Lovelytics

Principal Consultant, Data Engineer

United States full-time Senior $130,000 - $170,000
full-time Senior level Technology & IT Salary listed Curated
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About the role

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP.

In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle.

Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000.

This Principal Consultant will 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 our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data.
This role is open to remote candidates in the US.

This role is not open for work sponsorship at this time.
Primary 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.

Our Ideal Candidate's Skills and Experiences:

B.S. in Computer Science or equivalent

5-7 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

What We Promise You:

Exciting projects with great clients in varying departments and verticals across the world

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

The base salary range for this position for candidates based in the US is $130,000-170,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.
Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT Business Development Data Analysis MySQL Remote Collaboration Senior level full-time

Likely questions

  1. Tell us about work you have done that is close to the Principal Consultant, Data Engineer role.
  2. How would you approach your first 30 days at Lovelytics?
  3. Which of Business Development, Data Analysis and MySQL have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Business Development, Data Analysis and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Principal Consultant, Data Engineer role because I can bring practical experience in Business Development, Data Analysis and MySQL, learn the team quickly, and contribute to the outcomes Lovelytics needs from this hire.

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