Jobs via Dice · 8 hours ago
Software Engineer
Dice is the leading career destination for tech experts at every stage of their careers, and they are seeking a seasoned Staff Software Engineer to join Centurion Consulting Group, LLC. This role involves leading and mentoring data engineers, designing scalable data architectures, and collaborating with cross-functional teams to enhance data management and integration across platforms.
Computer Software
Responsibilities
Lead and mentor data engineers and related roles, promoting a culture of technical excellence and collaboration
Identify and own enterprise-wide data architecture technical solutions, ensuring alignment with business growth and emerging technologies
Design, build, and evolve scalable data architectures and pipelines with a focus on simplicity, performance, and reliability
Develop and optimize ETL/ELT processes, data flows, and infrastructure leveraging AWS, SQL, and platforms such as Databricks, Redshift, Hadoop and Airflow
Assemble and manage large, complex datasets to meet functional and non-functional business requirements
Implement best practices in data quality, profiling, anomaly detection, and performance monitoring
Deliver analytical tools and data products that provide actionable insights into business performance and customer behavior
Partner with cross-functional teams—including engineers, analysts, data scientists, product, and government stakeholders—to address data challenges
Drive process improvements to enhance scalability, automation, and developer productivity
Promote engineering best practices through testing, CI/CD, Infrastructure as Code, and code reviews
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, Data Science, Statistics, or related technical field
Minimum 10 years of relevant experience in software engineering
Minimum 2 years working in large scale Databricks implementation
Proficiency in at least one of the following languages: Python, TypeScript or JavaScript
Proven experience working on large-scale system architectures and Petabyte-level data systems
Experience with cloud-native data tools and architectures (e.g., Redshift, Glue, Airflow, Apache Spark)
Proficient in automated testing frameworks (PyTest, Playwright or Jest) and testing best practices
Experience developing, testing, and securing RESTful and GraphQL APIs
Proven track record with AWS cloud architecture, including networking, security, and service orchestration
Experience with containerization and deployment using Docker, and infrastructure automation with Kubernetes and Terraform/Terragrunt
Proficiency with Git, Git-based workflows, and release pipelines using GitHub Actions and CI/CD platforms
Knowledge of performance monitoring tools like Grafana, Prometheus, and Sentry
Comfortable working in a tightly integrated Agile team (10 or fewer people)
Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders
Preferred
Deep knowledge of working with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB)
Knowledge of event-driven architectures and systems like Kafka, Kinesis or RabbitMQ
Familiarity with Redis for caching or message queuing
Familiarity with data mesh principles, domain-oriented architectures and experience connecting data domains securely
Experience working with authentication/authorization frameworks like OAuth, SAML, Okta, Active Directory, and AWS IAM (ABAC)
Experience exploring or building ETL pipelines and data ingestion workflows
Experience with modern frameworks such as React.js, Next.js, Node.js, Flask
Strong grasp of access control, identity management, and federated data governance
CMS and Healthcare Expertise: In-depth knowledge of CMS regulations and experience with complex healthcare projects; in particular, data infrastructure related projects or similar
Company
Jobs via Dice
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Funding
Current Stage
Early StageCompany data provided by crunchbase