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Data Engineer

Logic, Inc.
USA
Full-time
Onsite
USD 72-92 hourly
Discovered 1 months ago
Data engineeringPythonSQLData pipelinesData processingData architecture

Full Job Posting

Role overview

Accenture Flex describes this as a fixed-duration, project-based Data Engineer role with team leadership and consulting responsibilities.

The role focuses on data solutions, pipelines, processing, analytics, and collaboration across teams.

Responsibilities

  • Design, develop, and maintain data solutions; build scalable architectures, pipelines, and ETL processes while ensuring data quality.
  • Guide colleagues, collaborate across teams, analyze reliability and efficiency challenges, and promote data management best practices.
  • Use Python and SQL for pipeline engineering and analysis of product performance and feature relevance.
  • Build campaign KPI dashboards and visualizations, analyze marketing engagement, and recommend campaign or product optimization.
  • Manage analytics tooling features end to end, including intake, requirements, team alignment, execution, QA, and stakeholder communications.
  • Consult with marketers, analysts, and data engineering, product, and data science teams on reporting needs and client initiatives.

Basic qualifications

  • At least 4 years of data engineering experience.
  • Advanced proficiency in data engineering, Python, SQL, data pipelines, and data processing.
  • High school diploma or GED.

Preferred qualification

  • Expert proficiency in data pipelines and data processing is preferred.

Workplace

  • Accenture Flex employees work in their local metro area onsite at the project; the arrangement is intended to reduce or eliminate travel.

Compensation

  • The listed hourly salary range is $72–$92 for California and the other specified jurisdictions; compensation varies by location, role, skills, and experience.

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