Senior Data Engineer
August 23
🏡 Remote – New York
Description
• Responsible for designing, implementing, and optimizing data analytics infrastructure • Develop and maintain data models, dashboards, and reports to support business analytics
Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field • 5+ years of experience in data engineering, data analytics, or a related field • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) • Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., BigQuery, Snowflake) • Proficiency in programming languages such as Python or Scala • Experience with data visualization tools (e.g., Tableau, Power BI, Looker) • Strong understanding of ETL processes, data modeling, and data warehousing concepts • Excellent problem-solving skills and attention to detail • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative environment
Benefits
• Company-paid medical, dental, & vision for you and your dependents • Gym subsidy • 401(k) with 4% employer contribution • Annual $1,500 education stipend • Unlimited and encouraged time off • Up to 16 weeks paid parental leave • Home office setup stipend for remote employees • Daily lunches at NY headquarters
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