Data Engineer

Role Description

We’re looking for a Data Engineer to lead the design, development, and optimization of enterprise data solutions. This role will be responsible for building robust data pipelines, integrating diverse data sources, and enabling advanced analytics and reporting across the organization. The ideal candidate will have deep expertise in Azure data services, building advanced SQL queries, and modern data engineering practices.

What You’ll Contribute as a Data Engineer

• Data Architecture & Integration
  • Design and develop end-to-end data pipelines using Azure Data Factory (ADF), Azure Synapse, Databricks, Logic Apps, etc.
  • Build and optimize ETL/ELT workflows for structured/unstructured data from multiple sources.
  • Implement data models, data lakes, and data warehouses in Azure.
  • Use Azure Databricks for big data transformations & analytics.
  • Optimize SQL queries, stored procedures, & performance tuning in Azure SQL/SQL Server.
  • Integrate streaming & real-time data solutions using Event Hubs, Kafka, or Azure Stream Analytics.
  • Ensure data governance, security, & compliance (RBAC, encryption, monitoring, logging).
  • Implement CI/CD pipelines for data solutions using Azure DevOps, Git, ARM Templates, or Terraform.
• Power BI Ownership and Optimization
  • Lead the architecture & administration of Power BI across the enterprise.
  • Design & implement scalable semantic models that unify data from disparate systems.
  • Author complex DAX measures & calculated columns to support dynamic reporting needs.
  • Optimize DAX queries for performance and scalability across large datasets.
• Champion Our Mission, Protect What Matters
  • Embody a commitment to environmental, social, and economic justice.
  • Partner with internal resources to ensure adherence & promotion of our commitment to sustainability practices & continued carbon neutrality.
  • Ensure compliance with all banking laws, rules, regulations, & prescribed policies/procedures/practices.
  • Remain vigilant regarding suspicious activity and report to necessary channel(s) when necessary.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Finance, or related field.
• 8+ years of overall IT experience with a focus on data engineering; banking or financial services industry a plus.
• Strong expertise in Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Azure Data Lake.
• Hands-on experience with Azure Databricks (PySpark, Python, or Scala); proficiency in Python, Spark, or Scala for data transformations.
• Strong knowledge of SQL, performance tuning, and query optimization.
• Experience with big data platforms and distributed systems.

Requirements

• Entrepreneurial Self-Starter Mentality - You take charge of your work product and take pride in delivering consistently great and measurable results.
• Master Communicator - You communicate with confidence, precision, and professionalism.
• Banking & Fintech Acumen - You are highly educated in financial products and services, applicable regulations and laws.
• Tech-Forward and Analytical Thinking - You learn new tools quickly and leverage technology to optimize your work product.
• Commitment to Being a Team Player - You lift others up, share ideas, and bring positive energy to everything you do.

Benefits

• Compensation - In addition to the base salary, this position may be eligible for an annual bonus, incentives and equity.
• Health Coverage - 100% employer-paid for employees; employer contribution for dependents.
• Medical, Dental & Vision Insurance.
• Health Savings Account (HSA).
• Free Telemedicine access via Teladoc.
• 401(k) with 6% Employer Match - No Vesting Period.
• Employee Stock Options.
• Exclusive Employee Banking Perks.
• 0% Financing for Employee Solar Loans.
• Employee Only Mortgage Product with exclusive interest rates and terms.
• 0% Financing for Eligible Electric Vehicles (EVs).
• Referral Incentives.
• Generous Paid Time Off - 2–4 Weeks of Vacation based on officer level plus additional tenure-based time.
• 64 Hours of Paid Sick Time for all full-time employees.
• Company-Paid Life Insurance.
• Short- & Long-Term Disability Insurance.
• Voluntary Life, Accident & Critical Illness Coverage.
• Employee Assistance Program (EAP) with free counseling, legal, and financial services.