Data Engineer: Build Scalable Pipelines & ML Readiness
Apple Inc.
Austin (TX)
On-site
USD 90,000 - 130,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
A leading tech company located in Austin, Texas, is looking for a Software Engineer in Data Systems to develop and maintain software that supports data operations. The role involves designing scalable data architectures, crafting data pipelines, and collaborating closely with data scientists and analysts. Ideal candidates hold a Bachelor's degree in Computer Science and possess 3+ years of relevant experience, particularly in data engineering and Python development. This position promises a dynamic work environment with opportunities in a cutting-edge field.
Qualifications
Bachelor's Degree plus at least 3 years of experience in software development.
Experience with data engineering or data-focused software development.
Proficiency in Python and Oracle SQL.
Responsibilities
Design and implement scalable data pipelines and processing systems.
Develop and optimize database performance and query efficiency.
Collaborate with data scientists to productize machine learning models.
Skills
Python programming
Oracle SQL
Data processing workflows
Linux operating systems
Data quality monitoring
Version control (Git)
Analytical abilities
Collaboration skills
Education
Bachelor's Degree in Computer Science or related field
Master’s degree in computer science or related field
Tools
Cassandra NoSQL database
Data visualization tools
Business intelligence platforms
Job description
A leading tech company located in Austin, Texas, is looking for a Software Engineer in Data Systems to develop and maintain software that supports data operations. The role involves designing scalable data architectures, crafting data pipelines, and collaborating closely with data scientists and analysts. Ideal candidates hold a Bachelor's degree in Computer Science and possess 3+ years of relevant experience, particularly in data engineering and Python development. This position promises a dynamic work environment with opportunities in a cutting-edge field.