American Systems Corporation - Annapolis Junction, MD

posted about 2 months ago

Full-time - Mid Level
Annapolis Junction, MD
51-100 employees
Professional, Scientific, and Technical Services

About the position

Wanted: An experienced Data Analytics Engineer with demonstrated expertise and experience in design, development, architecture and implementation of large-scale enterprise dataflow platforms as well as analysis of complex, legacy disparate non-conforming datasets. As a Data Analytics Engineer, you will work with the latest, cutting edge technology and with a team of driven, supportive and highly skilled professionals. You will receive a robust benefits package that includes an Employee Stock Ownership Plan and enjoy flexibility managing your work hours and personal needs with a single accrual leave plan. A week in the life of a Data Analytics Engineer includes providing the management, maintenance, and support of the Data Analytics platform hardware and software. Data Analytics shall include deployment and ongoing support for host, application, appliance and log monitoring and alerting. The Data Analytics System will be highly-available with geographically diverse operating locations. You will demonstrate expert-level knowledge/experience in Big data and Cloud technologies such as Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop. Additionally, you will architect and deploy Person-Centric Services, including the use of AI/ML technologies. You will lead efforts to modernize a portfolio of major legacy applications leveraging the cloud, DevSecOps, and industry best practices. This includes architecting and implementing change-data-capture (CDC) replication for unique disparate datasets of records into Spark ML for deduplication and graph theory entity/identity grouping. Furthermore, you will architect a scalable, automated enterprise-wide Security Event Management framework—Splunk—to collect and analyze “events” and develop risk patterns through the Security Event Management framework to enable the Agency's ability to perform predictive analysis using billions of events per month.

Responsibilities

  • Provide management, maintenance, and support of the Data Analytics platform hardware and software.
  • Deploy and provide ongoing support for host, application, appliance and log monitoring and alerting.
  • Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
  • Architect and deploy Person-Centric Services, including use of AI/ML technologies.
  • Lead efforts to modernize a portfolio of major legacy applications leveraging the cloud, DevSecOps, and industry best practices.
  • Architect and implement change-data-capture (CDC) replication for unique disparate datasets of records into Spark ML for deduplication and graph theory entity/identity grouping.
  • Architect a scalable, automated enterprise-wide Security Event Management framework—Splunk—to collect and analyze “events”.
  • Develop risk patterns through the Security Event Management framework to enable Agency ability to perform predictive analysis using billions of events per month.

Requirements

  • A minimum of 7 years of recent and relevant experience.
  • Preferred education: A Bachelor's degree from an accredited college or university in business management, information technology management, or a related field.
  • Domain expertise in programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data.
  • Technical skills preferred: JavaScript, Ansible, SQL, Java, .Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter; Software/Tools: AWS, Docker, Jira, VMware vCenter/vRealize, Kubernetes, Jenkins, Ansible, Prometheus, and Grafana; Cloud Native: AWS EC2, AWS CDK, S3, CloudWatch, CloudFront, CloudConfig, Elastic Container Services (ECS), DynamoDB, RDS, ElasticSearch, PowerBI, Tableau.
  • Preferred certification: AWS Solutions Architect Associate.
  • Strong written and oral communication skills.
  • Ability to coordinate across large groups of people at multiple levels.

Nice-to-haves

  • Previous Transportation Security Administration (TSA) personnel clearance preferred but not required.
  • Prior experience with and knowledge of TSA's mission priorities, systems, and applications preferred but not required.

Benefits

  • Employee Stock Ownership Plan
  • Healthcare benefits
  • Paid leave
  • Retirement plans (including ESOP and 401k)
  • Insurance programs
  • Education and training assistance
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