coach and influence others to up-level the craft of Data Engineering\nFantastic collaboration and communication skills, demonstrated by successful large-scale projects spanning multiple teams\nAdvanced SQL skills (ease with window functions, defining UDFs)\nExperienced with Python, Spark for building and maintaining data pipelines & ETL/ELT processes\nExperienced working with dbt and Snowflake, BigQuery, Redshift or other data warehouses.\nExperience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements\nDevelop data models, schemas and standards for event data\nOptimize data storage and access patterns for fast querying.\nImprove data reliability, discoverability and observability.\nFamiliarity to Data Engineering tooling: ingesting, testing transformations, lineage, orchestration, publishing data, metric layers\nFamiliarity with storage layers like Hudi, Delta Lake and Iceberg.\nAptitude for product analysis, dashboarding, and reporting\nFamiliarity with infrastructure tooling such as Terraform/Pulumi and worked with Kubernetes.\nproficiency with AWS cloud\nNice to haves:\nExperience building streaming applications or pipelines using async messaging services or distributed streaming platforms like Apache Kafka\nKnowledge of Airflow or some other orchestration tool\nExperience with Spark or PySpark\nExperience with event-driven architecture and streaming data processing frameworks like Kafka, Spark, Flink.\nExperienced with time-series databases like Clickhouse, InfluxDB.\nWhat We Offer:\nCompetitive salary and stock option incentive program\nCompany paid healthcare\nFlexible work arrangements\nCompany sponsored team-lunches and company retreats\nInternational organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup\nA diverse and inclusive team.\nWe welcome applicants from all backgrounds to apply regardless of race, ethnicity, age, disability status or","company":"Oxio","rawCompany":"oxio","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T17:43:29.033Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","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":"Staff Data Engineer","description":"Location\nRemote\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nEngineering\n\nStaff Data Engineer\nFull-time | US | Canada\n\nOXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before.\nJob Description:\nOXIO’s Data team is responsible for powering data-driven decision-making across the entire organization. In order for us to execute our mission effectively, we need to build a solid data foundation and ensure that every area of the business has access to highly reliable data.\nWe are hiring a talented and experienced Senior Data Engineer to join our small, but growing Data team, playing a critical role in designing and executing a robust and forward-looking data strategy for the company. Our team owns the data pipelines and tools that provide secure, reliable, and accessible data, enabling team members to derive actionable insights. Doing this job well means that we enable the entire organization’s ability to make more informed decisions, innovate faster, and serve our customers better.\nIn this role, you will work directly with our Data, Engineering, Operations, Data Science, Go-to-Market, and Finance teams to support the organization's data processing and analytics needs. You will serve as the internal expert on all things data engineering, empowering your peers with your expertise to collectively build a world-class data culture. This is a unique opportunity to directly influence not only our data systems, but also our drones and global operations. The ideal candidate will help us design systems that support the company’s needs today and many years into the future.\nKey Responsibilities:\nHelp build, maintain, and scale our data pipelines that bring together data from various internal and external systems into our data warehouse.\nPartner with internal stakeholders to understand analysis needs and consumption patterns.\nPartner with upstream engineering teams to enhance data logging patterns and best practices.\nParticipate in architectural decisions and help us plan for the company’s data needs as we scale.\nAdopt and evangelize data engineering best practices for data processing, modeling, and lake/warehouse development.\nAdvise engineers and other cross-functional partners on how to most efficiently use our data tools.\n\nKey Qualifications:\nHave 7+ years experience building large scale data platforms.\nExperience in Data Engineering, and/or Analytics Engineering, building scalable data warehouses\nProficient with Dimensional Modeling (Star Schema, Kimball, Inmon) and Data architecture concepts, able to coach and influence others to up-level the craft of Data Engineering\nFantastic collaboration and communication skills, demonstrated by successful large-scale projects spanning multiple teams\nAdvanced SQL skills (ease with window functions, defining UDFs)\nExperienced with Python, Spark for building and maintaining data pipelines & ETL/ELT processes\nExperienced working with dbt and Snowflake, BigQuery, Redshift or other data warehouses.\nExperience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements\nDevelop data models, schemas and standards for event data\nOptimize data storage and access patterns for fast querying.\nImprove data reliability, discoverability and observability.\nFamiliarity to Data Engineering tooling: ingesting, testing transformations, lineage, orchestration, publishing data, metric layers\nFamiliarity with storage layers like Hudi, Delta Lake and Iceberg.\nAptitude for product analysis, dashboarding, and reporting\nFamiliarity with infrastructure tooling such as Terraform/Pulumi and worked with Kubernetes.\nproficiency with AWS cloud\nNice to haves:\nExperience building streaming applications or pipelines using async messaging services or distributed streaming platforms like Apache Kafka\nKnowledge of Airflow or some other orchestration tool\nExperience with Spark or PySpark\nExperience with event-driven architecture and streaming data processing frameworks like Kafka, Spark, Flink.\nExperienced with time-series databases like Clickhouse, InfluxDB.\nWhat We Offer:\nCompetitive salary and stock option incentive program\nCompany paid healthcare\nFlexible work arrangements\nCompany sponsored team-lunches and company retreats\nInternational organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup\nA diverse and inclusive team.\nWe welcome applicants from all backgrounds to apply regardless of race, ethnicity, age, disability status or","datePosted":"2026-08-04T17:43:29.033Z","dateModified":"2026-08-04T17:43:29.033Z","hiringOrganization":{"@type":"Organization","name":"Oxio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e6e702f182b76c2dd29f135"},"url":"https://jobsearcher.com/jobs/4e6e702f182b76c2dd29f135"}}