{"schemaVersion":"jobsearcher.job.v1","id":"0a51bd97ee7f94e28a65c861","url":"https://jobsearcher.com/jobs/0a51bd97ee7f94e28a65c861","canonicalUrl":"https://jobsearcher.com/jobs/0a51bd97ee7f94e28a65c861","title":"Data Engineer - Python/AWS/Dataframes","description":"Data Engineer – Python/AWS/DataframesOur client is going through a digital transformation on IoT equipment and are seeking to hire multiple engineers.Targeting Hourly Rate between $65/hr and $80/hrThis is a 24 Month Fully Remote Contract can hire only W2 Workers and Cannot work with any H1Bs nor can we sponsor any visasOverview: We are seeking multiple experienced Data Engineers with 8+ years in of experience, focusing on back-end pipeline development and AWS technologies. Proficiency in SQL and Python is essential, along with the ability to thrive in a fast-paced Agile environment.Key Responsibilities:Python Development: Employ Python and Pandas for data transformations, converting SQL operations into Python code.Pipeline Development: Design and implement back-end data engineering pipelines for large-scale processing.Data Ingestion: Manage data ingestion from various sources into AWS, utilizing Kinesis and S3 for frequent streaming.SQL Proficiency: Write complex SQL queries, including multi-table joins to update records.Agile Delivery: Work within Agile teams to deliver features in 2-week cycles.CI/CD Implementation: Use CI/CD practices to streamline data workflows.Qualifications:8+ years of data engineering experience in large-scale systems.2+ years with AWS services (S3, RDS, DynamoDB, Kinesis).Proficient in SQL, preferably advanced.Experience with Python and Pandas.Strong understanding of data streaming and ingestion.Benefits can include: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k), Vacation, PTO, Sick/Personal Time, Holidays, etc.","company":"Connect Search","rawCompany":"connect search","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-10T12:40:26.074Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Python/AWS/Dataframes","description":"Data Engineer – Python/AWS/DataframesOur client is going through a digital transformation on IoT equipment and are seeking to hire multiple engineers.Targeting Hourly Rate between $65/hr and $80/hrThis is a 24 Month Fully Remote Contract can hire only W2 Workers and Cannot work with any H1Bs nor can we sponsor any visasOverview: We are seeking multiple experienced Data Engineers with 8+ years in of experience, focusing on back-end pipeline development and AWS technologies. Proficiency in SQL and Python is essential, along with the ability to thrive in a fast-paced Agile environment.Key Responsibilities:Python Development: Employ Python and Pandas for data transformations, converting SQL operations into Python code.Pipeline Development: Design and implement back-end data engineering pipelines for large-scale processing.Data Ingestion: Manage data ingestion from various sources into AWS, utilizing Kinesis and S3 for frequent streaming.SQL Proficiency: Write complex SQL queries, including multi-table joins to update records.Agile Delivery: Work within Agile teams to deliver features in 2-week cycles.CI/CD Implementation: Use CI/CD practices to streamline data workflows.Qualifications:8+ years of data engineering experience in large-scale systems.2+ years with AWS services (S3, RDS, DynamoDB, Kinesis).Proficient in SQL, preferably advanced.Experience with Python and Pandas.Strong understanding of data streaming and ingestion.Benefits can include: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k), Vacation, PTO, Sick/Personal Time, Holidays, etc.","datePosted":"2026-10-10T12:40:26.074Z","dateModified":"2026-10-10T12:40:26.074Z","hiringOrganization":{"@type":"Organization","name":"Connect Search","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0a51bd97ee7f94e28a65c861"},"url":"https://jobsearcher.com/jobs/0a51bd97ee7f94e28a65c861"}}