Hybrid: Yes, 3 days onsite
Convert/Visa: Possible right to hire - unable to sponsor.
Interview: Onsite
Must Haves:
- Financial services experience
- Data pipeline development
- Databricks/Delta Lake
- Master Data Management (MDM)(Golden Source) integration
- Strong SQL and data engineering skills
- Oracle to Cloud migration experience
- Data quality and reconciliation
Data Engineer
We are seeking a hands-on Data Engineer with strong experience in building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud-based data platforms, modern data engineering practices, and large-scale data integration initiatives supporting operational, analytical, and regulatory data needs.
This role requires strong technical capabilities in data pipeline development, cloud data processing, Master Data Management (MDM), and enterprise data integration. The candidate should be comfortable working across complex distributed environments and partnering with architecture, analytics, governance, and business teams to deliver reliable, secure, and scalable data solutions.
Key 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/ELT processes for structured, semi-structured, and unstructured data sources.
• Support Master Data Management (MDM) 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.
Required Skills & Experience:
• 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.
• Hands-on expertise with:
• Strong SQL expertise along with programming/scripting experience in Python, PySpark, or Snowpark.
• Experience with dbt (Data Build Tool) for:
o Data transformation and modeling
o ELT pipeline development within Snowflake/Databricks
o Modular, reusable SQL-based data workflows
o 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 (MDM) and enterprise data governance initiatives.
• Familiarity with metadata management, data lineage, data cataloging, and data quality processes.
• Experience integrating diverse data sources, including:
o APIs and microservices
o File-based ingestion (batch)
o Real-time/streaming data (e.g., Kafka, Spark Streaming)
• Knowledge of performance tuning, cost optimization, and scalability techniques across both Spark-based and Snowflake environments.
• Understanding of enterprise security, compliance, and governance standards, including RBAC, data masking, and encryption.
• Experience working in Agile and DevOps environments, including CI/CD for data pipelines.
Preferred Qualifications:
• Financial Services or Banking industry experience preferred.
• 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
Estimated Min Rate: $56.00
Estimated Max Rate: $80.00
What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- 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
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. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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