{"schemaVersion":"jobsearcher.job.v1","id":"59d321d5d638e50fb4cf354b","url":"https://jobsearcher.com/jobs/59d321d5d638e50fb4cf354b","canonicalUrl":"https://jobsearcher.com/jobs/59d321d5d638e50fb4cf354b","title":"Senior Data Engineer","description":"Senior Data EngineerAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!\r\nWe are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.\r\nWhat You Will Do:\r\nDesign and implement Python Data Engineering solutions;\r\nDesign and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;\r\nDesign and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;\r\nDevelop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;\r\nManage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;\r\nWork with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;\r\nAct as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;\r\nWork with Terraform and other tools to build AWS and on-prem infrastructure.\r\nMust Haves:\r\nYou must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;\r\nBachelor's degree in computer science/engineering or other technical field, or equivalent experience;\r\n5+ years of experience with Python (strong, hands-on Python experience is a must);\r\n5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;\r\n2+ years of experience with Big Data technologies (Spark, Snowflake);\r\nExpert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;\r\nDeep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);\r\nProven ability to work with 3rd party APIs for complex data ingestion tasks;\r\nProficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;\r\nExceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;\r\nExcellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;\r\nA self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;\r\nTaking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;\r\nStrong communication skills for seamless global collaboration with stakeholders and distributed teams;\r\nUpper-intermediate English level.\r\nNice To Haves:\r\nFamiliarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;\r\nDocumentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;\r\nOpenSearch, Elasticsearch;\r\nAWS Sagemaker Studio, Jupyter for analyze data;\r\nTerraform;\r\nScala.\r\nPerks and Benefits:\r\nProfessional growth: Mentorship, TechTalks, and personalized growth roadmaps.\r\nCompetitive compensation: USD-based pay with education, fitness, and team activity budgets.\r\nExciting projects: Modern solutions with Fortune 500 and top product companies.\r\nFlextime: Flexible schedule with remote and office options.","company":"AgileEngine","rawCompany":"agileengine","city":"Miami","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:24:17.762Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Senior Data Engineer","description":"Senior Data EngineerAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!\r\nWe are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.\r\nWhat You Will Do:\r\nDesign and implement Python Data Engineering solutions;\r\nDesign and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;\r\nDesign and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;\r\nDevelop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;\r\nManage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;\r\nWork with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;\r\nAct as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;\r\nWork with Terraform and other tools to build AWS and on-prem infrastructure.\r\nMust Haves:\r\nYou must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;\r\nBachelor's degree in computer science/engineering or other technical field, or equivalent experience;\r\n5+ years of experience with Python (strong, hands-on Python experience is a must);\r\n5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;\r\n2+ years of experience with Big Data technologies (Spark, Snowflake);\r\nExpert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;\r\nDeep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);\r\nProven ability to work with 3rd party APIs for complex data ingestion tasks;\r\nProficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;\r\nExceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;\r\nExcellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;\r\nA self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;\r\nTaking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;\r\nStrong communication skills for seamless global collaboration with stakeholders and distributed teams;\r\nUpper-intermediate English level.\r\nNice To Haves:\r\nFamiliarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;\r\nDocumentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;\r\nOpenSearch, Elasticsearch;\r\nAWS Sagemaker Studio, Jupyter for analyze data;\r\nTerraform;\r\nScala.\r\nPerks and Benefits:\r\nProfessional growth: Mentorship, TechTalks, and personalized growth roadmaps.\r\nCompetitive compensation: USD-based pay with education, fitness, and team activity budgets.\r\nExciting projects: Modern solutions with Fortune 500 and top product companies.\r\nFlextime: Flexible schedule with remote and office options.","datePosted":"2026-08-08T01:24:17.762Z","dateModified":"2026-08-08T01:24:17.762Z","hiringOrganization":{"@type":"Organization","name":"AgileEngine","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"59d321d5d638e50fb4cf354b"},"url":"https://jobsearcher.com/jobs/59d321d5d638e50fb4cf354b"}}