Data Engineer III (Top Secret Clearance Required)
for each section heading. Use - for lists. Use
for prose. Do NOT repeat job title as heading. Do NOT include Job ID etc. Remove boilerplate. Include sections only when real specific content.
We need to parse the posting.
Content:
- Intro: "Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation."
That's prose about the role/team.
- "Work you'll do As a Project, Data Engineer III on the AI & Data team, you will be responsible for..." then bullet list (actually sentences separated by line breaks). Let's extract bullet points:
Designing, building, and maintaining data pipelines and workflows that support analytics, reporting, and operational use cases
Developing, testing, and deploying data engineering solutions across cloud and enterprise data environments
Transforming, validating, and integrating structured and unstructured data from multiple source systems
Collaborating with cross-functional teams to implement scalable data models, data quality controls, and processing frameworks
Supporting client delivery by documenting technical solutions, resolving defects, and contributing to continuous improvement of data platforms
These are duties/responsibilities.
- "A successful candidate would possess these skills:" then list:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
These are skills.
- "The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively."
That's about the team/offering.
- "Qualifications Required:" then list:
Bachelor's degree in a related field
3+ years of experience in data engineering or artificial intelligence development
3+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
1+ year of experience with hands on experience with PowerBI, Power Apps, or Power Automate
1+ year of experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
1+ year of experience supporting BI, analytics, or technology programs in a mission-driven environment
Familiarity with machine learning techniques (classification, clustering, regression, and anomaly detection)
Active Top Secret level security clearance, preferred TS/SCI
Must be able to commute onsite 100% into Arlington/Rosslyn/D.C.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- "Preferred:" then list:
Advanced degree in Computer Science, Information Systems, Engineering, or a related field
Experience with AWS and Azure AI products
Experience with natural language processing, computer vision, or optical character recognition solutions
Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow
Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation
- Compensation: "For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. ... A reasonable estimate of the current range is $107,700 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance."
Thus we have Pay section.
- No explicit Benefits or Schedule sections. There's no mention of benefits besides incentive program. Could include Benefits? The instruction: only include a section when posting has real, specific content. Benefits: not mentioned besides incentive program (which is part of compensation). So we may not create Benefits section. Schedule: not mentioned. So we omit.
We need sections: About the role (maybe "About the role" or "About the team"? The instruction: use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can choose appropriate headings.
We have content for:
- About the role/team: intro paragraph + team description. Could be "About the role" or "About the team". We'll use "About the role".
- Responsibilities: the list of work you'll do.
- Skills: the list of skills.
- Qualifications: required qualifications.
- Preferred Qualifications: maybe "Preferred qualifications" but we can combine under "Qualifications"? The instruction: we can have Qualifications and maybe separate Preferred? But we can include a section "Preferred qualifications". However they gave examples: Qualifications, Skills, Benefits, Pay, Schedule. They didn't list Preferred but we could still include if content. Safer to include "Preferred qualifications" as a heading? Might be okay but not in examples. Might be safer to merge preferred into Qualifications? But they are distinct. The instruction: "Prefer a few substantive sections over many thin ones." So maybe combine Required and Preferred into one "Qualifications" section with subheadings? But we cannot use headings inside? We could just list both under Qualifications with bullet points, maybe separate with a note. However they said use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). They didn't list Preferred but we could still include if needed. But to follow "prefer few substantive sections", we could have Qualifications covering both required and preferred, maybe with a note "Preferred:" inside the list. That's acceptable.
Thus sections:
- About the role (intro + team description)
- Responsibilities (duties)
- Skills (abilities)
- Qualifications (required + preferred)
- Pay (compensation range and incentive)
We must not include fluff like "commensurate with experience". Not present.
Now produce HTML fragment.
Structure:
About the role
Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Responsibilities
- Designing, building, and maintaining data pipelines and workflows that support analytics, reporting, and operational use cases
- Developing, testing, and deploying data engineering solutions across cloud and enterprise data environments
- Transforming, validating, and integrating structured and unstructured data from multiple source systems
- Collaborating with cross-functional teams to implement scalable data models, data quality controls, and processing frameworks
- Supporting client delivery by documenting technical solutions, resolving defects, and contributing to continuous improvement of data platforms
Skills
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Qualifications
- Bachelor's degree in a related field
- 3+ years of experience in data engineering or artificial intelligence development
- 3+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
- 1+ year of experience with hands on experience with PowerBI, Power Apps, or Power Automate
- 1+ year of experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
- 1+ year of experience supporting BI, analytics, or technology programs in a mission-driven environment
- Familiarity with machine learning techniques (classification, clustering, regression, and anomaly detection)
- Active Top Secret level security clearance, preferred TS/SCI
- Must be able to commute onsite 100% into Arlington/Rosslyn/D.C.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Preferred: Advanced degree in Computer Science, Information Systems, Engineering, or a related field
- Preferred: Experience with AWS and Azure AI products
- Preferred: Experience with natural language processing, computer vision, or optical character recognition solutions
- Preferred: Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow
- Preferred: Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation
Pay
A reasonable estimate of the current range is $107,700 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Check for any boilerplate: we removed the sentence about "For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case." That's boilerplate; we should remove it. We kept only the concrete range and incentive program. That's fine.
