17 часов назад
Data Engineer (Python)
116 000 - 145 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python): Building scalable batch and streaming data pipelines and infrastructure that power analytics, machine learning, and business decision-making with an accent on data reliability, quality, and cloud-based platforms. Focus on designing high-volume pipelines, supporting AI and data science use cases, and troubleshooting production data systems.
Location: Hybrid in New York City, United States
Salary: $116,000–$145,000 USD per year
Company
is a mobile gaming and sports wagering company operating sportsbook, casino, horse racing, daily fantasy sports, television, and streaming products across the United States, Canada, and other markets.
What you will do
- Design, build, and maintain scalable batch and streaming data pipelines for analytics and business operations.
- Develop clean, efficient, and documented solutions using Python, SQL, Spark, and modern data engineering tools.
- Deliver reliable data infrastructure supporting machine learning, data science, analytics, and AI use cases.
- Collaborate with analysts, data scientists, product managers, and engineering stakeholders to translate business questions into technical solutions.
- Monitor pipelines, troubleshoot operational issues, and implement data quality, 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 Databricks, Airflow, dbt, Spark, Kafka, or similar modern data tools.
- Understanding of data modeling, data warehousing, and ETL/ELT best practices.
- Experience with at least one cloud data platform: AWS, GCP, or Azure.
- Ability to work in a hybrid role based in New York City.
Nice to have
- Experience supporting business intelligence, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Eagerness to learn new technologies and contribute to team growth.
Culture & Benefits
- Medical, vision, dental, life, and disability insurance.
- 401(k) plan with up to a 5% company match.
- Paid personal time off, sick leave, and 14 company holidays.
- Annual bonus and long-term incentive opportunities based on performance.
- Fertility and family planning, mental health, fitness, commuter, and pet insurance benefits.
- Equal opportunity workplace with reasonable accommodations available during hiring and onboarding.
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