Senior/First Data Engineer

Position Summary

The Senior/First Data Engineer will play a crucial role in building, maintaining, and enhancing ETL processes that drive our analytics and machine learning platforms. This individual will be responsible for developing actionable insights from complex data sets, and work closely with various business units to inform strategy and decision-making.

You will be the first hire in this function.

Location

• SF Bay Area, NYC, or Remote

Key Responsibilities

1. ETL & Backend Development:

• Design and optimize ETL pipelines.

• Develop robust backend systems for large-scale data processing using Elixir and database solutions like Cassandra/ScyllaDB.

1. Data Architecture:

• Design scalable and efficient data models for Cassandra and ScyllaDB.

• Ensure data integrity, quality, and security.

1. Data Science Support:

• Collaborate with data scientists, providing them with clean and reliable datasets.

• Assist in implementing and scaling data science models.

1. Innovation & Research:

• Stay abreast of latest technologies.

• Recommend technical improvements for data processing and storage.

Qualifications

Required

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

• 5+ years of experience in backend development, with a strong focus on data engineering.

  • Technical skills: Expertise in Python, Java, Scala, and Elixer for backend and ETL processes.

  • Mastery of ETL tools/frameworks (e.g. Apache Kafka, Apache Airflow).

  • Deep knowledge of SQL/NoSQL databases, including Cassandra and ScyllaDB, and data warehousing solutions (e.g., Redshift, BigQueary, Snowflake).

  • Proficiency in cloud platforms (AWS, GCP, Azure) and distributed systems.

  • Familiarity with data science concepts, tools, and libraries (e.g. Pandas, Scikit-learn).

  • Soft Skills: Exceptional problem-solving skills.

  • Strong communication for technical and non-technical discussions.  

Nice-to-have

• Experience with cloud platforms like AWS, GCP, or Azure.

• Exceptional communication skills, both verbal and written.

• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Benefits

• Competitive salary ($150,000-$225,000/year) and stock options

• Comprehensive health, dental, and vision plans

• 401(k) 

• Flexible working hours and remote work options

• Regular team building events and activities