Compliance, Senior Backend Engineer (Java & ETL Specialist), Vice President, Dallas

Location: Dallas, TX, United States

Key Responsibilities

1. Backend & Microservices Development

• Design, develop, and implement scalable, resilient microservices using Java and Spring Boot.
• Apply domain-driven design (DDD) principles to ensure service isolation and maintainability.
• Optimize application performance for low latency and high throughput.

2. ETL & Data Pipeline Engineering

• Architect and maintain complex ETL/ELT workflows utilizing Spring Batch.
• Configure batch components for high-volume data ingestion and intricate transformations.
• Implement advanced batch features, including job partitioning, multi-threaded steps, and custom fault-tolerance policies (skip/retry logic).

3. API Design & Security

• Develop and document RESTful APIs that facilitate seamless data exchange between internal systems and external partners.
• Enforce rigorous security standards using Spring Security, OAuth2, and JWT.
• Ensure high availability and reliability of public-facing and internal endpoints.

4. Messaging & Real-Time Streaming

• Build event-driven architectures using Kafka or RabbitMQ.
• Implement real-time data triggers and stream processing to support asynchronous system communication.

5. Database Management & Optimization

• Demonstrate SQL Mastery by designing efficient schemas and writing complex queries for data analysis.

Perform database performance tuning, indexing strategies, and query optimization to handle large-scale datasets

Required Skills & Qualifications

• Experience: 7 or more years of professional experience in backend software engineering.
• Java Mastery: Deep understanding of Java (8+) and core Spring Framework concepts.
• Spring Ecosystem: Expert-level proficiency in Spring Boot and Spring Batch.
• Data Engineering: Proven track record of building production-grade ETL pipelines.
• Messaging: Hands-on experience with message brokers (Kafka preferred) for distributed systems.
• Database: Advanced knowledge of Relational Databases (PostgreSQL, Oracle, or SQL Server) and complex SQL.
• Security: Solid understanding of API security best practices and web vulnerabilities (OWASP).
• Tools: Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins/GitLab).

Preferred Qualifications

• Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of NoSQL databases (MongoDB, Cassandra).
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.

Java Mastery: Deep understanding of Java (8+) and core Spring Framework concepts. Spring Ecosystem: Expert-level proficiency in Spring Boot and Spring Batch. Data Engineering: Proven track record of building production-grade ETL pipelines. Messaging: Hands-on experience with message brokers (Kafka preferred) for distributed systems. Database: Advanced knowledge of Relational Databases (PostgreSQL, Oracle, or SQL Server) and complex SQL. Security: Solid understanding of API security best practices and web vulnerabilities (OWASP). Tools: Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins/GitLab).