At Lusha, we’re not just another startup. We’re changing the B2B sales experience. 

We believe salespeople should spend more time selling and less time prospecting.

That’s why we’ve built an AI-driven solution that eliminates the grunt work involved with pipeline gen and helps sales teams win.

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.

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. We are seeking a skilled Data Analytics 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) and build data models 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.

Here’s what we need from you:

• 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 such as dimensional models, 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? 

We’re shaping a new era of sales intelligence, and you’ll be a part of it. We recently launched Lusha Playlists, a personalized experience that gives sales reps the right leads, at the right time, every time they log in. And this role will help bring our vision for the future of sales to life.

Why Lusha? It’s simple: 

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. 

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.