Data Engineer Analytics
Tel Aviv-Yafo, Tel Aviv District, IL
Lusha
Lusha provides high quality, unique premium data where you need it most: On social networks, the web, Salesforce or directly on your product.Description
Join Lusha, where culture isn't just a label—it's our DNA. We're dreamers, innovators, and learners, driven by simplicity, collaboration, and trust. At Lusha, every voice matters, and together, we shape a company we're proud of. Ready to be part of something truly unique? Join us and let's grow better together.
As a Lusha employee, you’ll empower B2B sales professionals globally to unlock lucrative revenue opportunities and drive sustainable growth. With over 1 million users and a database of 200+ million entries, your contributions will directly impact our customers, revolutionizing the way they approach sales and positioning them for long-term success in a competitive marketplace. With 40,000 new signups benefiting from our dynamic platform each month, your role is crucial in continuing to enhance and expand our offerings. You’ll help deliver exceptional value to our growing user community, ensuring they have the best tools at their disposal to succeed in a competitive marketplace.
We are seeking a skilled Data Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company.
How you’ll shape the future of B2B sales
- Design, build, and optimize robust data pipelines to ingest, process, and store data from various sources.
- Maintain and optimize our data warehouse (e.g., Snowflake, BigQuery, Redshift) to ensure scalability, reliability, and performance.
- Develop and maintain ETL/ELT workflows to enable data accessibility for reporting and analysis.
- Collaborate with the analytics teams (BI, product, and business) to understand data requirements and cross teams (GTM, product) and provide the necessary infrastructure & data models to support their objectives.
- Monitor and troubleshoot data quality, pipeline failures, and performance issues, implementing fixes and improvements as needed.
- Contribute to automating manual processes and improving data reliability and efficiency.
- Stay up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement.
Requirements
Here’s what we need from you
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (Master’s degree preferred).
- 3+ years of experience in a data engineering role, with a proven track record of building and managing data pipelines and infrastructure.
- Good understanding of data warehousing concepts, database design, and data modeling
- Strong business understanding and ability to analyze data
- Strong proficiency with SQL for data manipulation and querying.
- Hands-on experience with ETL/ELT tools (e.g., dbt, Apache Airflow)
- Experience with cloud platforms such as AWS, GCP, or Azure, including data-related services (e.g., S3, Redshift, BigQuery, Data Lake, Snowflake).
- Familiarity with programming languages such as Python
- Knowledge of tools and frameworks for big data processing (e.g., Apache Spark, Kafka, Databricks) is a plus.
- Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and interpersonal skills.
How will you innovate? How will you learn?
As a growth-stage company constantly evolving, you'll find opportunities to tackle unique projects and initiatives, all while being part of a thriving company that has evolved from its startup roots. You'll play a crucial role in our journey, with plenty of room to grow professionally. And as we move forward, you'll have a stake in our success, sharing in the rewards as we expand and innovate together, continuously learning along the way.
Why Lusha? It’s simple
Established in 2016 by Assaf Eisenstein and Yoni Tserruya, Lusha's dream is to revolutionize the B2B sales landscape. With significant investments totaling $240 million, we've transitioned from our bootstrap origins to unicorn status with a value estimation of $1.5 billion. This journey reflects our unwavering commitment to innovation and excellence as we continuously set new standards in the industry. Trusted by industry giants like Zendesk, Google, and Yotpo, Lusha is the go-to resource for sales intelligence, having started as a profitable bootstrap company and survived solely on profits for 4.5 years. Join us and experience a career journey as distinct and dynamic as you are.
Join Lusha, where culture isn't just a label—it's our DNA. We're dreamers, innovators, and learners, driven by simplicity, collaboration, and trust. At Lusha, every voice matters, and together, we shape a company we're proud of. Ready to be part of something truly unique? Join us and let's grow better together.
As a Lusha employee, you’ll empower B2B sales professionals globally to unlock lucrative revenue opportunities and drive sustainable growth. With over 1 million users and a database of 200+ million entries, your contributions will directly impact our customers, revolutionizing the way they approach sales and positioning them for long-term success in a competitive marketplace. With 40,000 new signups benefiting from our dynamic platform each month, your role is crucial in continuing to enhance and expand our offerings. You’ll help deliver exceptional value to our growing user community, ensuring they have the best tools at their disposal to succeed in a competitive marketplace.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Big Data BigQuery Business Intelligence Computer Science Databricks Data pipelines Data quality Data warehouse Data Warehousing dbt ELT Engineering ETL GCP Kafka Pipelines Python Redshift Snowflake Spark SQL
Perks/benefits: Career development Startup environment
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