Big Data Engineers transform data into formats that can be easily analyzed, making data easily usable and accessible in multiple forms and for numerous departments. Big Data Engineers should have a robust knowledge of statistics, extensive programming experience — ideally in Python or Java — and the ability to design and implement solutions for big data challenges. Employers look for applicants with knowledge and expertise in data mining, processing large amounts of raw data, and developing and maintaining relational databases for storage and data acquisition.
Typical Duties and Responsibilities
- Develop and improve software systems
- Design experiments to test system operations
- Analyze results
- Perform data mining to meet business objectives
- Research, develop, and implement innovative techniques for the organization’s data
- Work with large and complex sets of data
Education and Background
This position requires a bachelor’s degree in computer science, information technology, or applied math, preferably with certifications such as IBM Certified Data Engineer or Google’s Certified Professional. Many employers prefer candidates who have a master’s or doctorate.
Skills and Competencies
- Strong knowledge in SQL, AWS, and relational databases
- Experience with software engineering platforms
- Experience with object-oriented design, coding and testing patterns
- Robust project management and organizational skills
- Experience performing root cause analysis on internal and external data
- Strong analytical skills related to unstructured datasets
- Strong aptitude for business, technology, mathematics, and statistics
- Expertise in written and verbal communication
- Ability to work with a team to examine and solve complex issues
- Proficient in computer programming and language
According to Payscale the median annual salary of a Big Data Engineer with
1 Year of Experience:
- Orlando, Florida: $86,000
- Tampa, Florida: $93,000
- Jacksonville, Florida: $95,000
- Miami, Florida: $104,000
- Atlanta, Georgia: $110,000
- Chicago, Illinois: $101,000
- Houston, Texas: $100,000
- Los Angeles, California: $100,000
- New York City, New York: $110,000
- Seattle, Washington: $90,000
- Overall: $103,000
5 Years of Experience:
- Orlando, Florida: $100,000
- Tampa, Florida: $104,000
- Jacksonville, Florida: $105,000
- Miami, Florida: $110,000
- Atlanta, Georgia: $127,000
- Chicago, Illinois: $115,000
- Houston, Texas: $120,000
- Los Angeles, California: $130,000
- New York City, New York: $135,000
- Seattle, Washington: $130,000
- Overall: $120,000
Similar Job Titles
- Database Administrator
- Data Engineer
- Data Scientist
- Big Data Architect
- Big Data Developer
- Big Data Analyst
- Big Data Administrator
The path to becoming a Big Data Engineer begins with earning a bachelor’s degree in computer science, information technology, or applied math, preferably with certifications such as IBM Certified Data Engineer or Google’s Certified Professional. A candidate who goes on to receive a master’s degree may have expanded career opportunities. Most employers look for candidates who have relevant technical skills in high-tech tools and programming languages, including experience in Java, Spark, SQL, cloud programs like AWS, and UNIX.
According to industry website Computer Science Online, big data is now a significant component of the infrastructure, products, and services of organizations. Big data should be a $125 billion industry by the International Data Corporation, introducing a plethora of innovative processes, terms, and technology. This trend necessitates data management and interpretation skills, significantly increasing the demand for Big Data Engineers.
According to the U.S Bureau of Labor Statistics, the need for Big Data Engineers should grow by nine percent between 2018 and 2028. That growth rate is faster than average.
The typical work hours for a Big Data Engineer are from 9 a.m. to 5 p.m. Monday through Friday, in an office setting.
Where You Can Find Jobs
- 4 Corner Resources
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