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Senior Data Engineer – US Federal Sales Division

100% Remote Full-time Open now

Are you a highly skilled and experienced data engineer looking to make a significant impact in the US Federal Sales Division of a leading technology company? Do you have a passion for developing and maintaining production data pipelines that support the training and production of machine learning models? If so, we have an exciting opportunity for you to join our team as a Senior Data Engineer.

About Us

Dell Technologies is a unique family of companies that help people and organizations transform the way they work, live, and play. We believe that each of us has the power to make an impact, and that's why we put our members at the center of everything we do. Our mission is to develop new ways to extract meaning and value from petabyte data processing and to shape new processes, tools, recording methods, and models.

Job Summary

As a Senior Data Engineer in our US Federal Sales Division, you will play a critical role in the growth and development of our machine-enhancing sales force. You will be responsible for developing and maintaining a production data pipeline that supports the training and production of machine learning models. You will work closely with our core IT team to support the development and production data pipeline, review and implement data engineering best practices consistent with industry standards, and support the implementation of recent technology packages that support US Federal Market Data Science, including requirements gathering and solution analysis.

Responsibilities

* Develop and maintain a production data pipeline that supports the training and production of machine learning models

  • Work closely with our core IT team to support the development and production data pipeline
  • Review and implement data engineering best practices consistent with industry standards
  • Support the implementation of recent technology packages that support US Federal Market Data Science, including requirements gathering and solution analysis
  • Collaborate with cross-functional teams to identify and prioritize data engineering initiatives
  • Develop and maintain data engineering documentation, including data flow diagrams, data dictionaries, and technical documentation
  • Participate in code reviews and provide feedback to ensure high-quality code
  • Stay up-to-date with industry trends and emerging technologies in data engineering

Requirements

* S. citizenship is required

  • You must live in the United States
  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience
  • At least five years of professional experience related to data engineering in an enterprise environment
  • At least three years of experience supporting end-to-end development of scalable data pipelines, including monitoring and support for production
  • At least 3 years of experience in data warehousing, relational databases, JSON, Apache Hive, Spark, or Hadoop, or related technologies
  • Strong skills in Python and SQL
  • Experience in a US Federal agency is a plus
  • Experience with the Cloudera platform and Docker containers is a plus

Preferred Qualifications

* Master's degree in Computer Science, Engineering, or related field

  • Experience with cloud-based data engineering platforms, such as AWS or Azure
  • Experience with containerization, such as Docker
  • Experience with data governance and data quality initiatives
  • Experience with data visualization tools, such as Tableau or Power BI

Skills and Competencies

* Strong understanding of data engineering principles and practices

  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Ability to work in a fast-paced environment and prioritize multiple tasks
  • Strong attention to detail and ability to deliver high-quality results
  • Ability to learn and adapt to new technologies and tools

Career Growth Opportunities and Learning Benefits

* Opportunities for career growth and advancement in a dynamic and growing company

  • Access to training and development programs, including online courses and in-person training
  • Opportunities to work on high-impact projects and contribute to the growth and development of the company
  • Collaborative and inclusive work environment that values diversity and inclusion
  • Recognition and rewards for outstanding performance and contributions

Work Environment and Company Culture

* We are a remote-friendly company that offers flexible work arrangements and flexible hours

  • We prioritize work-life balance and offer a range of benefits to support employees' physical and mental well-being
  • We are committed to diversity and inclusion and strive to create an environment that is welcoming and inclusive for all employees
  • We offer a range of employee recognition and rewards programs to recognize outstanding performance and contributions

Compensation, Perks, and Benefits

* Competitive salary and bonus structure

  • Comprehensive health care benefits, including health, dental, and vision insurance
  • Retirement plans, including 401(k) and employee matching contributions
  • Paid vacation days, statutory holidays, and sick leave
  • Life insurance and disability benefits
  • Employee stock purchase plan (ESPP)
  • Employee assistance programs (EAPs)
  • Flexible work arrangements and flexible hours
  • Professional development opportunities, including training and development programs, tuition reimbursement, and career advancement opportunities
  • Employee discounts on Dell products and services
  • Wellness programs, including fitness classes, fitness challenges, and other initiatives
  • Diversity and inclusion initiatives, including employee resource groups and diversity and inclusion training

How to Apply

If you are a highly skilled and experienced data engineer looking to make a significant impact in the US Federal Sales Division of a leading technology company, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply Now! Apply for this job

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