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Penn Interactive
Penn Interactive
201 – 500 Xodimlar
H1B vizasi homiysiElektron tijoratO‘yinlarQimor
Penn Interactive develops digital products for sports betting and online casino gaming as the digital arm of PENN Entertainment. Based in Philadelphia, with additional offices in Greenfield, Massachusetts, and Cherry Hill, New Jersey, the company operates Barstool Sportsbook and works with Barstool Sports and theScore to deliver betting experiences through mobile apps and retail locations. Its work sits at the intersection of gaming, gambling, and eCommerce.
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Kompaniyadagi ish o‘rinlari

Senior Data Engineer

Build SQL, dbt, and Airflow pipelines supporting Penn Interactive’s online gaming and sports platforms. Deliver reliable analytics and recommendations to business stakeholders.

CAKanada
130 000 $ – 175 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
AirflowBigQueryPythonSQL

Tavsif

  • Transform and validate data to meet stakeholder needs.
  • Partner with business stakeholders to identify data projects and opportunities.
  • Work with data engineers to build pipelines and resolve related issues.
  • Create dbt models using SQL.
  • Manage Airflow tasks and schedules.
  • Help teammates resolve data issues in analysis and modeling.
  • Analyze data and present clear recommendations to business stakeholders.
  • Review team analyses for accuracy and useful insights.
  • Support the organization-wide implementation and adoption of a data exploration tool.
  • Contribute to data engineer hiring, onboarding, and professional development.
  • Mentor colleagues.

Talablar

  • Hold a university degree in Computer Science, Statistics, Business, or a related field.
  • Have at least four years of experience in analytics engineering or data engineering.
  • Bring hands-on expertise in BigQuery, dbt, Airflow, Python, and relational databases.
  • Have a track record of building and optimizing data transformation pipelines.
  • Build strong working relationships with internal and external stakeholders.
  • Have experience with a data exploration tool such as Looker or Mode.
  • Have an interest in sports and consumer products.

Imtiyozlar

  • Competitive compensation package.
  • A fun, relaxed work environment.
  • Education and conference reimbursements.
  • Career development opportunities, including mentoring others.
  • Bonus eligibility for most non-sales roles.
  • For eligible employees, benefits include personalized physical, financial, and emotional support options.

O‘xshash ish o‘rinlari

Akamai Technologies

Senior Software Engineer, Data Services

Akamai Technologies
5 001 – 10 000 Xodimlar
H1B vizasi homiysiBulutli hisoblashKiberxavfsizlikKontent yetkazib berish
CAKanada
120 400 $ – 216 600 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
BulutGoJavaMikroservislarOraclePostgresPythonTaqsimlangan tizimlar

Build backend data services, APIs, microservices, and pipelines for Akamai’s distributed cloud platform. Improve database performance and reliability across large-scale workloads.

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Lovelytics

Data Governance Architect at Lovelytics (Remote, United States)

Lovelytics
501 – 1 000 Xodimlar
KonsaltingKorxonaSun’iy intellekt
CAKanadaUSAmerika Qo‘shma ShtatlariILIllinoysNYNyu-YorkVAVirjiniya
155 000 $ – 200 000 $ / yil
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
BulutmacOSSparkUnity

Lead data and AI governance strategy, cloud architecture, migrations, and governance implementations for Lovelytics’ enterprise consulting clients. The role combines technical delivery, client advisory work, presales, and Databricks-based solutions.

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Warner Music Group

Maʼlumotlar va sunʼiy intellekt bo‘yicha katta Forward Deployed muhandis — Kanadada masofadan

Warner Music Group
1 001 – 5 000 Xodimlar
H1B vizasi homiysiMedia
CAKanada
112 000 $ – 165 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
ETLPython

Warner Music Group musiqa leyblari manfaatdor tomonlari uchun to‘liq stekli maʼlumotlar va sunʼiy intellekt yechimlarini yaratadigan katta Forward Deployed muhandisni ishga olmoqda. Lavozim Python, Snowflake, Databricks va Streamlit yordamida ish jarayonlarini avtomatlashtirishga qaratilgan.

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