{"schemaVersion":"jobsearcher.job.v1","id":"88cf2e6c71cfb30fc6f0e0dc","url":"https://jobsearcher.com/jobs/88cf2e6c71cfb30fc6f0e0dc","canonicalUrl":"https://jobsearcher.com/jobs/88cf2e6c71cfb30fc6f0e0dc","title":"Data Engineer","description":"We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.\nPrimary Responsibilities/Essential Functions\nThis job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.\nKey Responsibilities\nData Architecture and Engineering\nDesign and implement scalable data pipelines for data ingestion, transformation, and storage.\nArchitect and optimize data lakes and data warehouses to support analytics and reporting needs.\nDevelop robust ETL processes to integrate structured and unstructured data from diverse sources.\nEnsure high data quality through cleaning, validation, and transformation techniques.\nCloud and Big Data Solutions\nLead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.\nDevelop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.\nManage data lakes to facilitate efficient data access and processing for downstream applications.\nDatabase and Data Warehousing\nDesign, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.\nLead database architecture efforts, including schema design, query optimization, and performance tuning.\nOversee the design and management of data warehouses, ensuring reliability, scalability, and security.\nSoftware Development and Automation\nUtilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.\nImplement scripting automation using Bash and PowerShell to streamline workflows.\nLeverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.\nCollaboration and Leadership\nAct as a technical leader, providing guidance on best practices.\nCollaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.\nDrive innovation by evaluating and integrating emerging tools, technologies, and frameworks.\nEstablish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.\nRequired:\nBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.\n5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.\nProficiency in Python, SQL, and scripting languages (Bash, PowerShell).\nDeep understanding of big data tools (Hadoop, Spark) and ETL processes.\nHands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).\nStrong knowledge of database systems (SQL, NoSQL), database design, and query optimization.\nExperience designing and managing data warehouses for performance and scalability.\nProficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.\nPreferred\nStrong experience in software architecture, design patterns, and code optimization.\nExpertise in Python-based pipelines and ETL frameworks.\nExperience with Azure Data Services and Databricks.\nExcellent problem-solving, analytical, and communication skills.\nExperience working in agile environments and collaborating with diverse teams.","company":"Returnpro","rawCompany":"returnpro","city":"Aventura","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-07-19T13:24:11.959Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Data Engineer","description":"We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.\nPrimary Responsibilities/Essential Functions\nThis job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.\nKey Responsibilities\nData Architecture and Engineering\nDesign and implement scalable data pipelines for data ingestion, transformation, and storage.\nArchitect and optimize data lakes and data warehouses to support analytics and reporting needs.\nDevelop robust ETL processes to integrate structured and unstructured data from diverse sources.\nEnsure high data quality through cleaning, validation, and transformation techniques.\nCloud and Big Data Solutions\nLead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.\nDevelop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.\nManage data lakes to facilitate efficient data access and processing for downstream applications.\nDatabase and Data Warehousing\nDesign, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.\nLead database architecture efforts, including schema design, query optimization, and performance tuning.\nOversee the design and management of data warehouses, ensuring reliability, scalability, and security.\nSoftware Development and Automation\nUtilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.\nImplement scripting automation using Bash and PowerShell to streamline workflows.\nLeverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.\nCollaboration and Leadership\nAct as a technical leader, providing guidance on best practices.\nCollaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.\nDrive innovation by evaluating and integrating emerging tools, technologies, and frameworks.\nEstablish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.\nRequired:\nBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.\n5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.\nProficiency in Python, SQL, and scripting languages (Bash, PowerShell).\nDeep understanding of big data tools (Hadoop, Spark) and ETL processes.\nHands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).\nStrong knowledge of database systems (SQL, NoSQL), database design, and query optimization.\nExperience designing and managing data warehouses for performance and scalability.\nProficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.\nPreferred\nStrong experience in software architecture, design patterns, and code optimization.\nExpertise in Python-based pipelines and ETL frameworks.\nExperience with Azure Data Services and Databricks.\nExcellent problem-solving, analytical, and communication skills.\nExperience working in agile environments and collaborating with diverse teams.","datePosted":"2026-07-19T13:24:11.959Z","dateModified":"2026-07-19T13:24:11.959Z","hiringOrganization":{"@type":"Organization","name":"Returnpro","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Aventura","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"88cf2e6c71cfb30fc6f0e0dc"},"url":"https://jobsearcher.com/jobs/88cf2e6c71cfb30fc6f0e0dc"}}