March 16, 2024
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Herndon, VA, Remote
March 16, 2024
Apply NowJob description
We embrace the future of work with 100% remote opportunities across the United States. Join our IT Modernization division, a dynamic information technology and management consulting department that crafts integrated solutions for both public and private-sector clients. Our commitment to excellence, agility, and strategic innovation empowers us to design, build, and operate high-performance IT engines that elevate our clients' businesses.
Position: Data Engineer
As a Data Engineer with our team, you'll leverage a range of full-stack software languages and tools to construct a robust data processing system focused on healthcare data for a prominent Health & Sciences agency. The system, built on Azure infrastructure, seamlessly integrates data from diverse internal and external sources. Your role involves creating new pipelines and scalable, reusable components to drive reporting and analytics data products.
Responsibilities
Write intricate queries to transform raw data into accessible models through coding.
Clean, prepare, transform, and optimize data at scale for seamless integration and consumption.
Implement data management projects and restructure web architecture as needed.
Tackle complex data issues, conducting root cause analyses for proactive issue resolution.
Own the data pipeline and provide support in the event of system failures.
Requirements
Previous experience with any CDC Center, Institute, or Office, or relevant CDC application(s) in scope for modernization.
3+ years of programming experience with Java and/or Kotlin.
3+ years of experience working with Azure cloud native technologies.
2+ years of experience building pipelines for public health/healthcare data (HL7, FHIR, vocabulary, and HHS data standards).
2+ years of experience developing ETL pipelines in Azure using tools such as Azure Data Factory, Event Hubs, Event Grid, and Azure Functions.
2+ years of experience developing data engineering pipelines with Databricks or Spark.
2+ years of experience working in Agile teams.
Familiarity with DevOps processes, CI/CD, security, coding standards, and SDLC cycles.
Preferred
1+ year working with technologies such as CosmoDB, AzureSQL, Redis, Synapse.
1+ year working with orchestration tools such as Airflow or Oozie.
Experience working with streaming and batching solutions.
Experience working with CSV, JSON, XML, and complex data structures.
Join us in shaping the future of IT Modernization and make a significant impact in the dynamic world of data engineering. We value your expertise and commitment to excellence. Apply now and let's innovate together!
Employment Type: Full-Time
Position: Data Engineer
As a Data Engineer with our team, you'll leverage a range of full-stack software languages and tools to construct a robust data processing system focused on healthcare data for a prominent Health & Sciences agency. The system, built on Azure infrastructure, seamlessly integrates data from diverse internal and external sources. Your role involves creating new pipelines and scalable, reusable components to drive reporting and analytics data products.
Responsibilities
Write intricate queries to transform raw data into accessible models through coding.
Clean, prepare, transform, and optimize data at scale for seamless integration and consumption.
Implement data management projects and restructure web architecture as needed.
Tackle complex data issues, conducting root cause analyses for proactive issue resolution.
Own the data pipeline and provide support in the event of system failures.
Requirements
Previous experience with any CDC Center, Institute, or Office, or relevant CDC application(s) in scope for modernization.
3+ years of programming experience with Java and/or Kotlin.
3+ years of experience working with Azure cloud native technologies.
2+ years of experience building pipelines for public health/healthcare data (HL7, FHIR, vocabulary, and HHS data standards).
2+ years of experience developing ETL pipelines in Azure using tools such as Azure Data Factory, Event Hubs, Event Grid, and Azure Functions.
2+ years of experience developing data engineering pipelines with Databricks or Spark.
2+ years of experience working in Agile teams.
Familiarity with DevOps processes, CI/CD, security, coding standards, and SDLC cycles.
Preferred
1+ year working with technologies such as CosmoDB, AzureSQL, Redis, Synapse.
1+ year working with orchestration tools such as Airflow or Oozie.
Experience working with streaming and batching solutions.
Experience working with CSV, JSON, XML, and complex data structures.
Join us in shaping the future of IT Modernization and make a significant impact in the dynamic world of data engineering. We value your expertise and commitment to excellence. Apply now and let's innovate together!
Employment Type: Full-Time
