Amplify

Staff Data Engineer

Amplify

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $145,000 - $155,000 per year

Job Level

Lead

Tech Stack

AirflowETLPythonSQLTableau

About the role

  • Work with data scientists, data analysts, data engineers, and software engineers to provide clean, accurate, reliable models and metrics for our products
  • Architect data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots
  • Create data solutions using tools like Snowflake, Airflow, DBT, SQL, Python, Cube.dev
  • Lead collaboration, pull request-ing, CI/CD processes, and mentoring on a cross-functional team
  • Participate in cross-team share-outs, brownbags, and workshop series
  • Become an expert in the data models and standards within Amplify to deliver quality and consistent solutions

Requirements

  • BS in Computer Science, Data Science, or equivalent experience
  • 8+ years of professional software development or data engineering experience
  • 5+ years experience in computer, data, and analytics engineering
  • Expertise in SQL and its use in code-based ETL frameworks, preferably dbt
  • Expertise in ETL/ELT pipelines, analytical data modeling, aggregations, and metrics
  • Expertise in dbt and git preferably with automation skills
  • Expertise in analytical modeling architectures, including the Kimball design
  • Strong communication skills in writing and conversation, including writing engineering training documentation
  • Fluency in a development language such as Python (preferred)
  • Familiarity with metadata management tools such as Atlan (preferred)
  • 3+ years Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker (preferred)
Benefits
  • Competitive health insurance and mental health options
  • 401(k) plan
  • Basic life insurance
  • Paid time off
  • Parental leave
  • Access to best-in-class development programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonETLELTdata modelingaggregationsmetricsdbtgitanalytical modeling
Soft skills
communicationmentoringcollaborationdocumentation
Certifications
BS in Computer ScienceBS in Data Science