9 часов назад
Analytics Engineer (Python/SQL)
113 000 - 132 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (Python/SQL): Building scalable data pipelines, analytics datasets, and data foundations that support product decisions across consumer products and client surfaces with an accent on data quality, event-based data, and reliable ETL workflows. Focus on deploying Airflow pipelines, supporting CI/CD and automated testing, designing anomaly detection, and enabling data democratization through automation and tooling.
Location: Denver, Colorado, United States; hybrid with three days in the office on Tuesday, Wednesday, and Thursday. Candidates must live in the United States. A relocation bonus is available for candidates moving to Denver.
Base compensation: $113,000–$132,000 per year, plus equity.
Company
is a performance marketing platform that enables brands to deliver digital promotions to consumers through the Performance Network.
What you will do
- Build scalable data pipelines, analytics datasets, and data foundations for product and business decisions.
- Collaborate with Decision Scientists, Data Scientists, engineering, data engineering, and analytics teams to aggregate, normalize, validate, and document data.
- Identify, test, and maintain event-based data, business logic, rollups, and aggregation tables throughout the data lifecycle.
- Deploy and maintain Airflow pipelines while supporting Databricks Asset Bundles migration, CI/CD, and automated testing with GitHub Actions.
- Build data democratization tools, automated alerting, and anomaly detection workflows.
- Own multiple projects end to end while minimizing technical debt and exploring AI-supported engineering tools.
Requirements
- Must live in the United States and be authorized to work in the United States on a full-time basis.
- At least 3 years of practical experience in data engineering supporting analytics teams, analytics engineering, or BI development.
- Bachelor’s degree in Computer Science, Engineering, Analytics, Statistics, Economics, or a related field.
- Production experience with Python, SQL, ETL, and data pipelines.
- Experience applying data quality principles, including schema validation and data contracts.
- Experience troubleshooting data anomalies and pipeline issues, supporting CI/CD, automated testing, cluster configuration, and data lifecycle management.
Nice to have
- Experience with Databricks or similar cloud data warehouse platforms.
- Familiarity with Databricks Asset Bundles, Looker, or LookML.
- Experience with AI-supported development tools such as Claude or Copilot.
Culture & Benefits
- Flexible time off and medical, dental, and vision benefits.
- Employee Stock Purchase Program and 401(k) match.
- Denver office perks include paid parking, snacks, and occasional meals.
- Work guided by values including integrity, boldness, ownership, teamwork, and transparency.
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