Lead Data Engineer: Scale Financial Data Pipelines

U.S. Bank; Cincinnati (OH); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance (term and optional)

Short‑term and long‑term disability

Parental leave

401(k) with employer contribution

Paid vacation (2‑5 weeks)

Adoption assistance

Job summary

A financial services institution is seeking a Lead Data Engineer to design and execute large-scale data projects that ensure data integrity and regulatory compliance. The role involves developing data pipelines, integrating various data sources, and collaborating with teams to support analytics and reporting. The ideal candidate will have over 7 years of experience in database management and proficiency in Python, SQL, and cloud data solutions. This position offers comprehensive benefits including healthcare and retirement plans.

Qualifications

• 7+ years of experience administering data, managing databases, and designing data pipelines.
• Strong knowledge of data pipeline tools and cloud technologies.
• Experience with relational databases and best practices for data architecture.

Responsibilities

• Develop and maintain data pipelines to ingest, process, and store financial data.
• Integrate structured and unstructured data from various sources.
• Build and optimize relational and non‑relational databases for reporting and analytics.
• Implement data quality checks and govern data policies.
• Collaborate with teams to deliver usable data for analysis.

Skills

Python

SQL

Scala

Kafka

Airflow

ETL frameworks

AWS

Azure

Google Cloud

Education

Bachelor’s degree or equivalent work experience

Tools

Snowflake

Redshift

RDS

Job description

A financial services institution is seeking a Lead Data Engineer to design and execute large-scale data projects that ensure data integrity and regulatory compliance. The role involves developing data pipelines, integrating various data sources, and collaborating with teams to support analytics and reporting. The ideal candidate will have over 7 years of experience in database management and proficiency in Python, SQL, and cloud data solutions. This position offers comprehensive benefits including healthcare and retirement plans.