16 часов назад
Data Engineer
116 000 - 145 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python/SQL/Spark): Building and maintaining scalable batch and streaming data pipelines that power analytics, machine learning, AI, and business decision-making with an accent on data reliability, quality, and cloud-based platforms. Focus on designing data infrastructure, troubleshooting pipeline issues, implementing observability and testing, and translating business questions into actionable engineering solutions.
Location: New York City, hybrid
Salary: $116,000–$145,000 USD per year
Company
Group is a mobile gaming and sports betting company operating sportsbook, casino, horse racing, daily fantasy sports, and media products across the United States and Canada.
What you will do
- Design, build, and maintain scalable batch and streaming data pipelines for analytics and business operations.
- Develop clean, efficient, and documented code using Python, SQL, and Spark.
- Deliver data solutions supporting machine learning, data science, analytics, and AI use cases.
- Collaborate with data analysts, data scientists, and product managers to translate business questions into engineering tasks.
- Monitor pipelines, troubleshoot issues, and implement data quality checks, observability, and testing practices.
- Document data sources, transformations, and architecture decisions while participating in code reviews and agile planning.
Requirements
- 3+ years of experience in data engineering, analytics engineering, or software engineering focused on data.
- Strong SQL skills and proficiency in at least one programming language, such as Python, Java, or Scala.
- Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
- Understanding of data modeling, data warehousing, and ETL/ELT best practices.
- Experience with cloud-based data platforms including AWS, GCP, or Azure.
- Ability to work in a hybrid role based in New York City.
Nice to have
- Experience supporting BI, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Willingness to learn new technologies and contribute to team growth.
Culture & Benefits
- Health plans including fertility and family planning, mental health support, and fitness benefits.
- Paid time off, sick leave, and 14 paid company holidays.
- Annual bonus and long-term incentive opportunities based on performance.
- 401(k) plan with up to a 5% company match.
- Commuter benefits, pet insurance, and other employee benefits.
- Equal employment opportunity and reasonable workplace accommodations.
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