Job Description

A Silicon Valley-based startup - **KODIF** - is looking for a Senior Data Engineer!

About us:

• Kodif is a B2B seed-stage, venture-backed startup. We're empowering CX (customer experience) teams with data, automation, and Gen AI.
• We enable non-technical teams to build customer support automation without relying on engineers. Imagine ChatGPT which is customized to your company and brand, where you can take actions on behalf of your agents and customers
• We grew 7 times in 2023 and continue to grow fast. It's an exciting time to join right now, with a plan to raise Series A in Q4 2024.
• Kodif is a well-funded startup, having raised $6.5M so far. Our Pre-seed round was led by Village Global, which is backed by Jeff Bezos, Bill Gates, and Reid Hoffman. The Seed round was led by Bling Capital, a prominent fund in Silicon Valley.
• We have a growing team of 20+ employees. Founders are repeat founders, former senior engineer from Uber, Stanford MBA, and ex-Plug & Play.
• You'll be part of a small team that moves fast, values transparency and ownership, and focuses on making an impact.
• You'll have the opportunity to communicate and collaborate effectively with cross-functional teams to produce high-quality software.
• Customer logos include GoodEggs, ReserveBar, Minted, Dollar Shave Club, Halo Collar, NomNomNow (sold to Mars for 1 billion $), Trustwallet, and others.
  
  

Position Overview:

As a Senior Data Engineer, you will play a critical role in designing, implementing, and optimizing our data infrastructure. You will work closely with data scientists, software engineers, and product managers to ensure seamless data integration and support our machine learning initiatives.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and software engineers to integrate data solutions into our product.
• Ensure data quality and integrity through comprehensive testing and validation.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Develop and enforce data governance and security policies.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
  
  

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or a related field.
• Strong proficiency in SQL and experience with relational databases.
• Expertise in data pipeline and ETL tools (e.g., Apache Airflow, Apache NiFi, AWS Glue).
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Experience with machine learning and data science workflows is a plus.
  
  

Cultural Fit:

• Ownership: Takes responsibility for projects and delivers high-quality results.
• Independence: Works well with minimal supervision and takes initiative.
• Code Quality: Committed to writing clean, maintainable, and efficient code.
• Resourcefulness: Able to find innovative solutions to complex problems.
• Team Work: Collaborates effectively with team members and contributes to a positive team culture.
  
  

Benefits:

• Opportunity to work with a passionate and driven team.
• Professional development opportunities and continuous learning.
  
  

Location:

• Remote, California working hours
  
  

Join us in disrupting the Customer Support market and making a lasting impact! 🚀