Data Engineer

Climate First Bank is redefining banking with a focus on sustainability and ethical practices. They are seeking a Data Engineer to lead the design, development, and optimization of enterprise data solutions, building robust data pipelines and enabling advanced analytics across the organization.

Responsibilities:

• 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
• 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
• 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

Requirements:

• 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
• Entrepreneurial Self-Starter Mentality - You take charge of your work product and take pride in delivering consistently great and measurable results. You solve problems efficiently, seek operational efficiencies and are an analytical thinker with a strong focus on data-driven decision making. A high-pace and high-expectation environment excites you and you can't wait to push yourself to new professional heights in a company that rewards high performance
• Master Communicator - Whether it's in-person, on camera, phone, or chat — you communicate with confidence, precision, and professionalism. You listen deeply and respond thoughtfully and are able to engage efficiently and tactfully with stakeholders at all levels of the organization. Additionally, you masterfully build relationships and develop business with strong influencing and decision-making skills
• Banking & Fintech Acumen- You are highly educated in financial products and services, applicable regulations and laws. You also possess strong overall business acumen and the ability to interpret financial reports and legal documents. Strong knowledge of unique industries and markets in conjunction with a broad knowledge of business banking products and services is required
• Tech-Forward and Analytical Thinking - You learn new tools quickly, are excited by innovation and leverage technology to optimize your work product and streamline your creative process
• Commitment to Being a Team Player - You lift others up, share ideas, and bring positive energy to everything you do. You know what it takes to operate as a part of a larger team and cherish opportunities to contribute to the big picture. You're dependable, communicate clearly and always happy to lend a hand where needed