Mdm Finance Jobs

1 job found

1mo ago

Data Engineer with Financial Services, Databricks and MDM Experience

Yoh, A Day & Zimmermann Company Jersey City, NJ

Jersey City, NJ

1mo ago Closed

$65 - $80/hr Full time Cloud Cloud Platform Data Engineer

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Hands-on Data Engineer with Financial Services experience focusing on scalable data pipelines, MDM integration, and cloud platforms such as Databricks and Snowflake.

Responsibilities

Design, build, and sustain scalable data pipelines and enterprise data integration solutions.
Implement batch and real time data ingestion, transformation, and processing frameworks.
Develop cloud native data engineering solutions for data lake, data warehouse, and lakehouse architectures.
Create 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 enable enterprise data programs.
Implement data quality checks, monitoring, metadata management, and data lineage practices.
Assist cloud migration and modernization efforts for legacy and enterprise data platforms.
Optimize data processing, storage, and pipelines for scalability and operational efficiency.
Ensure adherence to security, governance, and regulatory standards within financial services environments.
Support reporting, analytics, and downstream platforms through reliable data delivery.

Requirements

Extensive hands on experience in data engineering and enterprise scale data integration.
Proven track record delivering scalable ETL and ELT pipelines and distributed processing solutions.
Experience with modern cloud based data platforms and ecosystems.
Strong SQL proficiency plus programming or scripting in Python, PySpark, or Snowpark.
dbt for data transformation and modeling
dbt for ELT pipeline development within Snowflake or Databricks
dbt for modular, reusable SQL based data workflows
dbt for data testing, documentation, and version control integration
Experience with Azure, AWS, or GCP and integration with Snowflake and Databricks
Solid understanding of data lake, data warehouse, and lakehouse architectures across platforms
Experience with orchestration and workflow tools such as Airflow, Databricks Workflows, and Snowflake Tasks
Background 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 with batch file-based ingestion
Real time data streaming experience with technologies like Kafka or Spark Streaming

Technologies

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

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

Must Haves

Financial services experience
Data pipeline development
Databricks and Delta Lake expertise
Master Data Management (MDM) integration (Golden Source)
Strong SQL and data engineering capabilities
Oracle to cloud migration experience
Data quality and reconciliation focus

Education

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

Location

Jersey City, NJ (hybrid)

Compensation

Hourly rate: USD 65 - 80
Pay ranges are estimates and depend on experience, skills, and qualifications

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description.

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