812129 Data Scientist $225,000.00
B4Corp · Herndon, VA · 1 mo ago
Engineering$225k/yrFull-time
We need to output HTML fragment with sections: headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the posting.
Key info:
- Labor Category: Data Scientist (but title is Data Architect)
- Position Title: Data Architect
- Position Level: Level 2 – Expert
- Salary: Up to $225,000.00 per year
- Core Hours: 9am to 4pm
- Location: Herndon VA
- Description: Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. As a Data Engineer, you are responsible for designing data models, building data warehouses and data lakes, automating data pipelines and working with datasets of all sizes. You will optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. You apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. You create data collection frameworks for structured and unstructured data. Your solutions and create cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production. You use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.
- Details (duplicate of earlier lines)
- Mandatory Requirements: Developmental (0-2 years’ experience) Full Performance (3-5 years’ experience) Senior (6-10 years’ experience) Expert (11-15 years’ experience) SME (16+ years’ experience) (these are categories; maybe not needed as list? Could be under Requirements)
- Preferred Skills: We are actively seeking Systems Engineers to perform as a Data Engineer with a minimum of 11 years’ experience. Information Technology or Engineer Bachelor’s or Master’s Degrees are preferred. Specific skills should include the following: Experience integrating diverse data streams Experience with data transfer tools (Ex: NiFi, Cribl, etc) Establishes data standards and acts as custodian of IT and service delivery data sets and streams Experience in analyzing complex networks and systems Experience in analyzing log data from various network components and operating systems Knowledge of complex environments involving shared networks and multiple security enclaves Systems Engineer with Data Engineer background Ability to manage and troubleshoot data feeds Splunk familiarization Python
- Optional Requirements: Security Development and Operations (SecDevOps) Hands on Splunk Experience and Certifications Scripting tools to include Python, ShellScript, or Ansible Cloud security controls and implementation Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.) AWS Certified Security Specialty
- Company Information: B4Corp description, benefits, compensation details.
- Benefits: Outstanding Salaries Retirement Full Vanguard 401k Plan – Featuring a full scope of investment options – 100% employer matched contribution up to 6% of employee’s salary – Ability to max out 401k savings $57k ($63.5k if over 50)Employees receive B4Corp phantom stock each year (2-year vesting period) Insurance Medical – United Health Care (UHC) (multiple plan options)Dental – United Concordia (UC) Flex PlanVision – Vision Service Plan Insurance Co (VSP) Signature PlansMutual of Omaha short-term disability (60% of salary up to $2,000.00/week)Mutual of Omaha long-term disability (60% of salary up to $10,000.00/month)Mutual of Omaha life insurance ($200,000.00) Employee Referral Bonus Refer a friend or a coworker and receive $3,000 per year for every year the person works for B4CORP Paid Time Off (PTO) Seven weeks of leave per year (including ten federal holidays)Flexible work schedule with comp time (with customer approval)
- Pay: Salary Up to $225,000 per year.
- Schedule: Core Hours: 9am to 4pm.
We need to avoid repeating job title as heading. Also avoid Job ID/requisition numbers.
We need to remove boilerplate: EEO, e-Verify, application instructions, forms, etc.
We need to output only HTML fragment.
We need sections: maybe About the role (description), Responsibilities (maybe part of description), Requirements (mandatory/experience levels), Qualifications (preferred skills/optional), Skills (maybe combine), Benefits, Pay, Schedule.
We must not create sections with filler like "commensurate with experience". We have actual content.
We need to decide which sections to include.
We have:
- About the role: Could be the description paragraph(s) describing role responsibilities. Could be under
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the posting.
Key info:
- Labor Category: Data Scientist (but title is Data Architect)
- Position Title: Data Architect
- Position Level: Level 2 – Expert
- Salary: Up to $225,000.00 per year
- Core Hours: 9am to 4pm
- Location: Herndon VA
- Description: Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. As a Data Engineer, you are responsible for designing data models, building data warehouses and data lakes, automating data pipelines and working with datasets of all sizes. You will optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. You apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. You create data collection frameworks for structured and unstructured data. Your solutions and create cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production. You use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.
