Data Platform Software Engineer
SS&C
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