Who we are
Founded in 2016, Lusha grew from a bootstrapped startup to a $1.5B unicorn, backed by $245M in investments and trusted by sales teams at Google, Zendesk, and Yotpo.
Lusha is an AI-powered sales intelligence platform, changing the B2B sales experience with a new approach called Sales Streaming. Allowing salespeople to spend most of their time selling instead of wasting time and effort on manual prospecting.
With 1.5M+ users, 200M+ contacts, and 40K new signups every month, we’re the engine behind modern GTM teams. And we’re just getting started.
We’re looking for a Data Engineer for the Insight Team to join Lusha’s Data Group and a new team responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more. This role involves close collaboration with the core teams within the Data Group, working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization, all aimed at enhancing the data experience for Lusha’s customers.
Where does this role fit in our vision?
Every role at our company is designed with a clear purpose—to integrate collective efforts into our shared success, functioning as pieces of a collective brain. At Lusha, data is everything, it’s at the heart of everything we do. The Data Group is responsible for shaping the experience of hundreds of thousands of users who rely on our data daily.
The Insight Team monitors user behavior across Lusha’s products, leveraging millions of signals and time-series entities to power a personalized recommendation and ranking system. This enables users to access more unique and tailored data, optimizing their experience while maintaining a strong focus on the key KPIs that drive the success of our Data Group.
What will you be responsible for?
- Develop and implement robust, scalable data pipelines and integration solutions within Lusha’s Databricks-based environment.
- Develop models and implement algorithms, with a strong emphasis on delivering high-quality results.
- Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
- Design innovative data solutions that support millions of data points, ensuring high performance and reliability.
Requirements
- 3+ years of experience in data engineering, building and optimizing scalable data pipelines.
- 5+ years of experience as a software developer, preferably in Python.
- Algorithmic experience, including developing and optimizing machine learning models and implementing advanced data algorithms.
- Experience working with cloud ecosystems, preferably AWS (S3, Glue, EMR, Redshift, Athena) or comparable cloud environments (Azure/GCP).
- Expertise in extracting, ingesting, and transforming large datasets efficiently.
- Deep knowledge of big data platforms, such as Spark, Databricks, Elasticsearch, and Kafka for real-time data streaming.
- (Nice-to-have) Hands-on experience working with Vector Databases and embedding techniques, with a focus on search, recommendations, and personalization.
- AI-savvy: comfortable working with AI tools and staying ahead of emerging trends.
We’re dreamers, innovators, and learners, driven by simplicity, collaboration, and trust.
At Lusha, your work matters. Your voice is heard. And your growth is part of our growth.
Ready to join us? Let’s build the future of sales, together.