- Details (duplicate of earlier lines)
- Mandatory Requirements: Developmental (0-2 years’ experience) Full Performance (3-5 years’ experience) Senior (6-10 years’ experience) Expert (11-15 years’ experience) SME (16+ years’ experience) (these are categories; maybe not needed as list? Could be under Requirements)
- Preferred Skills: We are actively seeking Systems Engineers to perform as a Data Engineer with a minimum of 11 years’ experience. Information Technology or Engineer Bachelor’s or Master’s Degrees are preferred. Specific skills should include the following: Experience integrating diverse data streams Experience with data transfer tools (Ex: NiFi, Cribl, etc) Establishes data standards and acts as custodian of IT and service delivery data sets and streams Experience in analyzing complex networks and systems Experience in analyzing log data from various network components and operating systems Knowledge of complex environments involving shared networks and multiple security enclaves Systems Engineer with Data Engineer background Ability to manage and troubleshoot data feeds Splunk familiarization Python
- Optional Requirements: Security Development and Operations (SecDevOps) Hands on Splunk Experience and Certifications Scripting tools to include Python, ShellScript, or Ansible Cloud security controls and implementation Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.) AWS Certified Security Specialty
- Company Information: B4Corp description, benefits, compensation details.
- Benefits: Outstanding Salaries Retirement Full Vanguard 401k Plan – Featuring a full scope of investment options – 100% employer matched contribution up to 6% of employee’s salary – Ability to max out 401k savings $57k ($63.5k if over 50)Employees receive B4Corp phantom stock each year (2-year vesting period) Insurance Medical – United Health Care (UHC) (multiple plan options)Dental – United Concordia (UC) Flex PlanVision – Vision Service Plan Insurance Co (VSP) Signature PlansMutual of Omaha short-term disability (60% of salary up to $2,000.00/week)Mutual of Omaha long-term disability (60% of salary up to $10,000.00/month)Mutual of Omaha life insurance ($200,000.00) Employee Referral Bonus Refer a friend or a coworker and receive $3,000 per year for every year the person works for B4CORP Paid Time Off (PTO) Seven weeks of leave per year (including ten federal holidays)Flexible work schedule with comp time (with customer approval)
- Pay: Salary Up to $225,000 per year.
- Schedule: Core Hours: 9am to 4pm.
We need to avoid repeating job title as heading. Also avoid Job ID/requisition numbers.
We need to remove boilerplate: EEO, e-Verify, application instructions, forms, etc.
We need to output only HTML fragment.
We need sections: maybe About the role (description), Responsibilities (maybe part of description), Requirements (mandatory/experience levels), Qualifications (preferred skills/optional), Skills (maybe combine), Benefits, Pay, Schedule.
We must not create sections with filler like "commensurate with experience". We have actual content.
We need to decide which sections to include.
We have:
- About the role: Could be the description paragraph(s) describing role responsibilities. Could be under About the role
with
containing the description. - Responsibilities: Could be a list of duties from description: designing data models, building data warehouses and data lakes, automating data pipelines, working with datasets, optimizing data flow, applying ETL, creating data collection frameworks, creating cyber and operational analytic tools, using/developing standards/tools/processes/governance. We could put those as
- ... etc.
- Requirements: Mandatory Requirements: experience levels (Developmental etc). Could be a list.
- Qualifications: Preferred Skills (minimum 11 years experience, degree, specific skills). Could be list.
- Skills: maybe combine preferred and optional? But we already have Qualifications. Could have Skills section for technical skills list: Experience integrating diverse data streams, Experience with data transfer tools (NiFi, Cribl, etc), Establishes data standards..., Experience analyzing complex networks..., Experience analyzing log data..., Knowledge of complex environments..., Systems Engineer with Data Engineer background, Ability to manage and troubleshoot data feeds, Splunk familiarization, Python, etc. Also optional: SecDevOps, Hands on Splunk Experience and Certifications, Scripting tools (Python, ShellScript, Ansible), Cloud security controls, Public/private/hybrid cloud experience, AWS Certified Security Specialty.
We could combine them under Skills.
- Benefits: list of benefits.
- Pay: Salary Up to $225,000 per year.
- Schedule: Core Hours: 9am to 4pm.
We need to avoid duplication. Also avoid repeating location? Could be in About the role? Not required but could be included as a short paragraph? The instruction: do not put Job ID/requisition numbers as headings — fold minor metadata into a short
or drop it. Location maybe minor metadata; we could include in a
under About the role or separate? Probably include location in a short
after heading? But we should not create a heading for location. Could include in About the role paragraph. We need to preserve all substantive information. So we need to include location, clearance requirement, etc. Let's structure:
About the role
Location: Herndon, VA. Position requires a Top Secret (TS/SCI) clearance with a polygraph. As a Data Engineer, you are responsible for designing data models, building data warehouses and data lakes, automating data pipelines and working with datasets of all sizes. You will optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. You apply data extraction, transformation and loading techniques to connect large data sets from a variety of sources. You create data collection frameworks for structured and unstructured data. Your solutions create cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products, including constructing dataset procedures that can help with data mining, modeling, and production. You use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.
