What does a Senior Data Engineer do?
Data engineers are mainly tasked with transforming data into a format that can be easily analyzed. They do this by developing, maintaining, and testing infrastructures for data generation. Data engineers work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs.
Data engineers generally have a bachelor's degree in computer science, information technology, or applied math, as well as a few data engineering certifications like IBM Certified Data Engineer or Google's Certified Professional. In addition, data engineers possess a plethora of technical skills and the ability to approach problems in a creative manner.
Senior Data Engineer Salaries
Average Base Pay
Senior Data Engineer Career Path
Learn how to become a Senior Data Engineer, what skills and education you need to succeed, and what level of pay to expect at each step on your career path.
Senior Data Engineer Insights
“This culture made Gensquared a place where I throughly enjoyed my work and looked forward to each day.”
“Good payment for your work and recognises you if you and your work is worth of.”
“Big challenging projects of diverse tech stacks to grow and get aware about your career path to follow.”
“Good payment for your work and recognises you if you and your work is worthy of.”
“You are not bound to just certain tasks in a project which is a great learning experience”
“Nothing much to say apart from a little miss of work life balance which is expected in any startup around”
“One of the reasons I chose Macaw was because they thought personal development was important.”
“Projects are not well aligned to career goals because leadership is taking on any project they can get signed.”
Senior Data Engineer Interviews
Senior Data Engineer jobs
Frequently asked questions about the role and responsibilities of a senior data engineer
When working as a senior data engineer, the most common skills you will need to perform your job and for career success are Hadoop SPARK, AWS S3, Big Data, Python and SQL Querying.
- SQL Developer
- Data Warehouse Architect
- Database Administrator
- Database Architect
The most common qualifications to become a senior data engineer is a minimum of a Bachelor's Degree and an average of 0 - 1 of experience not including years spent in education and/or training.