Data Integration Engineer

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

Benefits offered by this job

Competitive compensation

Hybrid work model

Global exposure

Training opportunities

Job summary

Synechron is seeking a senior data integration engineering leader in New York City to design, develop, and support scalable data solutions for Counterparty Credit Risk and Exposure Management platforms. You will lead data pipelines, ETL/ELT processes, and data governance in a global, hybrid environment.

The role requires deep Python/SQL expertise, Databricks/PySpark experience, and a strong background in financial services data analytics. Competitive compensation and global exposure are offered.

Qualifications

• 10+ years IT experience.
• Strong Python and SQL for data transformation and analytics.
• Hands-on with Databricks and PySpark for large-scale processing.
• Experience in data engineering, data integration, or enterprise data management in financial services.
• Cloud computing experience (Azure) and CI/CD tooling.

Responsibilities

• Design, develop, and maintain 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.
• Utilize data platforms (data lakes, data warehouses, Databricks, Spark) for analytics and reporting.
• Integrate trading and derivatives data into CCR calculation, analytics, and reporting platforms.
• Lead modernization, automation, data quality, and governance initiatives across global teams.

Skills

Python

SQL

Databricks

PySpark

Cloud platforms

Data integration

Counterparty risk

Tools

Airflow

Job description

We are:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron' s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets.

About the Role

We are seeking a senior data Integration engineering leader to design, develop, and support scalable data solutions for Counterparty Credit Risk (CCR) and Exposure Management (EM) platforms. This role will be responsible for integrating complex trading, derivatives, collateral, market, and counterparty data to support risk analytics, regulatory reporting, limit monitoring, stress testing, and intraday analysis.

The successful candidate will combine strong hands‑on expertise in Python, SQL, Databricks, PySpark, cloud data platforms, and data integration with a deep understanding of counterparty credit risk and financial services technology. This position requires a proactive leader who can drive platform modernization, automation, operational resilience, data quality, and continuous improvement across a global technology environment.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $155k/year & benefits (see below).

Work location: New York City, NY (Hybrid, 3 days in a week)

Key Responsibilities

• Design, develop, maintain, and optimize scalable data pipelines that ingest, transform, validate, and integrate counterparty, trade, collateral, market, and exposure data from upstream systems of record.


• Build robust ETL and ELT solutions for structured and semi-structured data across batch and streaming environments.


• Leverage enterprise data platforms, including data lakes, data warehouses, Databricks, Spark, and distributed processing frameworks.


• Integrate trading and derivatives data---including exposures, collateral, netting, and margin---into CCR calculation, analytics, and reporting platforms.


• Develop and maintain data models, data lineage, technical documentation, and implementation standards.


• Lead data platform migrations, modernization initiatives, and strategic engineering projects using Agile delivery practices.


• Partner with Exposure Management, Counterparty Credit Risk, Risk Analytics, Business Analysts, and Technology teams to understand and deliver business requirements.


• Implement data quality checks, reconciliations, exception management, and monitoring to ensure data completeness, accuracy, consistency, and timeliness.


• Establish and maintain effective data governance, control frameworks, metadata, lineage, and auditability.

Required Qualifications

• Overall 10 years of IT experience is required


• Strong programming experience using Python and advanced SQL, with a focus on data transformation, analytics, and enterprise data integration.


• Hands-on experience with SQL, stored procedures


• Experience in data engineering, data integration, or enterprise data management within financial services.


• Hands on experience in supporting risk, exposure, or financial analytics platforms.


• Hands‑on experience with Databricks and PySpark for large‑scale data processing and ETL.


• Experience designing and managing Databricks environments, including Medallion Architecture, Workflows and orchestration


• Experience operating or supporting global, distributed, and offshore‑leveraged teams in a regulated environment.


• Experience with Airflow or Astronomer is a plus.


• Experience with cloud computing and infrastructure, including Azure, Azure Data Lake, Azure Data Factory, Kafka, Spark‑based distributed computing, and other cloud‑native technologies.


• Experience implementing CI/CD pipelines using Jenkins, GitLab CI, Azure DevOps, or comparable tools.


• Familiarity with regulatory risk data principles, including aggregation, reconciliation, traceability, transparency, and auditability.

We offer:

• A highly competitive compensation and benefits package.


• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.


• 10 days of paid annual leave (plus sick leave and national holidays).


• Maternity & paternity leave plans.


• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).


• Retirement savings plans.


• A higher education certification policy.


• Commuter benefits (varies by region).


• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.


• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.


• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.


• Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.


• A flat and approachable organization.


• A truly diverse, fun-loving, and global work culture.

SYNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture -- promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.