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Senior Data Engineer Analyst at Mercor

posted 2 hours ago
mercor.com Full Time Menlo Park, CA 65-90/hr 32 views

Senior Data Engineer Analyst | $65–$90/hr | Menlo Park, CA (On-Site)

Join a high-impact analytics team supporting a leading technology company. As a Senior Data Engineer Analyst, you will design and maintain large-scale data pipelines, build automated reporting infrastructure, and partner with cross-functional teams to drive data-driven decision-making. This is a full-time, W-2 role employed through Cincinnatus, an enterprise staffing partner.

Key Responsibilities

  • Collaborate with growth marketers, program managers, and central analytics teams to define data and metrics requirements.
  • Design, build, and maintain automated dashboards, reports, and ongoing analyses using tools such as Tableau.
  • Build and optimize ETL pipelines to support large-scale marketing campaigns and automate campaign reporting.
  • Write high-quality SQL queries to extract and analyze data from complex database environments.
  • Partner with analytics and cross-functional stakeholders to identify and resolve data integrity and accuracy issues across reporting infrastructure and dashboards.

Required Qualifications

  • BA/BS degree in a STEM field.
  • 5+ years of hands-on experience with SQL (Oracle, Vertica, Hive, MySQL, or similar).
  • Proven experience building and operating distributed systems for large-scale data extraction, ingestion, and processing.
  • Strong background in ETL design, implementation, and maintenance.
  • Experience with Business Intelligence tools such as Tableau or MicroStrategy.
  • Proficiency in Python and R.
  • Self-starter with the ability to thrive in fast-changing, ambiguous environments.
  • Strong interpersonal, written, and verbal communication skills.

Preferred Qualifications

  • Demonstrated experience building large-scale data pipelines handling millions of rows.
  • Ability to guide teams on pipeline best practices and data engineering standards.
  • Leadership experience with a track record of managing projects and setting expectations.
  • Background in big tech or similar high-scale data engineering environments.

Note: Candidates with only small-scale pipeline experience are discouraged from applying. This role requires comfort and expertise working with very large datasets.

Work Authorization

Applicants must be located in the United States. Visa sponsorship is not available for this role.

How to apply for this role
  • Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
  • Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
  • Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.
Benture is an independent job board and is not affiliated with Mercor.

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