Data Engineer

🕒 July 21

🗽 New York – Remote

🗽 New York – Remote

💵 $106.3k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Municipal Credit Union

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1916

🛡️ Insurance

⚖️ Legal

🏦 Banking

Insurance • Legal • Banking

Municipal Credit Union is a not-for-profit financial institution dedicated to serving the banking and lending needs of its members in New York City. Offering a range of personal banking products including checking and savings accounts, loans, credit cards, and insurance services, MCU focuses on helping its members achieve their financial goals through competitive rates and personalized support. With over 100 years of service, MCU emphasizes community engagement and the fulfillment of financial needs of local municipal workers and their families.

📋 Description

• Integrate data sets from various source systems into unified formats • Perform ELT (Extract, Load, Transform) operations • Cleanse and transform data by applying business rules • Conduct data cleansing and validation • Monitor and troubleshoot data issues • Create and maintain conceptual, logical, and physical data models • Build and maintain data pipelines • Load processed data into analytical data stores • Monitor the performance and quality of data transfers • Integrate test suites into CI/CD pipelines • Optimize data flows for efficiency, scalability, and reliability • Collaborate with team members to gather requirements

🎯 Requirements

• Bachelor’s degree in information systems, Computer Science, Engineering, or related field, or equivalent combination of education and training • 6-8 years of experience • Proficiency in SQL and data pipeline tools (e.g., Fabric, Azure Data Factory) • Expertise in data quality in a Big Data environment in cloud for Enterprise Data Lake (Azure or similar), Data Warehouse (Azure Synapse or similar), and Data Hubs (Azure Cosmos DB or similar) • Strong understanding of ETL processes and data warehousing concepts • Experience with DevOps toolset (Azure DevOps or similar) • Familiarity with QA methodologies (e.g., Agile, Scrum) • Excellent verbal and written communication skills • Experience with data modeling and metadata management • Familiarity with data quality frameworks and validation techniques

🏖️ Benefits

• Medical, vision, dental, life, and disability insurance • 401(k) with a 6% employer match per pay period • Flexible paid time off • 11 paid holidays annually