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Software Engineer II, Data Analytics & Engineering

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Onsite

Software Engineer II, Data Analytics & Engineering

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Software Engineer II, Data Analytics & Engineering

Skills

SQL QueriesPythonRData AnalysisAI

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

22 September 2026

What they need


For our client, we are seeking a Software Engineer II, Data Analytics & Engineering to join the team of a leader in the Consumer Technology space.

This role will focus on building and improving data systems that enable reliable analytics, trusted datasets, and scalable insights across the organization. You will partner closely with Data Scientists, Engineers, and other cross-functional stakeholders to turn business needs into technical solutions that support experimentation, reporting, and decision-making. The position also emphasizes strong data quality, documentation, and responsible use of AI to improve engineering workflows and output.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $123,696 – $254,667 annually

Responsibilities

  • Develop and document standards for practical instrumentation and experimentation
  • Build and enhance scalable analysis pipelines and tools for reliable insights
  • Create processes that enable Data Scientists and Engineers to access trusted datasets independently
  • Identify and advocate for improvements in data quality and discoverability
  • Maintain clear documentation for tools, datasets, metrics, and practices
  • Collaborate with cross-functional teams to communicate actionable insights
  • Utilize AI to expedite analysis and ensure quality and responsible application

Qualifications

  • Minimum 2 years of experience in analytics engineering or data solutions within a fast-paced environment
  • Proficient in SQL and Python, R, or a similar language for handling large datasets
  • Experience with data workflows, ETL/ELT pipelines, and complex dataset management
  • Ability to effectively translate partner needs into technical objectives across teams
  • Demonstrated skill in leveraging AI to enhance engineering processes
  • Proven track record of validating and critiquing AI-assisted output
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a similar field, or equivalent experience

Benefits

  • Flexible work model with occasional in-office collaboration requirement
  • Focus on an equitable and inspiring workplace culture
  • Eligibility for equity in addition to compensation

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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