Data Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (Databricks/Airflow): Designing, building, and scaling foundational data infrastructure that powers analytics and machine learning with an accent on pipeline reliability, performance, and cost-efficiency. Focus on building scalable ETL/ELT pipelines, optimizing distributed compute, and improving developer experience for high-impact data workloads.
Location: Hybrid (New York City)
Salary: $125,000 - $163,800 USD
Company
is a premier mobile gaming company in the United States and Canada, operating leading brands in sports betting and iGaming.
What you will do
- Design, develop, and deliver scalable data pipelines and platform components using Databricks and Airflow.
- Optimize data workflows by identifying bottlenecks and implementing performance improvements independently.
- Lead design and code reviews to set high standards for code quality, testability, and engineering excellence.
- Drive architectural decisions regarding pipeline design, data modeling, and tooling trade-offs.
- Ensure operational excellence for production pipelines through monitoring, alerting, and incident response.
- Mentor junior engineers and partner with analytics and data science teams to drive platform adoption.
Requirements
- 3+ years of experience with Apache Airflow, including building and maintaining production DAGs.
- 3+ years of professional Python development in a data engineering context.
- 3+ years of experience with Databricks and Delta Lake for ETL/ELT pipeline delivery.
- Strong experience with cloud environments (AWS, Azure, or GCP), including IAM and secure data access.
- Proficiency with Terraform (IaC), Git-based workflows, and CI/CD practices.
- Ability to independently scope and deliver solutions for ambiguous technical problems.
Nice to have
- Experience with dbt for transformation layers.
- Familiarity with data observability tools like Monte Carlo or Datafold.
- Knowledge of data governance, privacy, and compliance practices.
- Experience supporting BI and data science teams in an infrastructure capacity.
Culture & Benefits
- Comprehensive health plans (medical, vision, dental) with some options as low as $0 per paycheck.
- 401(k) matching program up to 5%.
- Generous paid time off (PTO), sick leave, and 14 paid company holidays.
- Annual performance-based bonuses and long-term incentive opportunities.
- Additional perks including commuter benefits and pet insurance.
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