Data Engineer

Location: Kfar Saba, Israel (hybrid)

Next Insurance is a fast-growing tech company based in Silicon Valley that is led by a team of experienced entrepreneurs with a history of successful outcomes. Our mission is to transform insurance for small businesses by combining world-class technology and phenomenal customer service to offer better insurance at a lower price. As the leading digital InsurTech company transforming small business insurance, we are proud to have achieved a company valuation of $4 billion and total funding raised to more than $880 million! 

We are looking for a talented data engineer to join our team.
The mission of our group is to build a trusted, easy to use and agile Data Platform, that empowers data consumers to make good decisions and accomplish business goals

• Our stack lives on AWS and includes Redshift, Spark, Kinesis, Athena, Tableau, Apache Airflow, and Neo4J.
• We are always exploring new tools and technologies and we're looking for our NEXT team member!

What you’ll do:

• Design and develop scalable data processes, data models, and data pipelines using advanced technologies
• Ensure data accuracy, quality, and completeness through data quality tests
• Optimize data systems for performance, scalability, and cost-effectiveness
• Collaborate with peer engineering teams (backend & frontend developers and architects) as well as data scientists, product managers, and data analysts
• Be a Go to Person - a technological focal point that will guide, mentor and share knowledge with all the data engineers group.

What we need:

• At least 3-4 years of experience as a Data Engineer or equivalent experience in data processing and data modeling development
• Relevant academic degree - computer science/information systems or equivalent experience
• Excellent knowledge of SQL with a good technical understanding of how things work under the hood
• Programming skills: Preference for Python. Alternatively, java, C#, or other common OO languages
• Experience in Data Modeling
• Experience with technologies and tools including:
  • Columnar, distributed databases: Preference for Redshift. Alternatively, Bigquery, Vertica, Snowflake, etc.
  • Relational databases: Preference for MySQL. Alternatively, AWS-Aurora, SQL Server, PostgreSQL, Oracle, etc.
  • Streaming data technologies: Preference for Kinesis
  • Data processing and storage technologies: AWS Athena, Spark Presto, Hive, Hadoop -an advantage 
  • Orchestration tools (Airflow, Jenkins, etc.) -an advantage
  • Cloud data services: Preference for AWS-an advantage
• A proactive approach with a self-starter attitude - knows how to promote initiatives and check new tools and technologies
• Excellent problem-solving, analytical, and communication skills

Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.