Data Engineer II

Job not on LinkedIn

🔥 5 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $118.8k - $156.3k / year

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fanatics Betting & Gaming

WebsiteAll Job Openings

- employees

🎲 Gambling

⚽ Sports

👥 B2C

Gambling • Sports • B2C

Fanatics Betting & Gaming is a consumer-facing U. S. sports betting and online casino operator (branded as Fanatics Sports & Casino / Fanatics Sportsbook / Fanatics Casino) that offers sportsbook betting, online casino games, event contract trading (Fanatics Markets), and a unified loyalty currency called FanCash. It provides mobile apps and web experiences, state-by-state availability across many U. S. jurisdictions, promotional offers, partnerships with sports teams, and responsible-gaming tools and disclosures. Morton St. Trading Investments, LLC handles the event-contract trading side and is CFTC-registered.

📋 Description

• Implement ingestion pipelines and Airflow DAGs from senior engineers' designs, including code, unit tests, and documentation • Support data security and governance work, including PII masking and access controls • Contribute to reverse ETL and other data delivery work under senior engineer guidance • Extend existing pipelines and apply review feedback • Take on-call pages for pipeline failures, follow runbooks, and escalate with clear context • Pair with senior engineers on data integrity issues • Write reviewer-friendly pull request descriptions and ask clarifying questions • Flag blockers early • Build relationships with BI analysts, data engineers, data scientists, and other internal stakeholders • Gather and clarify requirements • Conduct and participate in code and system inspections • Help define and follow data engineering best practices • Mentor more junior data engineers as the role develops

🎯 Requirements

• 1–3 years of professional software or data engineering experience • Strong ability to gather, evaluate, and analyze requirements • Solid foundation in Python • Deep understanding of SQL and ETL/ELT for complex data transformations • Ability to read and write unit tests and work within an established codebase and conventions • Familiarity with or eagerness to quickly learn Airflow / Managed Workflows for Apache Airflow • Basic understanding of ingestion, idempotency, scheduling, and data quality • Knowledge of several of Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL • Familiarity with Git-based version control and pull-request code review workflows • Strong communication skills, including asking clarifying questions, writing clear PR descriptions, and escalating blockers with useful context • Growth mindset and ability to apply review feedback and champion best practices

🏖️ Benefits

• Base salary and bonus • Benefits information provided at https://benefitsatfanatics.com/ • Potential in-person onboarding experience through Launching into Better: LIVE for full-time, non-seasonal hires • Company-paid or supported travel/participation for applicable onsite interviews or onboarding sessions (requirements confirmed by role and location)

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