Job was saved successfully.
Job was removed from Saved Jobs.

Job Details


Cloud Engineer ( R-00053770 )


Cloud System Engineer



Atlanta, Georgia, United States


Job Description:

Leidos Public Health Division is seeking a Cloud Data Engineer in Atlanta, GA to support our public health data science projects.

Responsibilities include evangelizing data on cloud solutions within the public health division and customers, and leading the design and hands on implementation of the target solution. This role will work with customers and leading other data scientists/analysts in delivering data science solution on cloud. Using Azure/AWS cloud and customer private cloud technologies, our Data Engineer professionals implement state of the art, scalable, high performance Data On Cloud solutions that support the public health mission of our customers. The ideal candidate will have a minimum of 2 years demonstrated experience in developing and delivering cloud based data analytics solutions.

Role & Responsibilities

  • Provide subject matter expertise and hands on delivery of data capture, curation and consumption pipelines on Azure or AWS
  • Ability to build cloud data solutions and provide technical perspective on storage, big data platform services, serverless architectures, hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security
  • Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the cloud platform
  • Conduct full technical discovery, identifying issues, business and technical requirements, “as is” and “to be” scenarios
  • Leading other data analysts/scientists in delivering cloud based data science solutions
  • Stay educated on new and emerging data analytics technologies and methodologies

Basic Qualifications

  • Bachelors or higher degree in Computer Science or a related discipline; or equivalent + 4-8 years of related work experience
  • At least 2 years of service delivery experience on Azure or AWS
  • At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions
  • Minimum of 3 years of RDBMS and ETL experience
  • Extensive experience working with Azure and/or AWS native services
  • Extensive hands-on experience implementing data migration and data processing on a cloud environment
  • Minimum of 3 years of hands-on experience in Azure and/or AWS
  • Experience with Big Data technologies such as Powershell, C#, Java, Node.js, R, Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFI etc.
  • Well versed in DevSecOps and CI/CD deployments
  • Cloud migration methodologies and processes including tools such as Azure Data Factory, Data Migration Service, SSIS, Attunity (Qlik), Event Hub, Kafka, etc.
  • Experience working with Developer tools such as GitLabs, Jenkins, etc.
  • Experience with private and public cloud architectures, pros/cons, and migration considerations.
  • Ability to obtain NACI Clearance.

Preferred Skills/Qualifications

  • Cloud Data Solution certifications or equivalent
  • DevOps on an Azure platform
  • Experience developing and deploying ETL solutions on Azure
  • Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
  • Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
  • Extensive hands-on experience implementing data migration and data processing on a cloud environment using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Previous working experience at the CDC or other federal agencies


External Referral Bonus:Eligible

Potential for Telework:Yes, 75%

Clearance Level Required:NACI


Scheduled Weekly Hours:40


Requisition Category:Professional

Job Family:Data Scientist

Pay Range: