Software Engineer, Data Platform
Fint Solutions Inc.
United States
22 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Amazon Web Services
Data Analysis
Automation of Tests
C Sharp (Programming Language)
Cloud Computing
Computer Programming
Continuous Integration
Data Infrastructure
Data Systems
+34 more
Relational Databases
Distributed Systems
Python (Programming Language)
Machine Learning
Enterprise Messaging Systems
Software Architecture
Software Engineering
SQL Databases
Data Streaming
TypeScript
Web Applications
Datadog
AWS Cdk
Snowflake
Grafana
Apache Spark
Backend
Cloudformation
Kotlin
Event Driven Architecture
Data Lakes
Kubernetes
Apache Flink
AWS Glue
Apache Kafka
Graphql
Data Management
Machine Learning Operations
Cloudwatch
Terraform
Docker
Databricks
Golang
Microservices
Job description
Seeking a Senior Software Engineer, Data Platform with strong software engineering expertise and experience in data platforms, analytics, and cloud technologies. This role focuses on designing, developing, deploying, and supporting production-grade applications and data products. The ideal candidate will have hands-on experience with backend development, APIs, microservices, event-driven architectures, AWS cloud services, CI/CD, and modern data technologies.
Requirements
- 8+ years of software engineering experience
- Strong programming skills in Python, Java, TypeScript/JavaScript, C#, Go, or Kotlin
- Experience building REST/GraphQL APIs, backend services, and web applications
- Hands-on experience with AWS, CI/CD, Docker, Kubernetes, ECS, or Lambda
- Strong understanding of microservices, distributed systems, and software architecture
- Experience with Kafka, messaging systems, event-driven architectures, or streaming platforms
- Expertise in SQL, relational databases, and data modeling
- Experience with automated testing and production support
Preferred Skills
- Spark, Flink, AWS Glue, dbt, Snowflake, Databricks, Iceberg, Athena, Dremio
- Terraform, CloudFormation, AWS CDK
- Observability tools such as Datadog, Grafana, CloudWatch, OpenTelemetry
- Machine Learning, MLOps, GenAI integration
- Data Platform, Data Mesh, and Data Lake/Warehouse experience
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