Position:  Data Management Lead - CI/CD
Location:  Sterling, VA
Job Id:  989
# of Openings:  1

Data Management Lead - CI/CD
Sterling, VA 20166
 
Culmen International is hiring for a Database Engineering Lead to work in support of a U.S. Government customer on a large mission critical development and sustainment program. The database engineering work will support the design, build, delivery, and operations for a network operations environment. Activities will include introducing new cyber capabilities to address emerging threats. This work is part of the Cybersecurity and Special Missions (CSM) area working collaboratively with agile development teams in the design, development, and deployment of advanced cybersecurity capabilities.
 
Qualified candidates will have expertise in the following:
Cloud Computing, Computer Engineering, Computer Science, Configuration Management, Cyber Jobs, Data Networking, Data Science, General Management, Hardware Engineering, Integration & Test Engineering, Software Engineering, Systems, Engineering, Test Engineering
 
Security Clearance Requirement: Current TS/SCI is required to be considered AND must also be eligible for DHS Suitability
 
Role and responsibilities include:
  • Using database expertise to lead teams with diverse skill sets (e.g. data architects, data scientists, software developers) in support of a large, agile-based, cybersecurity system.
  • Working with large structured and unstructured data sets.
  • Implementing data management systems from conception, through all stages of design, development, and deployment in a CI/CD agile environment.
  • Design, setup, administer, and tune NoSQL databases in the AWS cloud.
  • Design and implement the technical architecture necessary to support analytic and statistical processing requirements based on tradeoff between performance and quality.
  • Performing data transformations such as aggregations, joins, and data cleaning to support analytic applications and visualizations.
  • Write and refine code to ensure quality and reliability of data extraction and processing.
  • Analyze and resolve data performance and quality issues.
  • Make data available to data scientists, programmers, and other users using programming and scripting languages such as R, Python, Java, JavaScript, etc.
  • Perform data analysis and design, data modeling, business intelligence management, master data management, metadata management, data quality management, data security, auditing and other functions of data management and governance.
  • Generate data estimates of work to be performed, compare estimates to actuals, and continue to refine estimates.
  • Work collaboratively with agile development teams, attending daily scrums and providing data related solutions to development team.
  • Develop and maintain database code libraries, data models, SOPs, and other documentation in the team collaboration environment.
  • Migrate data from legacy RDBMSs and other data sources to NoSQL database in the AWS cloud using complex ETL processes, tools, and programming languages.
  • Maintain current industry knowledge of relevant concepts, practices and procedures

Requirement education and experience includes:
  • U.S. Citizenship
  • Current TS/SCI security clearance
  • Ability to obtain DHS Suitability. Current DHS Suitability is preferred
  • Education requirement:
    • BS Computer Science, Computer Engineering, Computer Information Systems, OR Computer Systems Engineering.
    • Two years of related work experience may be substituted for each year of degree level education.
  • 10+ years of relevant database experience
  • Demonstrated ability to lead teams with diverse skill sets (e.g. data architects, data scientists, software developers)
  • Demonstrated experience mentoring junior to mid-level data professionals
  • Able to effectively work as a leader, in a group, or as an individual contributor
  • Excellent understanding of big data and data analytics
  • Experience working with large structured and unstructured data sets
  • Development experience building ETL pipelines at scale
  • Solid SQL development skills
  • Experience with Linux/Unix tools and shell scripts
  • Expertise in data analysis and design, data modeling, master data management, metadata management, data warehousing, performance tuning, data quality improvement, data security, auditing and encryption
  • Good communication skills, both oral and written
  • Must work well in a team environment as well as independently
  • Must exhibit good time management skills, independent decision making capability, and a focus on customer service.
Desired skills include:
  • Experience providing database engineering support to Intelligence, DoD, or DHS Customers
  • Understanding of Certification and Accreditation (ICD 503/DCID 6/3) processes as they apply to database technologies
  • Ability to support both SQL and NoSQL data management systems
  • Expertise in other RDBMS platforms such as Oracle RAC and SQL Server
  • Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline
  • Experience with data transformation techniques such as aggregations, joins, and data cleaning
  • Experience with Red Hat Enterprise Linux (RHEL) operating system, storage configurations, network architecture, VMware, and/or related management tools
  • Database management experience of SQL databases such as MySQL and PostgreSQL in AWS cloud
  • Experience creating and managing NoSQL databases such as DynamoDB in the AWS cloud
  • Object mapping and migration of data from legacy structured and unstructured data sources to Amazon DynamoDB using AWS tools, custom code, or ETL scripts
  • Programming experience with languages such as R, Python, Java, JavaScript, JSON, etc.
  • Knowledge of Hadoop ecosystem, Map/Reduce, and data management products including Hbase, Hive, and Pig
  • DevSecOps and Continuous Integration / Continuous Delivery (CI/CD) knowledge
  • Experience or training in Six Sigma Methodology
  • ITIL knowledge and certification
  • Familiarity with SAFe (Scaled Agile Framework).
Desired certifications include:
  • IBM Certified Data Engineer - Big Data
  • Google Cloud Certified Professional - Data Engineer
  • Cloudera Certified Professional - Data Engineer
  • CCDH: Cloudera Certified Developer for Apache Hadoop
  • CCAH: Cloudera Certified Administrator for Apache Hadoop
  • CCSHB: Cloudera Certified Specialist in Apache HBase
  • CSSLP Certified Secure Software Lifecycle Professional
  • Certifications related to Scaled Agile Framework (SAFe) such as SAFe Practitioner (SP) or SAFe Program Consultant (SPC)
  • DoD 8570.1 IAT Level I
Job Type: Full-Time (this job is not open to 1099 consulting)
Benefits: Health, Vision, Dental, 401k, Disability and Life Insurance Programs
 
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