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Principal Consultant, Data Engineer

Lovelytics•Arlington, VA
•$130,000 - $170,000•Remote
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About The Position

Lovelytics is seeking a Principal Consultant, Data Engineer to play a key role in delivering on client engagements related to data warehousing, ETL development, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to partner technologies like Databricks, AWS, and Azure. The ideal candidate will have a passion for bringing meaning to data and thrive in a collaborative, dynamic, and inclusive environment. This role is open to remote candidates in the US and is not open for work sponsorship at this time.

Requirements

  • B.S. in Computer Science or equivalent
  • 3-5 years' experience in data engineering and big data.
  • At least 2 years working directly with clients and external stakeholders.
  • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks A must
  • Data modeling and database design skills and knowledge of version control
  • Excellent verbal and written communication skills
  • Is able to apply technical skills to engagement needs
  • Works with engagement leads and directors to gain exposure in the design and architecture of solutions
  • Understands and utilizes Lovelytics tools and client tools

Responsibilities

  • Utilize consulting and technical skills to be able to work in a client-facing project environment independently.
  • Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead.
  • Collaborate with other team members to successfully deliver on projects.
  • Work effectively and directly communicate with both internal and client and/or partner teams.
  • Develop full ownership of your execution on client engagements, you'll become involved in the project planning and solution stages of engagements as well.
  • Design and implement complex ETL/ELT pipelines with evidence of improved data processing times.
  • Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead.
  • Contribute to real-time data processing solutions and managed streaming data.
  • Implement security and compliance measures for data pipelines.
  • Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.

Benefits

  • The ability to work closely with experienced data engineers and quickly grow and expand your skillset
  • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
  • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
  • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better

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What This Job Offers

Job Type

Full-time

Career Level

Principal

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