Plein Air Agency

A marketing & technology consultancy purpose-built for restaurant brands.

Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteTeam 51-200Since 2016H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

35 days ago

Salary

Not specified

Bachelor Degree5 yrs expExperience acceptedEnglishAirflowAmazon RedshiftBig QueryCloudETLPythonSQL

Job Description

• Designing, building, and maintaining data pipelines, models, and infrastructure for analytics • Partnering with analytics, guest engagement, media, and technology teams to ensure data reliability • Owning the transformation of raw data to trusted, analytics-ready datasets • Establishing and evolving modeling standards for consistency, performance, and usability • Owning the development and maintenance of cloud-based ETL/ELT pipelines • Monitoring pipeline health, data freshness, and quality; solving issues impacting analytics or client reporting • Implementing data quality checks and maintaining clear documentation of data processes • Collaborating with cross-functional teams to understand evolving data needs

Job Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field — or equivalent practical experience
  • 5+ years of experience in data engineering or analytics engineering roles within a cloud environment
  • Advanced SQL skills, including complex transformations, performance tuning, and analytical modeling
  • Strong Python experience for data transformation, automation, and pipeline support
  • Experience working in modern cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
  • Hands-on experience with transformation frameworks such as dbt or similar tools
  • Familiarity with orchestration, monitoring, and version control tools (e.g., Airflow, Git)

Benefits

  • Professional Development & Growth
  • High-impact, hands-on ownership without people management
  • Direct influence on analytics quality and client trust
  • Agency pace with modern data tooling and real-world business problems

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