Senior Consultant, Data Engineer

7 hours, 26 minutes ago
Full-time
Junior
Operations
Lovelytics

Lovelytics

Lovelytics specializes in providing data, analytics, and AI consulting services, focusing on accelerating, optimizing, and modernizing clients' data and AI ecosystems to drive impactful business outcomes.

Professional Services
51-250
Founded 2017

Description

  • Deliver client-facing technical work independently within project environments.
  • Own execution and lead individual workstreams under engagement lead supervision.
  • Collaborate and communicate effectively with internal, client, and partner teams.
  • Participate in project planning and solution design.
  • Design and implement complex ETL/ELT pipelines that improve data processing times.
  • Lead small data warehousing projects and deliver measurable performance enhancements.
  • Develop real-time data processing and managed streaming solutions.
  • Implement security and compliance measures for data pipelines.
  • Design version control and branching strategies integrated with CI/CD workflows.

Requirements

  • Bachelor’s degree in Computer Science or equivalent experience.
  • 2–3 years of experience in data engineering and big data.
  • At least 1 year of experience working directly with clients and external stakeholders.
  • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines with Databricks.
  • Experience with data modeling, database design, and version control.
  • Strong verbal and written communication skills.
  • Ability to apply technical skills to client engagement needs.
  • Experience working with engagement leads and directors on solution design and architecture.
  • Ability to use company and client tools.
  • Must be authorized to work in the US; sponsorship is not available.

Benefits

  • Remote work opportunity for candidates in the US.
  • Base salary range of $90,000–$125,000 per year.
  • Exposure to projects across industries and company sizes, including Fortune 100 organizations.
  • Opportunities to work with experienced data engineers and expand technical skills.
  • Encouragement to develop new technologies, methodologies, and processes.
  • Collaborative, diverse, and inclusive workplace.
  • Equal opportunity employer committed to pay equity and compensation transparency.

Interested in this position?

Apply directly on the company website

Apply Now

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