Senior Data Integration Engineer – Hybrid NYC

Synechron; New York (NY); Hybrid; USD 140,000 - 155,000; Full time

Benefits offered by this job

Comprehensive insurance plan including

Retirement savings plans

On-demand Udemy for Business

Extensive training opportunities

Coaching opportunities with FinLabs/Co

Job summary

Synechron is seeking a senior data integration engineering leader in New York City. You will design, develop, and support scalable data solutions for Counterparty Credit Risk and Exposure Management, integrating complex trading, derivatives, collateral, and market data to support risk analytics and regulatory reporting.

The role requires hands-on expertise in Python, SQL, Databricks, PySpark, and cloud data platforms, with a focus on platform modernization, automation, and data quality in a

Qualifications

• 10+ years of IT experience
• Strong Python and advanced SQL for data transformation and analytics
• Hands-on experience with SQL, stored procedures
• Experience in data engineering, data integration in financial services
• Hands-on experience with Databricks and PySpark for large-scale processing
• Experience designing Databricks environments including Medallion Architecture, Workflows and orchestration
• Experience operating global distributed offshore teams in regulated environments
• Experience with cloud computing incl. Azure, Azure Data Lake, Azure Data Factory, Kafka, Spark-based computing
• Experience implementing CI/CD pipelines using Jenkins, GitLab CI, Azure DevOps, or similar tools
• Familiarity with regulatory risk data principles, aggregation, reconciliation, auditability

Responsibilities

• Design, develop, maintain, and optimize scalable data pipelines ingesting counterparty, trade, collateral, market, and exposure data
• Build ETL/ELT solutions for structured and semi-structured data across batch and streaming environments
• Leverage data platforms including data lakes, data warehouses, Databricks, Spark, and distributed processing frameworks
• Integrate trading and derivatives data into CCR calculation, analytics, and reporting platforms
• Develop and maintain data models, data lineage, technical documentation, and implementation standards
• Lead data platform migrations and modernization initiatives using Agile practices
• Collaborate with Exposure Management, Counterparty Credit Risk, Risk Analytics, and Technology teams
• Implement data quality checks, reconciliation, exception management, and monitoring
• Establish and maintain data governance, metadata, lineage, and auditability

Skills

Python

Advanced SQL

Data transformation

Data analytics

Cloud data platforms

Databricks

PySpark

Data integration

Tools

Databricks

PySpark

Airflow

Azure Data Lake

Azure Data Factory

Kafka

Jenkins

GitLab CI

Azure DevOps

Job description

Synechron is seeking a senior data integration engineering leader in New York City. You will design, develop, and support scalable data solutions for Counterparty Credit Risk and Exposure Management, integrating complex trading, derivatives, collateral, and market data to support risk analytics and regulatory reporting.

The role requires hands-on expertise in Python, SQL, Databricks, PySpark, and cloud data platforms, with a focus on platform modernization, automation, and data quality in a