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2027 Advance Program Data Associate (DC)

  • Arlington, VA, United States

$60,000 to $80,000 USD / year

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Job details

Pay
$60,000 to $80,000 USD / year
Posting language
English
Posted

Original job description

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.

Lovelytics is looking for new Associate members of our Advance Program!

“Advance” program hires the brightest minds from engineering universities who are seeking to be full-time data professionals. Our proprietary Advance Innovation Lab (AI Lab) finetunes technical and problem-solving skills to focus highly-motivated individuals to deliver solutions for Lovelytics' clients across business analysis, data science, cloud, data engineering, and visual engineering roles. Individuals achieve by learning side-by-side and growing as one community, united by creativity, positivity, and innovation.

Candidates must be able to work out of our Arlington VA office on a hybrid schedule (2+ days a week).

This role is not eligible for sponsorship at this time.

Primary Responsibilities

  • Work as part of a collaborative team.
  • Learn a variety of data skills, including data analysis, data engineering, and data science.
  • Identify client data needs and develop data-driven solutions.
  • Apply technical knowledge to client project needs.
  • With oversight of senior technical team members, own your assigned work and help the team successfully deliver on technical projects.

Qualification

  • A Degree in Information Systems, Computer Science, or equivalent.
  • Experience developing computer-based solutions or data science models.
  • Familiarity with the AWS or Azure or Databricks
  • An interest in learning and working with a wide range of cutting-edge technologies and cloud services.
  • Enthusiasm to solve a variety of technology- and data-based problems
  • Some experience with SQL and Python.
  • Business acumen and an ability to understand the data needs of various industries.
  • A drive and flexibility to do what it takes to get the job done.

The base salary range for this position is $60,000-80,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role, and geographic location. 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.

More about this job

Skills

  • Data engineering
  • Databricks
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Problem solving
  • Business analysis
  • Data analysis
  • Computer science
  • SQL
  • Python

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