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Data Engineer

Оценка ИИ

Престижная компания с отличными отзывами (Glassdoor Top 100) и конкурентной заработной платой. Работа над социально значимыми проектами государственного уровня обеспечивает стабильность и профессиональный рост.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием активного допуска TS/SCI и необходимостью опыта работы в закрытых (classified) средах. Технический стек требует уверенного владения PySpark и опытом работы с крупномасштабными облачными инфраструктурами.

Анализ зарплаты

Медиана135 000 $
Рынок115 000 $ – 165 000 $
Оценка ИИ

Предлагаемый диапазон $109k – $150k полностью соответствует рыночным стандартам для Data Engineer в США, особенно с учетом необходимости допуска TS/SCI, который обычно повышает рыночную стоимость специалиста.

Сопроводительное письмо

I am writing to express my strong interest in the Data Engineer position at Accenture Federal Services. With a solid background in developing distributed parallel data processing pipelines and a Bachelor's degree in STEM, I am confident in my ability to contribute to your mission of supporting the US federal government. My experience with Python, PySpark, and ETL processes aligns perfectly with the technical requirements of this role.

Throughout my career, I have focused on building secure, cloud-based data systems and delivering AI/ML products, particularly in the realm of natural language processing. I am particularly drawn to this opportunity because of Accenture's reputation as a Top 100 Best Place to Work and the chance to work on critical projects within a TS/SCI cleared environment. I am eager to bring my expertise in data normalization, mapping, and enrichment to your Enterprise Data Solutions team.

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Откликнитесь в accenturefederalservices уже сейчас

Присоединяйтесь к Accenture Federal Services и внесите свой вклад в национальную безопасность США, работая с передовыми технологиями обработки данных!

Описание вакансии

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

AFS is in search of a Data Engineer to develop stages of distributed parallel data processing pipelines, which includes but is not limited to: configuring data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics

Responsibilities:

  • Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform Follow agile methodologies when applied to the data engineering part of the system development life cycle (SDLC)
  • Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material

Required Qualifications:

  • Bachelor's degree in a discipline covered under Science, Computer Science, Technology, Engineering or Mathematics (STEM)
  • 2 years of experience in any of the following:

+ Digital transformation processes to secure, cloud-based data systems improving accessibility and operational efficiency

+ Experience in ETL pipelines, cloud-based infrastructures, and large-scale data analysis

+ Experience delivering artificial intelligence and machine learning products largely related to natural language processing

+ Experience as a software engineer, data analyst

+ Experience with Python or PySpark

  • Engaged with stakeholders to refine user requirements and align solutions with business objectives

Desired Qualifications:

  • 2 years of experience as a data engineer
  • 1 year of experience developing, operating, and maintaining data processing pipelines in a classified environment
  • 1 year of experience data mapping, modeling, enriching, and correlating classified data
  • 1 year of experience with Python/PySpark
  • 1 year of experience with Java/Java interface to Spark
  • 1 year of experience with Palantir Foundry

CLEARANCE:

  • Active TS/SCI is required

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:

$109,300—$150,900 USD

*What We Believe*

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

*Equal Employment Opportunity Statement*

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of theAccenture Federal Services Equal Opportunity Policy Statement.

Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.

*Requesting An Accommodation*

Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If youare being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

*Other Employment Statements*

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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Навыки

  • Agile
  • Python
  • PySpark
  • Apache Spark
  • Java
  • ETL
  • Data Modeling
  • Cloud Computing
  • Palantir Foundry
  • Natural Language Processing

Возможные вопросы на собеседовании

Проверка опыта работы с основным инструментом обработки данных, указанным в вакансии.

Опишите ваш опыт оптимизации производительности PySpark при обработке крупномасштабных наборов данных.

Вакансия предполагает работу в закрытых средах, где безопасность данных является приоритетом.

С какими специфическими проблемами вы сталкивались при разработке ETL-процессов в защищенных или классифицированных средах?

В описании упоминается работа с NLP продуктами.

Какую роль играла инженерия данных в ваших проектах, связанных с обработкой естественного языка (NLP)?

Желательный навык, который значительно выделяет кандидата.

Есть ли у вас опыт работы с Palantir Foundry, и как вы использовали эту платформу для интеграции данных?

Работа ведется по методологии Agile в рамках жизненного цикла разработки систем (SDLC).

Как вы подходите к документированию (SDD, SOP) в условиях быстро меняющихся требований Agile-проекта?

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Страна
США
Зарплата
109 300 $ – 150 900 $