Senior Data Engineer
SalesLoft
Salesloft, Inc. has a job opening for the position of Senior Data Engineer based out of its location in Atlanta, GA.
Job Duties: Liaise between the Data Science and Product Delivery teams to architect and deliver end-to-end data
pipelines. Develop data flows, services, and applications in various system areas including machine learning, natural
language processing, data analytics and third party data integrations. Participate in design sessions for data services
and applications. Collaborate with data scientists and machine learning engineers to train and deploy models in a
production environment. Performs heads down development, test code, review peer code, and ship it to production.
Maintain and debug services and applications in a production environment. Work closely with our Product
Management and our Customer Success teams. May work remotely from any location within the United States.
Requirements: Master’s degree in data analytics, computer science, or related technical field; plus 2 years of
experience in the job offered, as a Data Engineer, or in a related position involving hands-on software experience in
a high volume distributed systems environment. Requires demonstrated experience in: Working with teams of 4+
data engineers; 2 years’ experience developing applications with Python; 2 years developing data pipelines
leveraging Apache Spark; 2 years developing ETL pipelines in a large data environment; Coding and design with
exposure to micro-service-architecture (MSA); Object-oriented methodologies, UML design techniques, event
driven architectures, and other design patterns; Agile methodologies such as Scrum and Kanban, or comparable;
Ability to troubleshoot, performance tune, solve problems and write unit tests; Ability to communicate effectively
(both oral and written) with experience producing technical and design documentation; SQL and experience
working with relational databases; Analysis and working with unstructured datasets; and Machine learning or
artificial intelligence or data sciences frameworks.