Data Engineer

Retired.com is a fintech company focused on data-driven solutions, and they are seeking a Data Engineer to support the design and maintenance of scalable data infrastructure. The role involves building reliable data pipelines, collaborating with cross-functional teams, and ensuring data quality and performance.

Responsibilities:

• Design, develop, and maintain scalable data pipelines that support ingestion, transformation, and storage of structured and unstructured data
• Build and maintain data ingestion processes from multiple sources including APIs, third-party platforms, and internal systems
• Collaborate with data engineers, analysts, and product teams to understand data requirements and deliver reliable data solutions
• Monitor, optimize, and troubleshoot existing data pipelines to ensure performance, reliability, and data accuracy
• Develop and maintain documentation for data schemas, pipeline architecture, and data engineering processes
• Perform data profiling and exploratory data analysis to support data modeling and engineering initiatives
• Contribute to the implementation of data governance, security, and compliance practices in alignment with company policies and regulatory requirements
• Support continuous improvement of data infrastructure by identifying opportunities to enhance scalability, efficiency, and maintainability

Requirements:

• Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field
• 4 years of experience in data engineering, data analytics, software engineering, or a related technical role (internships or academic projects may be considered)
• Experience with relational databases and strong proficiency in SQL
• Proficiency in at least one programming language commonly used in data engineering, such as Python, Java, or Scala
• Understanding of data warehousing concepts and ETL/ELT pipeline development
• Familiarity with cloud-based platforms such as AWS, Google Cloud Platform, or Azure
• Exposure to distributed data processing tools such as Apache Spark, Kafka, or Airflow is a plus