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Data Security Engineer

Addison, Texas;

Job Description:

Come join an exciting team within Global Information Security (GIS). Cyber Security Technology (CST) is a globally distributed team responsible for cyber security innovation and architecture, engineering, solutions and capabilities development, cyber resiliency, access management engineering, data strategy, deployment maintenance, technical project management and information technology security control support.

This role is responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues.  These individuals are proficient in data engineering practices, and have extensive experience of using design and architectural patterns.  

Primary Level of Engagement:
Works as a team member under supervision from a more senior domain expert.  

Primary Interactions:
Product Owner
Scrum Master
Development Team
Feature Lead
Architect
Domain Community of Practice
Data Scientists

Key Responsibilities:
Contribute to story refinement/defining requirements
Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.
Utilize multiple architectural components in design and development of client requirements.
Code complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. 
Assist team with resolving technical complexities involved in realizing story work.
Collaborate with development teams to understand data requirements and ensure the data architecture is feasible to implement and subsequently implemented accurately.
Assemble large, complex data sets that meet functional / non-functional requirements.
Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management.
Define and build data pipelines that enable faster, better, data-informed decision-making within the business.
Contribute to existing test suites (integration, regression, and performance), analyze test reports, identify any test issues/errors, and triage the underlying cause.
Document and communicate required information for deployment, maintenance, support, and business functionality.
Adhere to team delivery/release process and cadence pertaining to code deployment and release
Identify gaps in data management standards adherence, and work with appropriate partners to develop plans to close gaps. 
Lead concept and experimentation testing and synthesize the results to validate and improve analytical solution.
Monitor key performance indicators and internal controls. 
Mentor more junior Data Engineers and coach the team on CI-CD practices and automating tool stack.

Required Skills:
•    Provide an in-depth understanding of data modeling and how the design will impact both a Hadoop platform and downstream applications
•    Contribute to existing test suites (integration, regression, and performance), analyze test reports, identify any test issues/errors, and triage the underlying cause.
•    Previous experience in Information Technology / Information Security / Identity and Access Management
•    Proficient in Windows, Midrange and Mainframe access provisioning and security system
•    Ability to identify, analyze and address problems to resolve issues whenever possible 
•    Ability to work independently
•    Strong attention to detail, confident enough to raise questions and identified issues minimizes negative impact and risk to the organization
 

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Come join an exciting team within Global Information Security (GIS). Cyber Security Technology (CST) is a globally distributed team responsible for cyber security innovation and architecture, engineering, solutions and capabilities development, cyber resiliency, access management engineering, data strategy, deployment maintenance, technical project management and information technology security control support.

This role is responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues.  These individuals are proficient in data engineering practices, and have extensive experience of using design and architectural patterns.  

Primary Level of Engagement:
Works as a team member under supervision from a more senior domain expert.  

Primary Interactions:
Product Owner
Scrum Master
Development Team
Feature Lead
Architect
Domain Community of Practice
Data Scientists

Key Responsibilities:
Contribute to story refinement/defining requirements
Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.
Utilize multiple architectural components in design and development of client requirements.
Code complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. 
Assist team with resolving technical complexities involved in realizing story work.
Collaborate with development teams to understand data requirements and ensure the data architecture is feasible to implement and subsequently implemented accurately.
Assemble large, complex data sets that meet functional / non-functional requirements.
Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management.
Define and build data pipelines that enable faster, better, data-informed decision-making within the business.
Contribute to existing test suites (integration, regression, and performance), analyze test reports, identify any test issues/errors, and triage the underlying cause.
Document and communicate required information for deployment, maintenance, support, and business functionality.
Adhere to team delivery/release process and cadence pertaining to code deployment and release
Identify gaps in data management standards adherence, and work with appropriate partners to develop plans to close gaps. 
Lead concept and experimentation testing and synthesize the results to validate and improve analytical solution.
Monitor key performance indicators and internal controls. 
Mentor more junior Data Engineers and coach the team on CI-CD practices and automating tool stack.

Required Skills:
•    Provide an in-depth understanding of data modeling and how the design will impact both a Hadoop platform and downstream applications
•    Contribute to existing test suites (integration, regression, and performance), analyze test reports, identify any test issues/errors, and triage the underlying cause.
•    Previous experience in Information Technology / Information Security / Identity and Access Management
•    Proficient in Windows, Midrange and Mainframe access provisioning and security system
•    Ability to identify, analyze and address problems to resolve issues whenever possible 
•    Ability to work independently
•    Strong attention to detail, confident enough to raise questions and identified issues minimizes negative impact and risk to the organization
 

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21068231

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Nicolas Skaric

Referral Bonus:

0

Colorado job seekers

Colorado pay range:

$100,500 - $131,500 annualized salary, offers to be negotiated based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.