Data Engineer (AI) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Customers Bank · 6 hours ago

Data Engineer (AI)

Customers Bank is a super-community bank focused on delivering memorable customer experiences through innovation and personal service. The Data Engineer will play a foundational role in building the bank's modern data ecosystem, enabling enterprise automation, analytics, and AI initiatives while partnering with various teams to support data integration and engineering solutions.

BankingCommercialFinancial ServicesVenture Capital
badNo H1Bnote

Responsibilities

Design, build, and maintain ETL/ELT pipelines that ingest, transform, and integrate data from a wide variety of source systems
Support data gathering and integration efforts across core operational, financial, and third-party platforms using REST and SOAP APIs, files, and database connections
Enable downstream consumption of data by RPA automations, analytics dashboards, reporting, and AI/ML solutions
Work with structured and semi-structured data supporting batch, scheduled, event-driven, and near-real-time use cases
Partner closely with business SMEs, automation developers, and analysts to understand data requirements and translate them into scalable, production-ready engineering solutions
Implement data quality checks, validation rules, and monitoring to ensure accuracy, consistency, and reliability
Contributes to the definition of data engineering standards, patterns, and best practices suitable for enterprise scale
Document data pipelines, data flows, and assumptions to support transparency, maintainability, and governance
Troubleshoot data issues, optimize pipeline performance, and continuously improve reliability and efficiency
Support data governance, security, and access controls in alignment with enterprise and regulatory requirements
Stay current on modern data engineering tools, cloud data platforms, and industry best practices

Qualification

Data engineeringETL/ELT developmentSQL proficiencyCloud data platformsData integrationREST/SOAP APIsData quality practicesCuriosityProblem-solvingCollaborationDetail-orientedCommunication

Required

Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered
5+ years of experience in data engineering, data integration, or ETL development, ideally in financial services, consulting, or complex enterprise environments
5+ years of expert-level SQL proficiency, including CTE's, window functions, performance tuning, and data modeling
1+ years of experience integrating with REST and/or SOAP APIs
Strong problem-solving skills and the ability to work across ambiguous, evolving requirements
Experience collaborating closely with technical and non-technical stakeholders
Solid understanding of the Software Development Life Cycle (SDLC) and experience working in Agile delivery environments
Bachelor's degree in computer science, Information Systems, Engineering, or a related field (or equivalent practical experience). Advanced degree or relevant certifications preferred
Advanced SQL expertise across relational and analytical databases
Hands-on experience with cloud data platforms Snowflake and Azure's Fabric
Experience building modern pipelines using tools such as Azure Data Factory, dbt, Microsoft Fabric, or equivalent ELT/ETL technologies
Proficiency in Python (or similar languages such as Java, R, or C#) for data processing, transformation, and integration
Experience working with SQL and NoSQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Aurora, BigQuery, Presto)
Exposure to Azure data services (e.g., Azure SQL, Databricks, MLflow) or equivalent cloud-native tooling
Familiarity with CI/CD and DevOps practices, including exposure to Azure DevOps (ADO) or similar platforms
Understanding of data quality practices, logging, monitoring, and operational support

Preferred

Experience with Talend and familiarity with Power BI for downstream consumption is preferred (major plus)
Bonus: Exposure to event-driven architectures, streaming data, or AI/ML data enablement

Company

Customers Bank

twittertwittertwitter
company-logo
Customers Bank offers commercial, consumer, and specialty banking services.

Funding

Current Stage
Public Company
Total Funding
$357.95M
2025-09-03Post Ipo Equity· $150M
2019-12-10Post Ipo Debt· $74.75M
2014-12-30IPO

Leadership Team

leader-logo
Philip Watkins
Chief Financial Officer
linkedin
leader-logo
Robert Fischer
Senior Vice President, Regional Chief Lending Officer
linkedin
Company data provided by crunchbase