Check for any duplicated lines: none.
Now output only HTML fragment.
for prose. Do NOT repeat job title as heading. Do NOT include Job ID etc. Remove boilerplate. Include sections only when real specific content. We need to parse the posting. Content: - Intro: "Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation." That's prose about the role/team. - "Work you'll do As a Project, Data Engineer III on the AI & Data team, you will be responsible for..." then bullet list (actually sentences separated by line breaks). Let's extract bullet points: Designing, building, and maintaining data pipelines and workflows that support analytics, reporting, and operational use cases Developing, testing, and deploying data engineering solutions across cloud and enterprise data environments Transforming, validating, and integrating structured and unstructured data from multiple source systems Collaborating with cross-functional teams to implement scalable data models, data quality controls, and processing frameworks Supporting client delivery by documenting technical solutions, resolving defects, and contributing to continuous improvement of data platforms These are duties/responsibilities. - "A successful candidate would possess these skills:" then list: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others These are skills. - "The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively." That's about the team/offering. - "Qualifications Required:" then list: Bachelor's degree in a related field 3+ years of experience in data engineering or artificial intelligence development 3+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments 1+ year of experience with hands on experience with PowerBI, Power Apps, or Power Automate 1+ year of experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration 1+ year of experience supporting BI, analytics, or technology programs in a mission-driven environment Familiarity with machine learning techniques (classification, clustering, regression, and anomaly detection) Active Top Secret level security clearance, preferred TS/SCI Must be able to commute onsite 100% into Arlington/Rosslyn/D.C. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future - "Preferred:" then list: Advanced degree in Computer Science, Information Systems, Engineering, or a related field Experience with AWS and Azure AI products Experience with natural language processing, computer vision, or optical character recognition solutions Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation - Compensation: "For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. ... A reasonable estimate of the current range is $107,700 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance." Thus we have Pay section. - No explicit Benefits or Schedule sections. There's no mention of benefits besides incentive program. Could include Benefits? The instruction: only include a section when posting has real, specific content. Benefits: not mentioned besides incentive program (which is part of compensation). So we may not create Benefits section. Schedule: not mentioned. So we omit. We need sections: About the role (maybe "About the role" or "About the team"? The instruction: use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can choose appropriate headings.
We have content for:
- About the role/team: intro paragraph + team description. Could be "About the role" or "About the team". We'll use "About the role".
- Responsibilities: the list of work you'll do.
- Skills: the list of skills.
- Qualifications: required qualifications.
- Preferred Qualifications: maybe "Preferred qualifications" but we can combine under "Qualifications"? The instruction: we can have Qualifications and maybe separate Preferred? But we can include a section "Preferred qualifications". However they gave examples: Qualifications, Skills, Benefits, Pay, Schedule. They didn't list Preferred but we could still include if content. Safer to include "Preferred qualifications" as a heading? Might be okay but not in examples. Might be safer to merge preferred into Qualifications? But they are distinct. The instruction: "Prefer a few substantive sections over many thin ones." So maybe combine Required and Preferred into one "Qualifications" section with subheadings? But we cannot use headings inside? We could just list both under Qualifications with bullet points, maybe separate with a note. However they said use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). They didn't list Preferred but we could still include if needed. But to follow "prefer few substantive sections", we could have Qualifications covering both required and preferred, maybe with a note "Preferred:" inside the list. That's acceptable.
Thus sections:
- About the role (intro + team description)
- Responsibilities (duties)
- Skills (abilities)
- Qualifications (required + preferred)
- Pay (compensation range and incentive)
We must not include fluff like "commensurate with experience". Not present.
Now produce HTML fragment.
Structure:
About the role
About the role
Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Responsibilities
- Designing, building, and maintaining data pipelines and workflows that support analytics, reporting, and operational use cases
- Developing, testing, and deploying data engineering solutions across cloud and enterprise data environments
- Transforming, validating, and integrating structured and unstructured data from multiple source systems
- Collaborating with cross-functional teams to implement scalable data models, data quality controls, and processing frameworks
- Supporting client delivery by documenting technical solutions, resolving defects, and contributing to continuous improvement of data platforms
Skills
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Qualifications
- Bachelor's degree in a related field
- 3+ years of experience in data engineering or artificial intelligence development
- 3+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
- 1+ year of experience with hands on experience with PowerBI, Power Apps, or Power Automate
- 1+ year of experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
- 1+ year of experience supporting BI, analytics, or technology programs in a mission-driven environment
- Familiarity with machine learning techniques (classification, clustering, regression, and anomaly detection)
- Active Top Secret level security clearance, preferred TS/SCI
- Must be able to commute onsite 100% into Arlington/Rosslyn/D.C.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Preferred: Advanced degree in Computer Science, Information Systems, Engineering, or a related field
- Preferred: Experience with AWS and Azure AI products
- Preferred: Experience with natural language processing, computer vision, or optical character recognition solutions
- Preferred: Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow
- Preferred: Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation
Pay
A reasonable estimate of the current range is $107,700 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Check for any boilerplate: we removed the sentence about "For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case." That's boilerplate; we should remove it. We kept only the concrete range and incentive program. That's fine. Check for any duplicated lines: none. Now output only HTML fragment.