Data Engineer II

Emploi pas sur LinkedIn

🕒 il y a 10 jours

🗽 New York – Distant

🗽 New York – Remote

💵 $118 000 - $156 000 / an

⏰ Temps Plein

🟢 Junior

🚰 Ingénieur Data

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Sky Betting & Gaming

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🎲 Jeux d'argent

🎮 Jeux vidéo

👥 B2C

Gambling • Gaming • B2C

Sky Betting & Gaming est un opérateur de paris et de jeux en ligne orienté vers le consommateur basé au Royaume-Uni. Désormais intégré à Flutter UK & Ireland et au groupe plus large Flutter Entertainment, la marque est présentée aux côtés de Betfair, Paddy Power, PokerStars et tombola comme un fournisseur leader de divertissement fiable pour des millions de clients. L'entreprise met l'accent sur le jeu responsable, l'expérience client et utilise des plateformes numériques (web et applications) pour fournir des services de paris et de jeux, avec une présence opérationnelle à Leeds et un enregistrement sous Flutter Entertainment plc.

Description

• Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions — including writing the code, unit tests, and documentation • Support data security and governance work, such as PII masking and access controls, following established patterns • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed • Pair with senior engineers on data integrity issues you can't yet diagnose alone • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work • Flag blockers early and with context rather than going quiet when stuck • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements • Conduct and participate in code and system inspections • Help the team define and adhere to data engineering best practices • Mentor more junior data engineers as you grow into the role

🎯 Exigences

• 1–3 years of professional software or data engineering experience • A self-learner with a strong ability to gather, evaluate, and analyze requirements • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations • Comfort reading and writing unit tests, and working within an established codebase and conventions • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow) • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL • Familiarity with Git-based version control and PR-based code review workflows • Strong communication skills — asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt.

🏖️ Avantages

• For information about our benefits, please visit https://benefitsatfanatics.com/