Staff - Data Engineer

Role overview

Core responsibilities

• Assess architecture, infrastructure, source interfaces, automated data-loading tools, security concerns, analytical models, and visualization needs.
• Guide ingestion from varied internal and external sources; monitor processes and identify data-quality or pipeline issues.
• Collaborate on data models, version control, critical data elements, and quality checks.
• Translate requirements into analytical tools and dashboards, with attention to usability.
• Extract and transform credit and retail data from sources including client marketing databases and second- and third-party data.
• Automate workflows with orchestration tools, SQL, and big-data or cloud solutions; support proof-of-concept work.
• Build tools to configure, monitor, and orchestrate data infrastructure and pipelines.
• Process structured and unstructured data for Hive, NoSQL, or warehouse storage; maintain HDFS.
• Work with analysts and data scientists on descriptive, forecasting, and predictive models.
• Evaluate technologies, make infrastructure decisions, collaborate on product data features, and mentor associates.

Minimum qualifications and expectations

• A bachelor’s degree in Computer Science is listed; the available description cuts off after “or,” leaving any additional accepted fields unclear.
• Demonstrate foundational knowledge of credit card operations, banking, financial services, loyalty rewards, retail, and credit card regulations.
• Use data operations practices and tools, including Agile project management, CI/CD, and JIRA; document milestones and data lineage.
• Communicate technical subjects to varied audiences and collaborate effectively with business users, analysts, architects, and engineers.

Technology and domain context

• Technologies named include Hadoop, Spark, SQL, big-data technologies, HDFS, Hive, NoSQL databases, orchestration tools, cloud solutions, and Git.
• The role supports marketing analytics and works with credit, retail, financial, loyalty, and regulatory data.