Data Engineer
Leadspace is the leading B2B Customer Data Platform (CDP) helping companies take back control of their marketing and sales data, and empowering go-to-market teams to accelerate growth through accurate, personalized engagement across all channels. With the most robust and open B2B data engine in the industry, sophisticated AI, a proprietary graph of B2B personas, and activations across the go-to-market tech stack, customers like Microsoft, Zoom, Salesforce, and many more use Leadspace to power more data-driven and effective inbound, outbound, and ABM efforts. Leadspace is based in San Francisco and Israel, with remote team members across the U.S., and is trusted by more than 200 B2B brands including 7 of the 10 largest enterprise software companies. Key Responsibilities Be part of the group that delivers Data and AI solutions cross organization, providing our customers with real time lead discovery and analytics. Own critical data flows, from the storage and database through ETLs and BI using the latest Cloud products and cutting-edge technologies. Solve challenges that involve Big Data. Bring ideas from vision to implementation by working with other R&D teams, QA & Product Management through all software lifecycle stages - exploration, design, development & delivery to production. Key Requirements A computer science or equivalent relevant degree ( B.Sc or M.Sc ) 3
years of experience working with databases:
RDBMS (MySQL, PostgreSQL) 3
years of experience coding in Python 1
years of experience in scripting A team player with strong interpersonal and communication skills Independent, highly motivated self-starter with a desire to constantly learn new technologies and practices Tenacious at solving problems and figuring out the best solutions with a good understanding of architectural & engineering principles Advantages 2
years of experience in Java or Scala Experience working with AirFlow Experience working with ElasticSearch Experience working with AWS, GCP or Azure Experience working with distributed computing (Spark) Proven track record developing data pipelines
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
years of experience working with databases:
RDBMS (MySQL, PostgreSQL) 3
years of experience coding in Python 1
years of experience in scripting A team player with strong interpersonal and communication skills Independent, highly motivated self-starter with a desire to constantly learn new technologies and practices Tenacious at solving problems and figuring out the best solutions with a good understanding of architectural & engineering principles Advantages 2
years of experience in Java or Scala Experience working with AirFlow Experience working with ElasticSearch Experience working with AWS, GCP or Azure Experience working with distributed computing (Spark) Proven track record developing data pipelines
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
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