SS&C

Data Platform Software Engineer

SS&C
US Kansas City, MO, US
Remote 2026-06-27
Estimated salary · Kansas City
~ $79,929 - $142,820
Low
$79K
Median
$111K
High
$142K
Market in Kansas City · BLS OEWS 2025
Estimated net pay
$5,192 - $8,592
/month · 22% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

As a leading financial services and healthcare technology company based on revenue, SS\&C is headquartered in Windsor, Connecticut, and has 27,000\+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid\-market firms, rely on SS\&C for expertise, scale, and technology. **Job Description** **Job Title** : Data Platform Software Engineer **Location** : Kansas City, MO (Remote Eligible) **Company Overview** : SS\&C is a global leader in investment and financial services software, serving over 18,000 organizations worldwide. Headquartered in Windsor, Connecticut, SS\&C is dedicated to driving innovation and client satisfaction across the financial services and healthcare industries. **Job Description** : We are seeking a skilled Data Platform Software Engineer to join our Data Platform team in Kansas City, MO. In this role, you will design, code, implement, support, and optimize a cloud\-native data stack that leverages best\-in\-class open\-source tools. The ideal candidate will design, build, support, and maintain an opinionated, resilient, and scalable data platform in a private cloud environment—enabling data\-driven decision\-making, analytics, and machine learning, while providing out\-of\-the\-box deep insights. This role blends data engineering, software development, and infrastructure management, leveraging languages and tools such as Java, Python, Apache Iceberg, Flink, Spark, Kafka, and Trino. **Core Responsibilities** Data Pipelines * Develop and maintain robust, fault\-tolerant data ingestion and transformation pipelines using Java, Python, Apache Flink, Spark, and Trino. * Define flexible and scalable data schemas using Apache Iceberg. * Support both batch and real\-time data processing, including integration with Apache Kafka. * Ensure reliability, observability, and integrity of data pipelines. Metadata Management \& Data Governance * Support metadat

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