Hiring: Data Integration Engineers Company: Synechron Location: Chicago, IL Job Posted Time: 2026-09-11 18:07:35 Target Skills & Keywords : AI, AWS, Blockchain, Compliance, Data Lake, Data Lakehouse, Data Pipeline, Data Warehouse, Databricks, Datadog, ELT, ETL, Flink, Grafana, Java, Kafka, Machine Learning, Pandas, Plaid, PostgreSQL, Prometheus, PySpark, Python, RabbitMQ, Redshift, SQL, SQL Server, Snowflake, Spark About the job Experience: •20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. 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. Compensation: •A highly competitive compensation and benefits package. •A multinational organization with 58 offices in 21 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). Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!