That covers description. Then Responsibilities: maybe we can extract list from that paragraph but we already included responsibilities in paragraph. To avoid duplication, maybe we keep responsibilities as list separate and not repeat in paragraph. But we need to preserve all substantive info; we can split. Better: About the role could be a brief summary: location, clearance, role purpose. Then Responsibilities list the duties. Then Requirements list experience levels. Then Qualifications list preferred skills/education. Then Skills list technical skills. Then Benefits list. Then Pay. Then Schedule. Let's craft. About the role paragraph: Location Herndon, VA. Position requires TS/SCI clearance with polygraph. Role: Data Architect (Data Engineer) focusing on data modeling, warehouses, lakes, pipelines, ETL, data frameworks, analytics tools, standards/governance. Then Responsibilities- with items:
- Designing data models
- Building data warehouses and data lakes
- Automating data pipelines
- Working with datasets of all sizes
- Optimizing overall data/information flow by reducing redundancy and enabling accessibility within security boundaries
- Applying data extraction, transformation, and loading (ETL) techniques to connect large data sets from various sources
- Creating data collection frameworks for structured and unstructured data
- Developing cyber and operational analytic tools for consumers to assist in building and optimizing downstream products
- Constructing dataset procedures to support data mining, modeling, and production
- Using and developing standards, tools, processes, and governance for capturing, modeling, storing, and delivering data for the enterprise
That covers.
Requirements: Mandatory Requirements experience levels list:
- Developmental (0-2 years’ experience)
- Full Performance (3-5 years’ experience)
- Senior (6-10 years’ experience)
- Expert (11-15 years’ experience)
- SME (16+ years’ experience)
We could also note that preferred is 11+ years.
Qualifications: Preferred Skills:
- Minimum of 11 years’ experience as a Systems Engineer performing as a Data Engineer
- Information Technology or Engineer Bachelor’s or Master’s degree preferred
- Experience integrating diverse data streams
- Experience with data transfer tools (e.g., NiFi, Cribl)
- Establishes data standards and acts as custodian of IT and service delivery data sets and streams
- Experience analyzing complex networks and systems
- Experience analyzing log data from various network components and operating systems
- Knowledge of complex environments involving shared networks and multiple security enclaves
- Ability to manage and troubleshoot data feeds
- Splunk familiarization
- Python
Optional Requirements (could be included under Skills or Qualifications). We'll treat as additional qualifications.
Optional Requirements:
- Security Development and Operations (SecDevOps)
- Hands‑on Splunk experience and certifications
- Scripting tools: Python, ShellScript, or Ansible
- Cloud security controls and implementation
- Public, private, and hybrid cloud experience (AWS, Microsoft Azure, etc.)
- AWS Certified Security Specialty
We could combine under Skills.
Skills section: list of technical skills (maybe combine preferred and optional). But we already have Qualifications for experience/education; Skills for specific technical abilities.
Let's decide:
Qualifications: education and experience minimums.
Skills: list of specific technical skills (including tools, methodologies).
Thus:
Qualifications
- :
- Minimum of 11 years’ experience as a Systems Engineer performing as a Data Engineer
- Information Technology or Engineer Bachelor’s or Master’s degree preferred
Skills
- :
- Experience integrating diverse data streams
- Experience with data transfer tools (e.g., NiFi, Cribl)
- Establishes data standards and acts as custodian of IT and service delivery data sets and streams
- Experience analyzing complex networks and systems
- Experience analyzing log data from various network components and operating systems
- Knowledge of complex environments involving shared networks and multiple security enclaves
- Ability to manage and troubleshoot data feeds
- Splunk familiarization
- Python
- Security Development and Operations (SecDevOps)
- Hands‑on Splunk experience and certifications
- Scripting tools: Python, ShellScript, or Ansible
- Cloud security controls and implementation
- Public, private, and hybrid cloud experience (AWS, Microsoft Azure, etc.)
- AWS Certified Security Specialty
Note Python appears twice; we can keep once.
Benefits
- :
- Outstanding salaries
- Full Vanguard 401k plan with