Senior Data Engineer

Responsibilities:

• Partner across engineering organizations to spearhead high-impact, company-wide initiatives.
• Mentor and upskill junior engineers, fostering a culture of technical excellence.
• Design and architect scalable, high-performance data solutions and own the end-to-end data engineering lifecycle.

Qualifications:

• 6+ years of professional experience as a Data Engineer or similar, with a BE in Computer Science or equivalent.
• Experience building scalable data pipelines in Spark using Airflow or similar scheduling tools.
• Proficiency in Python/Scala and SQL, with experience using Databricks and modern databases.

Compensation & Benefits:

• Competitive base pay with ranges by geographic zone, plus eligibility for benefits, bonuses, commissions, and equity.
• Flexible work environment with options to work in an office, from home, or a combination.
• Access to health and wellbeing resources and paid volunteer days.