Senior Data Engineer with Credit Risk

Synechron
New York
Workplace: OnsiteFull timeUSD 130,000 - 150,000 annuallyFunction: Banking, Lending & CreditExperience: 12-15 yearsSkills: ["Communication","Collaboration","Proactive","Continuous improvement","Self-starter attitude"]

Design and deliver batch and ad-hoc data pipelines for credit risk use cases, using Medallion Lakehouse patterns in Azure Databricks and cloud data engineering best practices. Build ingestion flows from upstream systems into object storage with Parquet features, integrate with external XVA/risk engines, and orchestrate long-running computations. Optimize risk measures for efficient consumption by BI tools, notebooks, and downstream applications while ensuring reliability, observability, security, and API quality.

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FursaFursa
Synechron
Synechron
2 months ago

Senior Data Engineer with Credit Risk

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 38 days agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Design and deliver batch and ad-hoc data pipelines for credit risk use cases, using Medallion Lakehouse patterns in Azure Databricks and cloud data engineering best practices. Build ingestion flows from upstream systems into object storage with Parquet features, integrate with external XVA/risk engines, and orchestrate long-running computations. Optimize risk measures for efficient consumption by BI tools, notebooks, and downstream applications while ensuring reliability, observability, security, and API quality.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Banking, Lending & Credit
Seniority: Mid level

Key Responsibilities

  • •Lead architecture and technical design discussions for the Credit Risk application team.
  • •Resolve complex production issues and support production operations as a senior developer.
  • •Design and implement batch and ad-hoc data pipelines using Medallion Lakehouse patterns in Azure Databricks.
  • •Build ingestion flows from upstream systems into object storage (e.g., S3, ADLS) using Parquet, including partitioning, z-ordering, and schema evolution.
  • •Integrate with external XVA/risk engines, model risk measures for downstream consumption, and help ensure reliability, observability, security, and auditability.

Pay and Benefits

Salary: USD 130,000 - 150,000 annually
Perks:MedicalDentalVisionLife InsuranceDisabilityRetirement SavingsPaid Leave

Key Requirements

  • •12-15 years of experience as an application developer.
  • •AWS Certified Cloud Practitioner (or an equivalent cloud certification; level to be confirmed).
  • •Proficiency in REST API development using frameworks such as Django, Flask, or FastAPI (or similar).
  • •Expert-level Python experience, including PySpark/Spark for data engineering and analytics.
  • •Hands-on experience with Azure Databricks and Medallion Lakehouse architecture.
Experience:12-15 yearsCredit riskCounterparty risk
Education:
Skills:CommunicationCollaborationProactiveContinuous improvementSelf-starter attitude
Certifications:AWS Certified Cloud Practitioner
Tech Stack:PythonPySparkSparkAzure DatabricksMedallion LakehouseDatabricksS3ADLSParquetZ-orderingSchema evolutionRESTDjangoFlaskFastAPISQLCI/CDGitJenkinsAzure DevOps

Company Brief

Synechron
Provides digital, technology, and consulting services to financial services and insurance firms, focusing on digital transformation, data & analytics, blockchain, and emerging technologies to drive business innovation and operational efficiency.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: New York, United States
Founded: 2001
WebsiteLinkedIn