Data Engineer

Company Overview

We are a technology-driven financial institution that specializes in partnering with FinTech firms and innovative brands to launch modern financial products. By merging the agility of a startup with the stability of a regulated banking environment, we empower our partners to scale safely across lending, card services, and embedded finance.

The Role

We are seeking a solution-oriented Data Engineer with deep expertise in Azure Synapse, SQL Server, and Power BI. In this role, you will design and deliver end-to-end data solutions that leverage AI and automation to drive business intelligence and operational reporting.

You will act as a bridge between technical execution and business strategy, working directly with internal units to translate complex requirements into scalable data models and actionable insights.

Key Responsibilities

• Data Architecture: Design, develop, and maintain Azure SQL databases, stored procedures, and Azure Synapse ETL pipelines.
• Business Intelligence: Build and manage high-impact Power BI dashboards and reports; oversee Power BI Online Workspaces and data refresh schedules.
• Stakeholder Collaboration: Gather and define project scopes by communicating effectively with cross-functional partners and non-technical audiences.
• Quality & Governance: Ensure data integrity and performance across all platforms; document data models and reporting logic for compliance and internal use.
• Technical Advisory: Provide guidance on data visualization best practices and support ad-hoc analysis requests from various business units.

Required Qualifications

• Experience: 1-3 years in full-stack data development focusing on the Azure stack (Synapse, SQL Server, Power BI).
• Technical Skills: Strong proficiency in T-SQL, data modeling, performance tuning, DAX, and Power Query.
• Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.
• Execution: Proven ability to manage multiple projects simultaneously in a fast-paced environment.

Preferred Qualifications

• Background in financial services (banking or fintech).
• Experience working within Agile/Scrum frameworks and knowledge of DevOps practices.
• Familiarity with Snowflake, Databricks, or Machine Learning (ML) automation tools.

Compensation & Benefits

• Salary Range: $50,000 – $85,000 (commensurate with experience and location).
• Bonus: Eligibility for annual performance bonus programs.
• Benefits: Comprehensive package including Health, Dental, Vision, 401K, and Paid Time Off.