{"schemaVersion":"jobsearcher.job.v1","id":"2c9f41b1abe5ccfed126a020","url":"https://jobsearcher.com/jobs/2c9f41b1abe5ccfed126a020","canonicalUrl":"https://jobsearcher.com/jobs/2c9f41b1abe5ccfed126a020","title":"Data Engineer","description":"TCP is partnered with a fast-growing renewable energy technology company building AI-powered software that helps optimize energy storage and renewable assets in real time. Their platform enables energy traders to make smarter decisions, accelerating the transition to a cleaner, more reliable power grid.We're hiring a Data Engineer to help scale the cloud data platform that powers these trading systems. You'll build production data pipelines in Python, expand cloud infrastructure, and collaborate closely with software engineers, data scientists, and ML teams to deliver reliable, high-performance data systems that support real-time trading and AI-driven decision making.What You'll DoBuild and maintain scalable data pipelines and cloud data infrastructure using PythonDevelop production-ready tooling that supports data engineering, software engineering, and machine learning teamsImprove data quality, reliability, and performance across large-scale datasetsEnhance orchestration, infrastructure, and cloud platforms using AWS, Docker, Kubernetes, and TerraformCollaborate closely with software engineers, data scientists, and ML engineers to support real-time trading systemsWhat We're Looking For3+ years of professional experience building production data pipelinesStrong Python experience with libraries such as Pandas, NumPy, Polars, or PydanticExperience with AWS, Docker, Kubernetes, Terraform, and orchestration tools such as Airflow or PrefectStrong SQL skills and experience with relational databases such as PostgreSQLComfortable working in fast-paced engineering environments and collaborating across software, data, and machine learning teamsExperience with cloud-native data platforms and an interest in AI, machine learning, or large-scale distributed systems is a plusWork Style: Hybrid (3 days onsite)Comp: $100k - $130k Base Salary + Healthcare + 401k w/ 5% match + Unlimited PTOPLEASE NOTE SPONSORSHIP WILL NOT BE ABLE TO BE PROVIDED FOR THIS ROLE.","company":"Talent Connect Protocol","rawCompany":"talent connect protocol","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-16T12:33:42.471Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"TCP is partnered with a fast-growing renewable energy technology company building AI-powered software that helps optimize energy storage and renewable assets in real time. Their platform enables energy traders to make smarter decisions, accelerating the transition to a cleaner, more reliable power grid.We're hiring a Data Engineer to help scale the cloud data platform that powers these trading systems. You'll build production data pipelines in Python, expand cloud infrastructure, and collaborate closely with software engineers, data scientists, and ML teams to deliver reliable, high-performance data systems that support real-time trading and AI-driven decision making.What You'll DoBuild and maintain scalable data pipelines and cloud data infrastructure using PythonDevelop production-ready tooling that supports data engineering, software engineering, and machine learning teamsImprove data quality, reliability, and performance across large-scale datasetsEnhance orchestration, infrastructure, and cloud platforms using AWS, Docker, Kubernetes, and TerraformCollaborate closely with software engineers, data scientists, and ML engineers to support real-time trading systemsWhat We're Looking For3+ years of professional experience building production data pipelinesStrong Python experience with libraries such as Pandas, NumPy, Polars, or PydanticExperience with AWS, Docker, Kubernetes, Terraform, and orchestration tools such as Airflow or PrefectStrong SQL skills and experience with relational databases such as PostgreSQLComfortable working in fast-paced engineering environments and collaborating across software, data, and machine learning teamsExperience with cloud-native data platforms and an interest in AI, machine learning, or large-scale distributed systems is a plusWork Style: Hybrid (3 days onsite)Comp: $100k - $130k Base Salary + Healthcare + 401k w/ 5% match + Unlimited PTOPLEASE NOTE SPONSORSHIP WILL NOT BE ABLE TO BE PROVIDED FOR THIS ROLE.","datePosted":"2026-07-16T12:33:42.471Z","dateModified":"2026-07-16T12:33:42.471Z","hiringOrganization":{"@type":"Organization","name":"Talent Connect Protocol","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2c9f41b1abe5ccfed126a020"},"url":"https://jobsearcher.com/jobs/2c9f41b1abe5ccfed126a020"}}