Data Engineer

Climate First Bank

10h•Remote

About The Position

At Climate First Bank, we’re redefining what banking can be. As a Florida Benefit Corporation and FDIC-insured commercial bank, we offer a full suite of personal and business services—including solar, residential, commercial, ESOP Banking, Structured Finance and SBA loans—all designed to power a better future. We’re proud to be a Certified B Corporation, a member of 1% for the Planet, and part of the Global Alliance for Banking on Values (GABV), reflecting our deep commitment to sustainability, transparency, and ethical banking. With branches in St. Petersburg, Winter Park, Mount Dora, and a growing digital presence, we’re proving that banking can be a force for good. We don’t just support environmental and social causes—we’re built on them. Under our Holding Company, Climate First Bancorp, we are also powered by OneEthos. OneEthos operates at the intersection of fintech and traditional banking to expand access to inclusive, values-driven financial services. Regulated by the Federal Reserve Bank, it equips Community Banks, Credit Unions, CDFIs, and Green Banks with ethical lending tools—especially in climate finance and solar lending. 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.

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.
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 (take charge of work product, pride in delivering consistently great and measurable results, solve problems efficiently, seek operational efficiencies, analytical thinker with a strong focus on data-driven decision making, thrives in a high-pace and high-expectation environment).
Master Communicator (communicate with confidence, precision, and professionalism, listen deeply, respond thoughtfully, engage efficiently and tactfully with stakeholders at all levels, build relationships and develop business with strong influencing and decision-making skills).
Banking & Fintech Acumen (highly educated in financial products and services, applicable regulations and laws, strong overall business acumen, ability to interpret financial reports and legal documents, strong knowledge of unique industries and markets, broad knowledge of business banking products and services).
Tech-Forward and Analytical Thinking (learn new tools quickly, excited by innovation, leverage technology to optimize work product and streamline creative process).
Commitment to Being a Team Player (lift others up, share ideas, bring positive energy, operate as part of a larger team, contribute to the big picture, dependable, communicate clearly, happy to lend a hand where needed).

Nice To Haves

Banking or financial services industry experience

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.

Benefits

Annual bonus
Incentives
Equity
100% employer-paid health coverage for employees
Employer contribution for dependents for health coverage
Medical Insurance
Dental Insurance
Vision Insurance
Health Savings Account (HSA)
Free Telemedicine access via Teladoc
401(k) with 6% Employer Match
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
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-Term Disability Insurance
Long-Term Disability Insurance
Voluntary Life Coverage
Voluntary Accident Coverage
Voluntary Critical Illness Coverage
Employee Assistance Program (EAP) with free counseling, legal, and financial services