Senior Application Support Engineer

Integral Federal•Annapolis Junction, MD

7d•Hybrid

About The Position

Integral Federal is looking to hire a Senior Application Support Engineer to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. The PEA program will support TSA as they continue to look for ways to enhance its layered approach to security through new state-of-the-art technologies, expanded use of existing and proven technologies, improved passenger identification techniques, and other developments that will continue to strengthen anti-terrorism capabilities.

Requirements

10+ years’ experience and a Bachelor’s degree
Experience with environments and tools listed below:
On-premises and Cloud database, data science and data analytics environments
Administration experience with IBM Integrated Analytics System, IBM Sailfish (formerly Netezza; hardware accelerated database appliance), AWS Redshift or similar products
Expertise with query troubleshooting and optimization to include analyzing optimization plans, debugging stored procedures, and analyzing table structures
Skills in troubleshooting connections to a database or database appliance
Notebook environment Administration experience with Apache Zeppelin or similar web-based notebook collaboration environment (e.g. JupyterLabs)
Skills in setting up connections and interpreters to local file systems, external file systems, external databases, and programming languages such as Java, SQL, Python, and R
Experience with performance troubleshooting of Python and R code in a notebook or data science toolkit environment
ETL Environment Administration experience with Informatica or similar ETL tools
Experience with performance troubleshooting of ETL issues
Familiarity with web application support for the ETL tools
Visualization environment Administration experience with Microsoft Power BI Report server or similar business intelligence tool
Experience with performance troubleshooting the reporting infrastructure
Familiarity with web application support and desktop support for visualization tools
Python/R environment Experience with package maintenance and dependency checks for languages such as R and Python
Experience with deploying packages to Windows desktops, Windows Servers, and RHEL servers from external sources such as Pypi.org and cran
Experience with resolving dependency issues for R and Python
Desktop tools Experience maintaining and upgrading tools in a Windows desktop environment
Certificate maintenance Experience with updating server and application certificate key stores in a RHEL or similar environment

Nice To Haves

Experience working in TSA mission or DHS environment
Experience working in data science and data analytics environments
Experience working in Agile environments
AWS Cloud migration experience
Experience with RHEL8, Elasticsearch/Kibana and AWS Cloud products (including Redshift, Glue)
Systems engineering background and/or skills
Master of Science degree

Responsibilities

Support the administration and operations management for on-premises and cloud data science and data analytics environment
Collaborate with user community of the data science & analytics environment to assist with environment usage and identify opportunities for improvements
Support the administration of the data science notebook environment (e.g., Zeppelin)
Support the administration of the ETL environment (e.g. IBM Informatica)
Support the administration of the visualization environment (e.g. Microsoft Power BI Server)
Support the administration of the R/Python environment to include the data science packages
Support the administration of the data science tools on the desktops (e.g., Programming IDEs, SQL editors, desktop clients for the tools above)
Independently install, customize and integrate commercial software packages
Integrate and deploy data science applications with the TSA program infrastructure and platforms
Ensure regular application maintenance is performed and conduct post maintenance testing to ensure applications are working correctly – includes planning, coordination and communication activities
Responding to reported incidents for the data science environment and maintaining incidents and production support in the ticketing system and/or via Agile stories (work items)
Respond to security tickets for the data science applications and ensure security ticket response is tracked via Agile stories (work items)
Facilitate root cause analysis (RCA) of system issues
Support the optimization of the data science application environment and identify areas to improve system performance and availability
Complete security tickets by gathering evidence/artifacts, submitting evidence to the program security department, and closing the associated tickets or Agile stories