Data Integration Engineer - Payments & Data Pipelines

Synechron; Chicago (IL); On-site; USD 95,000 - 150,000; Full time

Benefits offered by this job

On-demand Udemy for Business for allSy

Coaching with FinLabs & CoE

Extensive training opportunities

Job summary

Synechron is seeking a Data Integration Engineer to join a strategic Digital Payments initiative. You will work with enterprise payment systems, post-trade data flows, and modern Java technologies, while leveraging Python and SQL to build robust data pipelines and data models.

You will collaborate with global teams across our FinLabs and CoE groups, contribute to data quality, governance, and analytics, and help scale large-scale transactional platforms on cloud environments such as AWS.

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. Experience with reference data, security master 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, including data processing frameworks such as Pandas and PySpark.
• Strong understanding of data warehouse, data lake, and Data Lakehouse concepts.
• Experience working with large-scale transactional and analytical data platforms.
• Experience with PostgreSQL, SQL Server, Snowflake, Redshift, Databricks, or similar database and data warehouse technologies on cloud, preferably AWS.
• Experience with stream and batch data processing technologies such as Kafka, Spark, Flink, or similar platforms.
• Experience building batch and streaming data pipelines, including ETL/ELT workflows, using Python and SQL.
• Strong understanding of data quality, data lineage, data validation, and reconciliation processes.
• Experience working with messaging technologies such as Kafka, RabbitMQ, IBM MQ, or similar platforms.
• Familiarity with monitoring and observability tools such as Datadog, Prometheus, and Grafana.
• 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 development

Python (Pandas, PySpark)

Data modeling

Data warehouse concepts

Batch & streaming pipelines

ETL/ELT workflows

Data quality & lineage

Cloud data platforms (AWS)

Messaging systems (Kafka)

Monitoring & observability (Datadog/PG

Tools

PostgreSQL

SQL Server

Snowflake

Redshift

Databricks

Kafka (as a data pipeline tool)

AWS

RabbitMQ/IBM MQ

Job description

Synechron is seeking a Data Integration Engineer to join a strategic Digital Payments initiative. You will work with enterprise payment systems, post-trade data flows, and modern Java technologies, while leveraging Python and SQL to build robust data pipelines and data models.

You will collaborate with global teams across our FinLabs and CoE groups, contribute to data quality, governance, and analytics, and help scale large-scale transactional platforms on cloud environments such as AWS.