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Senior Data Engineer / Analyst (Remote – US)

Role overview

Qualifications

  • 4–6 years of experience in data engineering or data analysis roles.
  • Proficiency in Python for data processing and analysis.
  • Experience with data visualization tools such as Looker, Tableau, or Amplitude.

Responsibilities

  • Design, implement, and maintain data pipelines to support analytical and operational needs.
  • Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.
  • Utilize Python for data manipulation and analysis, ensuring high-quality data processing.
  • Develop interactive dashboards and visualizations using Looker, Tableau, and Amplitude to communicate insights effectively.

Key facts

Hard skills

Other skills

  • Collaboration
  • Analytical Skills
  • Mentorship

About the company

Recruiting from Scratch logo

Recruiting from Scratch

  • Staffing & Recruiting
  • Small startup
  • 11–50
Recruiting from Scratch provides recruiting services for companies that need to hire the best talent.

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Job description

Senior Data Engineer / Analyst (Remote – US)

  • Title of Role: Senior Data Engineer / Analyst (Remote – US)
  • Location: New York, remote
  • Company Stage of Funding: Series B — Enterprise, B2B, Data
  • Office Type: Remote
  • Salary: $180K–$220K

Company Description

We're representing a dynamic company that serves as an end-to-end market research partner, designed to address the toughest B2B questions with confidence. With a strong focus on data-driven insights, our client is committed to empowering businesses through innovative solutions in the enterprise data space.

What You Will Do

  • Design, implement, and maintain data pipelines to support analytical and operational needs.
  • Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.
  • Utilize Python for data manipulation and analysis, ensuring high-quality data processing.
  • Develop interactive dashboards and visualizations using Looker, Tableau, and Amplitude to communicate insights effectively.
  • Monitor and optimize data workflows to improve performance and reliability.
  • Conduct data quality assessments and implement solutions to enhance data integrity.
  • Provide support and mentorship to junior data team members, fostering a culture of continuous learning.

Ideal Candidate Background

  • 4–6 years of experience in data engineering or data analysis roles.
  • Proficiency in Python for data processing and analysis.
  • Experience with data visualization tools such as Looker, Tableau, or Amplitude.
  • Strong analytical skills with a proven ability to interpret complex data sets and derive actionable insights.

Preferred

  • Familiarity with cloud-based data platforms and services.
  • Experience working in a B2B enterprise environment.
  • Knowledge of data warehousing concepts and best practices.

Compensation and Benefits

The base salary for this role ranges from $180K to $220K, commensurate with experience. Our client offers a comprehensive benefits package that supports work-life balance and professional growth.

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