Lead Data Engineer
Job Description
About this kind of role
What a Lead Data Engineer usually does. The employer's own details are in the listing.
Typically does: A Lead Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data warehousing and analytics. They oversee the development and implementation of data models, ensuring data quality and accessibility for data scientists and business analysts. This role often involves mentoring junior engineers and collaborating with stakeholders to understand data needs and translate them into technical solutions. Lead Data Engineers are responsible for the performance, scalability, and reliability of data systems.
Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), ETL tools, data warehousing technologies, and experience with big data frameworks like Spark or Hadoop are typically required.
Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and experience leading technical teams thrive in this role.
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A full-time year is 2,080 hours: $22 an hour is $45,760 a year before taxes, and $44,000 a year is $21.15 an hour. Pay calculator →
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