Remote Data Engineer

Description:

• Develop, maintain, and optimize data pipelines for analytics and machine learning workloads.
• Ensure reliability, scalability, and performance of data workflows.
• Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis.
• Work in a remote-first environment with occasional in-person attendance for trainings and meetings.

Requirements:

• 2–4 years of experience in Data Engineering, Analytics Engineering, or a related field.
• Proficiency in Python and SQL for data processing and transformation.
• Experience with Databricks, Spark, or similar distributed data processing platforms.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving and communication skills.

Benefits:

• Competitive salary ($120,000 - $140,000 a year).
• Remote work options with hybrid flexibility and home office set-up stipend.
• Health, dental, and life insurance coverage.
• Open vacation policy and flexible holiday schedule.
• Paid parental leave and career development opportunities.