Data Integration Engineer – Payments & Data Platforms

Synechron; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Global opportunities

Paid annual leave and holidays

Maternity & paternity leave

Comprehensive insurance

Retirement savings plans

Education benefits

Udemy for Business access

Training & coaching programs

Opportunities with tier-one banks

Job summary

Synechron, a global consulting firm, is seeking a Data Integration Engineer with strong enterprise payment systems experience to join a strategic Digital Payments initiative in New York. You will design and optimize data pipelines, work with SQL, Python (Pandas, PySpark), and cloud data platforms (AWS, Snowflake, Redshift), and collaborate across finance and technology teams.

Ideal candidates understand time-series data, data quality and lineage, and streaming/batch processing with Kafka, Spark,

Qualifications

• Understanding of post-trade data flows including allocations, confirmations, settlement, risk, finance, and regulatory reporting.
• Knowledge of securities data modeling and financial data structures including reference data and transactional trade data.
• Understanding of time-series data management and financial market data is a strong plus.
• Strong SQL development skills with experience designing and optimizing relational data models and database schemas.
• Proficiency in Python with data processing frameworks such as Pandas and PySpark.
• Strong understanding of data warehouse, data lake, and Data Lakehouse concepts.
• Experience with large-scale transactional and analytical data platforms.
• Experience with PostgreSQL, SQL Server, Snowflake, Redshift, Databricks, or similar cloud-native technologies.
• Experience with stream and batch data processing technologies such as Kafka, Spark, Flink.
• Experience building batch and streaming data pipelines using Python and SQL.
• Strong understanding of data quality, data lineage, data validation, and reconciliation processes.
• Experience with messaging technologies such as Kafka, RabbitMQ, IBM MQ.
• Familiarity with Datadog, Prometheus, and Grafana for monitoring and observability.
• Understanding of data security, privacy, and regulatory compliance requirements.
• Exposure to data science, machine learning, and AI/GenAI data preparation concepts is a plus.

Skills

SQL

Python (Pandas, PySpark)

Data warehouse concepts

Cloud platforms (AWS)

Streaming/batch processing

Data quality & lineage

Kafka, Spark, Flink

PostgreSQL/SQL Server/Snowflake/Redash

Databricks

Data modeling

Regulatory/compliance awareness

Tools

Datadog

Prometheus

Grafana

Kafka

RabbitMQ

IBM MQ

PostgreSQL

SQL Server

Snowflake

Redshift

Databricks

AWS

Spark

Flink

Pandas

PySpark

Job description

Synechron, a global consulting firm, is seeking a Data Integration Engineer with strong enterprise payment systems experience to join a strategic Digital Payments initiative in New York. You will design and optimize data pipelines, work with SQL, Python (Pandas, PySpark), and cloud data platforms (AWS, Snowflake, Redshift), and collaborate across finance and technology teams.

Ideal candidates understand time-series data, data quality and lineage, and streaming/batch processing with Kafka, Spark,