Data Engineer with Financial Services, Databricks and MDM Experience

Yoh, A Day & Zimmermann Company invites you to join a data engineering team in Jersey City, NJ on a hybrid schedule. This role offers a competitive hourly rate of USD 65 to 80 and a benefits-rich environment for professionals working on financial services data. You will design and operate scalable data pipelines, support master data management, and build cloud-native solutions on platforms like Databricks and Snowflake to meet operational, analytical, and regulatory needs. A Bachelor’s degree in Computer Science, Information Systems, or Engineering is required.

Responsibilities

• Design, develop, and support scalable data pipelines and enterprise data integration solutions.
• Build and maintain batch and real-time data ingestion, transformation, and processing frameworks.
• Develop cloud-native data engineering solutions supporting enterprise data lake, warehouse, and lakehouse platforms.
• Implement ETL and ELT processes for structured, semi-structured, and unstructured data sources.
• Support Master Data Management initiatives across security, account, client, and reference data domains.
• Collaborate with data architects, business analysts, governance teams, and application teams to support enterprise data initiatives.
• Implement data quality validation, monitoring, metadata management, and lineage processes.
• Support cloud migration and modernization efforts involving legacy and enterprise data platforms.
• Optimize data processing, storage, and pipeline performance for scalability and operational efficiency.
• Ensure compliance with enterprise security, governance, and regulatory standards within financial services environments.
• Support reporting, analytics, and downstream consumption platforms through reliable and trusted data delivery.

Requirements

• Strong hands-on experience in Data Engineering and enterprise-scale data integration.
• Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions.
• Experience working with modern cloud-based data platforms and data ecosystems.
• Strong SQL expertise along with programming or scripting experience in Python, PySpark, or Snowpark.
• dbt for data transformation and modeling
• dbt for ELT pipeline development within Snowflake/Databricks
• dbt for modular, reusable SQL-based data workflows
• dbt for data testing, documentation, and version control integration
• Experience with cloud platforms such as Azure, AWS, or GCP, including integration with Snowflake and Databricks.
• Solid understanding of data lake, data warehouse, and lakehouse architectures, and their implementation across platforms.
• Experience with orchestration and workflow tools (e.g., Airflow, Databricks Workflows, Snowflake Tasks) for pipeline scheduling and automation.
• Experience supporting Master Data Management and enterprise data governance initiatives.
• Familiarity with metadata management, data lineage, data cataloging, and data quality processes.
• Experience integrating APIs and microservices.
• Experience integrating file-based ingestion (batch).
• Real-time/streaming data experience (e.g., Kafka, Spark Streaming).

Must Haves

• Financial services experience
• Data pipeline development
• Databricks and Delta Lake
• Master Data Management integration (Golden Source)
• Strong SQL and data engineering skills
• Oracle to Cloud migration experience
• Data quality and reconciliation

Preferred Qualifications

• Financial services or banking industry experience
• Experience supporting regulatory, risk, compliance, or operational reporting data environments
• Exposure to real-time data processing and streaming technologies
• Familiarity with CI/CD processes and infrastructure automation
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication and collaboration skills

Education

Bachelor’s degree in Computer Science, Information Systems, or Engineering

Tech Stack

• Databricks, Delta Lake, Snowflake, Snowpark
• Python, PySpark, SQL
• dbt
• Azure, AWS, GCP
• Airflow, Databricks Workflows, Snowflake Tasks
• Kafka, Spark Streaming

Compensation

Estimated rate: USD 65.00 - 80.00 per hour

Benefits

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities