ReturnPro ยท 9 hours ago
Data Engineer
Miami, FL
Full-time
Onsite
Senior Level
5+ years expReturnPro is seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. This role involves architecting scalable data systems, ensuring data integrity, and implementing software engineering best practices. The ideal candidate will have a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.
Information TechnologySaaSSupply Chain Management
Responsibilities
Design and implement scalable data pipelines for data ingestion, transformation, and storage
Architect and optimize data lakes and data warehouses to support analytics and reporting needs
Develop robust ETL processes to integrate structured and unstructured data from diverse sources
Ensure high data quality through cleaning, validation, and transformation techniques
Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets
Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake
Manage data lakes to facilitate efficient data access and processing for downstream applications
Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems
Lead database architecture efforts, including schema design, query optimization, and performance tuning
Oversee the design and management of data warehouses, ensuring reliability, scalability, and security
Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations
Implement scripting automation using Bash and PowerShell to streamline workflows
Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging
Act as a technical leader, providing guidance on best practices
Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives
Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks
Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
5+ years of experience as a Data Engineer with expertise in building large-scale data solutions
Proficiency in Python, SQL, and scripting languages (Bash, PowerShell)
Deep understanding of big data tools (Hadoop, Spark) and ETL processes
Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake)
Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization
Experience designing and managing data warehouses for performance and scalability
Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing
Preferred
Strong experience in software architecture, design patterns, and code optimization
Expertise in Python-based pipelines and ETL frameworks
Experience with Azure Data Services and Databricks
Excellent problem-solving, analytical, and communication skills
Experience working in agile environments and collaborating with diverse teams
Company
ReturnPro
At ReturnPro, we help retailers, brands, and 3P sellers turn returns into opportunity.
1001-5000 employees
H1B Sponsorship
ReturnPro has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Late StageLeadership Team
Sender Shamiss
President & CEO
Fara Alexander
Director Of Brand Management
Recent News
The Virginian-Pilot
2024-11-04
Company data provided by crunchbase