Senior Data Engineer
argyle infotechDallas (TX)
About the role
Senior Data Engineer
Location: Dallas, TX and San Ramon, CA and New York city, NY (Remote option is available)
Our rate: $55 on C2C / $50 on W2Customer – Centene We are seeking an experienced Senior Developer to support the project initiative. The ideal candidate will have strong hands-on experience developing cloud-native, configuration-driven, event-based, and data-processing solutions using AWS, Kafka, Python, and Java. This role requires the ability to design scalable data pipelines, configurable business-rule frameworks, APIs, microservices, and containerized applications while ensuring performance, reliability, observability, and maintainability.
Key Responsibilities:
- Design, develop, and maintain scalable components for the PISCES HUB platform.
- Build AWS-based data pipelines, event-driven workflows, APIs, microservices, and integration services. Develop Kafka producers and consumers, including appropriate topic, partitioning, schema, offset-management, retry, and error-handling strategies.
- Design and implement configuration-driven systems, including: Metadata-driven pipelines and workflowsDynamic business-rule engines
- Configurable APIs and data-integration frameworksTemplate-based code-generation solutions
- Parameterized services and reusable components
- Design and optimize configuration interpreters using JSON, YAML, and XML.Implement configuration validation, versioning, auditing, rollback, backward compatibility, and error-handling capabilities.
- Develop high-quality, reusable, and maintainable software using Python and/or Java.
- Design SQL and NoSQL data models for storing, retrieving, auditing, and versioning business rules and system configurations.
- Build and integrate solutions using Amazon EKS, AWS Lambda, Amazon ECS, Amazon S3, Amazon RDS, and Amazon DynamoDB.Develop REST APIs, asynchronous services, batch-processing components, and event-based integrations.
- Implement automated unit, integration, component, and contract testing.
- Integrate application components with CI/CD pipelines and GitOps deployment workflows.
- Build, package, and deploy applications using Docker and Kubernetes.
- Implement application logging, monitoring, distributed tracing, dashboards, and alerting using Dynatrace.
- Troubleshoot production issues and perform root-cause analysis across application, integration, data, and infrastructure layers.
- Conduct code reviews and enforce engineering, security, performance, and maintainability standards.
- Collaborate with architects, product owners, quality analysts, data engineers, DevOps engineers, and other developers.
- Use Windsurf and other AI-assisted engineering tools to accelerate development, refactoring, automated testing, troubleshooting, and technical documentation.
Required:
- Technical SkillsStrong proficiency in Python or Java; hands-on experience with both is preferred.
- Strong experience developing AWS-based pipelines and cloud-native applications.
- Hands-on experience with Apache Kafka and event-driven architectures.
- Proven experience building: Metadata-driven pipelines and workflowsDynamic business-rule engines
- Configuration-driven applications
- Configurable API and data-integration frameworksTemplate-based code-generation frameworks
- Parameterized and reusable services
- Strong experience designing and optimizing JSON-, YAML-, and XML-based configuration interpreters.
- Strong understanding of configuration schemas, validation, versioning, auditability, backward compatibility, and rollback.
- Strong knowledge of SQL and NoSQL database modeling.
- Experience designing data models for business rules, metadata, configuration versioning, and audit history.
- Hands-on experience with: Amazon EKSAWS LambdaAmazon ECSAmazon S3Amazon RDSAmazon DynamoDBStrong understanding of REST APIs, microservices, asynchronous processing, and distributed systems. Experience with CI/CD pipelines, Git, and GitOps practices.
- Hands-on experience with Docker, Kubernetes, and container orchestration.
- Strong working knowledge of Dynatrace for observability, monitoring, performance analysis, and troubleshooting.
- Working knowledge of Windsurf or similar AI-assisted development tools.
Preferred
Qualifications:
Experience developing high-volume, fault-tolerant, distributed platforms.
Experience with Kafka schema management and serialization formats such as Avro, JSON, or Protobuf.
Knowledge of data lineage, schema evolution, data contracts, and data-quality controls.
Experience with infrastructure-as-code and deployment tools such as Terraform, Helm, Argo CD, or equivalent technologies. Familiarity with design patterns for retry management, dead-letter queues, idempotency, caching, and fault tolerance.
Experience implementing secure APIs and cloud services using authentication, authorization, encryption, and secrets-management practices. AWS Developer, AWS Solutions Architect, Kubernetes, Java, or Python certifications are an advantage.
Key Competencies:
Strong software-design and problem-solving abilities.
Ability to translate business requirements into configurable and reusable technical solutions.
Strong understanding of scalable and resilient distributed-system design.
Effective debugging and root-cause-analysis skills. Commitment to clean code, automated testing, documentation, and engineering standards.
Ability to work independently and mentor junior developers.
Strong collaboration and communication skills. Ability to deliver effectively within an Agile product-engineering environment.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.