2 дня назад
Data Engineering Manager
149 000 - 186 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Manager (Data Platforms): Building high-quality, scalable data pipelines, platforms, and data products with an accent on technical leadership, reliability, and cross-functional delivery. Focus on mentoring data engineers, reviewing architecture and code, resolving complex engineering challenges, and improving monitoring, data quality, governance, and compliance.
Location: Hybrid in Atlanta, Georgia, United States
Salary: $149,000–$186,000 USD annually
Company
is a mobile gaming and sports betting company operating sportsbook, iGaming, horse racing, daily fantasy sports, and streaming products across the United States and Canada.
What you will do
- Lead, coach, and mentor a team of data engineers while supporting career development and performance feedback.
- Guide the design and implementation of scalable data pipelines, platforms, and data products.
- Review architecture and code, provide technical direction, and help resolve complex engineering challenges hands-on when needed.
- Partner with product managers, data scientists, analysts, and business stakeholders to translate requirements into delivery plans.
- Promote monitoring, alerting, incident response, data quality, governance, compliance, and continuous workflow improvement.
Requirements
- 6+ years of experience in data engineering or software engineering, including 1–2 years in team leadership or mentorship.
- Experience building and maintaining data pipelines and platforms with tools such as Spark, dbt, Airflow, Kafka, or Databricks.
- Proficiency in SQL and at least one programming language, such as Python, Scala, or Java.
- Experience with cloud data platforms including AWS, GCP, or Azure.
- Strong communication and collaboration skills across technical and non-technical teams.
Nice to have
- People management or technical leadership experience in a data engineering or analytics team.
- Familiarity with machine learning workflows, data observability, and streaming architectures.
- Experience in a product-driven, customer-focused organization.
- Understanding of data privacy, security, and compliance frameworks.
Culture & Benefits
- Medical, vision, dental, life, and disability insurance.
- 401(k) matching of up to 5%, paid personal time off, and paid sick leave.
- 14 paid company holidays, commuter benefits, pet insurance, and fitness and mental health programs.
- Fertility and family planning support, annual bonuses, and long-term incentive opportunities based on performance.
- Inclusive workplace focused on collaboration, respect, and equal employment opportunity.
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