Position Details

Salary $95K – $139K USD / year

Type Full-Time

Experience mid

Exp. Years 4+ years

Education Bachelor's in Computer Science or related field

Category Data & Analytics

About this role

This role involves designing and maintaining scalable data pipelines and backend services in a hybrid work environment, primarily using Java, cloud services, and container orchestration tools.

Key Responsibilities

Design data pipelines
Develop backend services
Implement CI/CD pipelines
Manage cloud infrastructure
Collaborate with cross-functional teams

Technical Overview

The technical environment includes Java with Quarkus and Spring Boot, Kafka, Azure cloud platform, Kubernetes, Terraform, and observability tools like Prometheus and Datadog.

Ideal Candidate

The ideal candidate is a mid-level data engineer with at least 4 years of experience in Java development, cloud environments, and data pipeline construction. They should be proficient in containerization, infrastructure automation, and observability tools, with a strong ability to collaborate across teams.

Must-Have Skills

Bachelor's degree in Computer ScienceSoftware EngineeringInformation Systemsor related field4+ years of software or data engineering experienceProficiency in JavaExperience with Quarkus and Spring BootBuilding and consuming REST APIsKnowledge of Kafka or Azure Event HubExperience with PostgreSQLAzure cloud servicesImplementing CI/CD pipelinesTerraformObservability tools such as Prometheus and DatadogContainerization technologies such as Docker and Kubernetes

Nice-to-Have Skills

Azure platform servicesEmail marketing platformsCustomer communication workflows

Tools & Platforms

AzureAzure Kubernetes ServiceGitHubTerraformDatadogPrometheusDatabricksDockerKubernetes

Required Skills

JavaQuarkusSpring BootREST APIsKafkaAzure Event HubPostgreSQLAzure Kubernetes ServiceAKSGitHub ActionsArgoCDTerraformPrometheusDatadogDatabricksDockerKubernetes

Hard Skills

JavaJava developmentQuarkusSpring BootREST APIsKafkaAzure Event HubPostgreSQLAzure Kubernetes ServiceAKSGitHub ActionsArgoCDTerraformPrometheusDatadogDatabricksDockerKubernetes

Soft Skills

collaborationrequirements gatheringtechnical implementationproblem-solvingscalabilityreliability

Industry & Role

Industry Technology

Job Function Developing and maintaining scalable data engineering solutions in a cloud environment

Role Subtype Data Engineer

Tech Domains Java, Azure, Kubernetes, Terraform, PostgreSQL, Databricks, Docker, Kafka, Prometheus, Datadog

Keywords for Your Resume

Data EngineerJavaQuarkusSpring BootREST APIsKafkaAzure Event HubPostgreSQLAzure Kubernetes ServiceAKSTerraformGitHub ActionsArgoCDDatabricksPrometheusDatadogDockerKubernetesAzure

Deal Breakers

Lack of experience with Java or Quarkus, No cloud or containerization experience, Less than 4 years of relevant experience, No experience with PostgreSQL or Kubernetes

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