Data Engineer

2 days ago

Fort Lauderdale, Florida, United States iBusiness Funding Full time
Job Title: Data Engineer

iBusiness Funding is a leading provider of innovative Software as a Service (SaaS) solutions for banks and lenders, with a specialization in SBA lending. We build scalable lending platforms that streamline the business lending process, allowing lenders to efficiently deliver capital to small and medium-sized businesses.

As a top five SBA 7(a) preferred lender, our parent company offers SBA express and small loan capabilities. We are seeking a highly skilled Data Engineer to join our team and contribute to our mission of transforming the finance industry and empowering businesses to thrive.

Key Responsibilities:
  • Design and develop large-scale data repositories, including data lakes and dimensional data warehouses.
  • Develop and support ETL pipelines with robust monitoring and alarming.
  • Develop data models that are optimized and aggregated for business needs.
  • Build robust and scalable data integration (ETL) pipelines using SQL, Python, and AWS services such as Glue, Lambda, and Step Functions.
  • Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift.
  • Interface with business customers, gathering requirements, and delivering complete reporting solutions.
  • Continually improve ongoing reporting and analysis processes and automating or simplifying self-service support for customers.
  • Work cross-functionally with other teams such as risk, analytics, product, and more to develop data-driven products and tools.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
  • Experience working with large-scale data repositories like data lakes or dimensional data warehouses.
  • Ability to write high-quality, maintainable, and robust code, often in SQL and Python.
  • 3+ years of Data Warehouse Experience with Oracle, Redshift, Postgres, Snowflake, etc., with demonstrated strength in SQL, Python, data modeling, ETL development, and data warehousing.
  • Extensive experience working with cloud services (AWS or Azure or GCS) with a strong understanding of cloud databases (e.g., Redshift/Aurora/DynamoDB), compute engines (e.g., EMR/EC2), data streaming (e.g., Kinesis), storage (e.g., S3), etc.
  • Fundamental understanding of version control software such as Git.
  • Experience with CI/CD, automated testing, and DevOps best practices.
  • Candidates must be authorized to work in the U.S.
Preferred Qualifications:
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).
  • Masters in Computer Science, Mathematics, Statistics, Economics, or other quantitative fields.
  • 5+ years of experience in data engineering-related fields in a company with large, complex data sources.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
  • Experience working with AWS (Redshift, S3, EMR, Glue, Airflow, Kinesis, Step Functions).
  • Hands-on in any scripting language (BASH, C#, Java, Python, Typescript).
  • Hands-on experience using ETL tools (SSIS, Alteryx, Talend).
  • Background in non-relational databases or OLAP is a plus.
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
  • Strong analytical skills, 5+ years' experience with Python, Scala, and an interest in real-time data processing.
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions, and data engineering strategy.

iBusiness Funding is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.

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