Cloud/Data Infrastructure Engineer -- San Antonio, TX -- 67160

One of our clients is looking for a Cloud/Data Infrastructure Engineer to join their team on-site in San Antonio.

Required Skills:

• Extensive Experience with Cloud and Data Platform Infrastructure Engineering
• AWS Cloud based Data Pipelines
• Modern ETL/ELT Tools like Fivetran (Possibly Informatica IDMC)
• Extensive Experience leveraging Infrastructure as Code, Terraform, CI/CD, and Kubernetes
• Knowledge around Watsonx Orchestrate (nice to have)

Type of Position

This is a contract position based in San Antonio and will be working a hybrid schedule 4 days onsite to the San Antonio campus. Strong candidates must demonstrate both technical skill and collaborative mindset-we value curiosity, independence, flexibility, and team orientation.

Project Overview

We are hiring for one Mid-level Cloud Data Engineer to support a cloud-native data platform initiative. The project involves:

• Building and managing AWS cloud-based data pipelines
• Working with streaming platforms like Kafka, Kinesis, or Event Hubs
• Using modern ETL/ELT tools like Fivetran and Informatica's IDMC
• Supporting event-driven architectures and real-time analytics
• Leveraging Infrastructure as Code, CI/CD, and Kubernetes
• Attributes: Candidates should be self-managed in terms of delivering assigned work, meeting company / compliance expectations, curious, can-do attitude, team player, willing to learn, and flexible.

Evaluation Notes

• Mid-level candidates should be independent contributors with hands-on knowledge in multiple domains (AWS Cloud + one of streaming platforms or ETL/ELT tools).
• Preferred Focus: Fivetran, CI/CD, Terraform, watsonx Orchestrate, AWS Cloud Infrastructure

Preferred Qualifications:

• Extensive Experience with Cloud and Data Platform Infrastructure Engineering.
• Extensive experience with event platforms on-prem or Cloud (Kafka, Redpanda, AWS Kinesis, Azure Event Hubs, Google Cloud Platform Pub/Sub), stream processing frameworks (Flink, Spark Streaming, Amazon Kinesis Data Streams, Google Cloud Dataflow ).
• Experience with ETL/ELT tools like Fivetran, and/or Informatica's cloud product, IDMC; demonstrated ability to design, implement, and optimize data pipelines. This includes experience with and automating connector configuration, data transformation, and schema management.
• Understanding of event-driven architectures, CQRS, and event sourcing.
• Proficiency in monitoring and observability tools (Datadog, Prometheus, Grafana, or similar).
• Strong experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation).
• Proven ability to automate tasks and implement CI/CD pipelines.
• Strong problem-solving and communication skills.
• Experience with Kubernetes and container orchestration.
• Experience with various database technologies (SQL and NoSQL)
• Experience in supporting Real-time analytical need.