Data Engineer - Junior Conshohocken Hybrid Job at Bing Recruitment, Conshohocken, PA

  • Bing Recruitment
  • Conshohocken, PA

Job Description

Job Description

Job Description

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.

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