Senior Data Engineer (Analytics)
Tel-Aviv, IL
Flare
We’re Flare. Designed to support clients during life’s big moments—and the lawyers that care for them. We’re reimagining how attorneys and clients work together.Description
About Us
Hello, we’re Flare! We are reimagining how attorneys and clients work together and are obsessed with building solutions that empower attorneys and consumers through the legal journey.
Funded by leading VC firms, we are an industry leader in legal technology. Our platform simplifies the delivery of complex legal services while providing ease and clarity to clients and attorneys throughout the process. With a global team that brings a fresh perspective, Flare is revolutionizing the way legal services are delivered. We’re a team of creative problem-solvers who want to make the world a better place. Join us.
Check out helloflare.com for more!
Overview
We are looking for an experienced Data Engineer who thrives on taking initiative and delivering results. The ideal candidate will possess a “can-do” attitude, demonstrating exceptional proficiency in data modeling and data pipeline development. We seek someone who can lead efforts end-to-end, work directly with interfaces, and consistently deliver high-quality outputs.
As a senior Data Engineer, you will shape and build our data platform from the ground up, develop and maintain our data warehouse and reports, while working closely with our analysts, data scientists, and business units.
Join us to build a cutting-edge data platform and make a tangible impact on our business with your expertise and drive for excellence!
What You'll Do:
- Model data entities that stakeholders need: Design and model data entities with a deep understanding of business/product needs
- Design, implement, and maintain data pipelines: Use Snowflake with dbt for transformation, and orchestrate pipelines with Astronomer to build end-to-end pipelines from source data to BI tools/Reverse ETL
- Collaborate with cross-functional teams: Partner with analysts, data scientists, R&D developers, product managers, and other stakeholders to understand product goals and data requirements.
- Develop and integrate new data sources: Use Python and SQL to integrate and manipulate new data sources, ensuring seamless incorporation into existing infrastructure which already includes marketing spend, MongoDB, CRM (Salesforce), BI events (Segment), and various APIs.
- Own data quality: Track daily data quality alerts to ensure we know about any data issues early. Furthermore, you will create new data quality tests on top of our data observability platform (Metaplane).
Who You Are:
- Experienced Data Engineer 5+ years in data engineering roles, with a proven track record of handling responsibilities as a senior team member.
- BA/B.Sc. in industrial/information systems engineering, computer science, statistics, or equivalent.
- Highly skilled in SQL and dbt, with experience working on columnar databases such as Snowflake, Redshift, or BigQuery.
- Deep understanding of ELT principles and the ability to lead the design and develop complex data models
- Experienced in designing and executing the entire data pipeline process, from gathering requirements to delivering outputs.
- Detail-Oriented Problem Solver - able to discern critical information from noise and deliver clear, actionable results.
- Continuously curious and motivated to learn new technologies and methodologies to stay ahead in the field.
Flare provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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.
Requirements
None* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs BigQuery Computer Science Data pipelines Data quality Data warehouse dbt ELT Engineering ETL Industrial MongoDB Pipelines Python R R&D Redshift Salesforce Snowflake SQL Statistics
Perks/benefits: Team events
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