Data Engineer

Octave Technologies Corporation; Baltimore (MD); Híbrido; USD 110 000 - 165 000; Tempo integral

Resumo da oferta

Octave Technologies Corporation seeks a Data Engineer for a mission-critical CMS program. You will build cloud-based data solutions, develop RESTful APIs, and orchestrate data pipelines with Snowflake, ETL/ELT, and AWS services. Hybrid on-site work in Baltimore, MD is required.

You’ll collaborate across product, analytics, and platform teams in an Agile environment. The role emphasizes end-to-end lifecycle involvement, from design through production support, with a focus on reliable, scalable

Qualificações

• 8+ years of relevant experience with a Bachelor’s degree, or 6+ years with a Master’s degree.
• Experience building full stack applications using modern development frameworks, relational databases, and RESTful APIs.
• Hands-on experience designing, building, and maintaining ETL/ELT pipelines and data integration workflows.

Responsabilidades

• Build, test, maintain, and enhance full stack applications and data solutions across the front end, back end, and database layers.
• Develop and consume RESTful APIs to support integration between applications, data platforms, and enterprise systems.
• Build and maintain ETL/ELT data pipelines to support batch and near-real-time data processing, and implement data transformation workflows.

Conhecimentos

Full stack development

RESTful APIs

SQL

Python

AWS cloud services

Agile collaboration

Communication

Formação académica

Bachelor’s degree in Computer Science or related field

Ferramentas

Snowflake

Apache Airflow

ETL/ELT pipelines

AWS S3 / cloud services

Descrição da oferta de emprego

Every day, healthcare providers across the country navigate systems that are supposed to make care better, faster, and more affordable - and too often don't. Behind every claim, every quality measure, every interoperability standard is a doctor trying to treat a patient, a clinic trying to stay open, a family trying to understand their options.

We have partnered with the U.S. government to fix that. We're looking for a Data Engineer who is ready to bring those hard-won skills to a mission-critical program at the Centers for Medicare & Medicaid Services (CMS).

This role is for someone bold enough to challenge outdated assumptions, talented enough to translate complex healthcare operations into systems that actually work, and motivated by the simple fact that better healthcare IT means better digital experience for millions of people.

Position Summary:

We’re looking for a Data Engineer to help build, enhance, and support cloud-based applications and data solutions across the front end, back end, and database layers. Working closely with engineers, product stakeholders, and cross-functional partners, this person will turn business requirements into reliable, well-tested solutions; build and integrate RESTful APIs; and develop data pipelines and application workflows that support analytics and operational use cases.

The engineer will contribute across the software development lifecycle, including technical design, coding, testing, deployment, and production support, with a strong emphasis on Snowflake, ETL development, Apache Airflow orchestration, and AWS-based services. This role includes building and maintaining data integrations, supporting cloud deployments, improving data workflows, and helping ensure applications and pipelines are reliable, maintainable, and aligned with business needs.

Work Location: Baltimore, MD. This position is hybrid, and candidates must be able to work on-site as needed.

Responsibilities:

• Build, test, maintain, and enhance full stack applications and data solutions across the front end, back end, and database layers.
• Contribute across the software development lifecycle, including requirements analysis, technical design, implementation, testing, deployment, and production support.
• Develop and consume RESTful APIs to support integration between applications, data platforms, and enterprise systems.
• Build and maintain ETL/ELT data pipelines to support batch and near-real-time data processing, and implement data transformation workflows that are performant and maintainable.
• Develop and support data models, transformations, and workflows in Snowflake to enable scalable and efficient data processing.
• Use Apache Airflow to orchestrate, schedule, monitor, and troubleshoot data pipelines and automated workflows.
• Collaborate with infrastructure and application teams to deploy, support, and improve solutions in AWS.
• Implement application and data pipeline features that integrate with relational databases and AWS services such as S3 and related cloud resources.
• Partners with Cloud Engineering, DevSecOps, and application teams to implement infrastructure as code (IaC) and CI/CD pipelines for Snowflake objects and deployments
• Monitor and troubleshoot application, pipeline, and integration issues in development and production environments, and document root cause and resolution steps.
• Work with cross-functional teams in an Agile environment to deliver application and data solutions that support business and user needs.

Requirements:

• US citizen or Authorized to Work and lived in the US for 3 of the last 5 years. Must be able to obtain a U.S. Federal government client badge and pass a government Public Trust.
• Requires a minimum of eight (8) years of relevant experience with a Bachelor’s degree, or a Master’s degree with at least six (6) years of experience. Four (4) years of specialized experience may be substituted for a Bachelor’s degree.
• Experience building full stack applications using modern development frameworks, relational databases, and RESTful APIs.
• Experience with SQL and Python for application development, data processing, and integration tasks.
• Hands‑on experience designing, building, and maintaining ETL/ELT pipelines and data integration workflows.
• Experience with Snowflake for data modeling, transformation, and query optimization.
• Experience using Apache Airflow for workflow orchestration, scheduling, and monitoring.
• Experience supporting cloud-based applications and data solutions in AWS, including deployment, monitoring, and troubleshooting.
• Strong communication skills and experience collaborating with analytics, application, and platform teams in an Agile environment.
• Hands‑on experience or extensive training in Big Data platforms and large and complex data sets is preferred.
• Familiarity with Artificial Intelligence (AI) is preferred.
• Familiarity with DevSecOps practices, including secure development, access controls, and auditability is preferred.
• Familiarity with SAS is a plus.
• Prior experience with Center for Medicare Medicaid Services or other government agencies is preferred.