Data Engineer

Job Title: Data Engineer

Location: Cincinnati, OH (ONSITE)

**W2 only**

**No Sponsorship now or in the future**

**Onsite**

JOB DESCRIPTION

• The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data.
• The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales.
• These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined.
• Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience.
• While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Responsible for design, Development, and Support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
• Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions for the Bank.
• Act as a technical Expert addressing problems related to system and application design, performance, integration, security, etc.
• Conduct research and Development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
• Work with developers to Build CI/CD pipelines, Self-service Build tools, and automated deployment processes.- Evaluate software products and Provide documented recommendations as needed.
• Provide Support and troubleshooting for data platforms. Must be willing to Provide escalated on-call Support for complicated and/or critical incidents.
• Participate in the planning process for hardware and software.
• Plan and work on internal projects as needed, including legacy system replacement, Monitoring and analytics improvements, tool Development, and technical documentation.
• Provide technical guidance and mentoring for other team members.
• Manage and prioritize multiple assignments.

Key Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in data processing technologies (e.g., Apache Spark, Hadoop, Kafka).
• Strong SQL skills and experience working with relational databases (e.g., MySQL, PostgreSQL).
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with data warehousing concepts (e.g., Redshift, BigQuery, Snowflake).
• Experience with programming languages such as Python, Java, or Scala.
• Knowledge of ETL tools (e.g., Airflow, Talend, Informatica).
• Strong problem-solving skills and attention to detail.
• Ability to work in a collaborative, team-oriented environment.

Preferred Qualifications:

• Master’s degree in a related field.
• Experience with NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with machine learning or advanced analytics pipelines.