Data Engineer

Municipal Credit Union

Data Engineer responsible for building robust data pipelines and supporting enterprise analytics at Municipal Credit Union. Ensuring data quality and integration for business needs.

Posted 7/21/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $106,300 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in integrating and transforming data from various sources, with expertise in SQL, data pipeline tools, and data quality management in cloud environments. Strong experience in data modeling, validation techniques, and optimizing data flows for efficiency and reliability.

Highest-signal resume keywords

SQL ProficiencyData Pipeline ToolsData Quality ExpertiseETL ProcessesData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData CleansingData TransformationData ValidationData WarehousingData PipelinesData ModelsBig DataCloud EnvironmentsData Quality Frameworks

Soft Skills

Communication Skills

Tools & Technologies

Azure Data FactoryAzure SynapseAzure Cosmos DBAzure DevOpsCI/CD Pipelines

Industry Keywords

Enterprise Data LakeData HubsQA MethodologiesAgileScrum

Tech Stack

Tools & technologies

AzureCloudETLSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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