What Does a Data Engineer Do?
Data Engineers typically work for corporations in various industries to help them manage and store important data regarding company operations. They work closely with other data professionals and members of the information technology department to design and implement these systems across departments. Their job is to use their knowledge of different programming languages to code and update data systems. They may also be responsible for implementing cybersecurity
Data Engineer Skills and Qualifications
A job description for a Data Engineer should contain the following skills and qualifications requirements:
- Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Excellent analytic skills associated with working on unstructured datasets
- Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
Data Engineer Salary Expectations
The average annual salary expectations for a Data Engineer is $127,339 per year. This information is based on 4,091 anonymously submitted salaries to Indeed from employees and users along with past and present Data Engineer job postings on Indeed within the last 36 months.
Data Engineer Salary Expectations
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Common salary:
131486.02 YEARLY -
Typical salaries range from
39000.00 -276000.00 YEARLY - Find more information on Indeed Salaries
*Indeed data –
Data Engineer Education and Training Requirements
A Data Engineer position usually requires a hybrid of educational requirements, starting with a degree or certification in information technology or computer science with additional vendor-specific certification.
Google’s Certified Professional-Data-Engineer certification establishes that an individual is familiar with the principles related to data engineering and can function as an associate or professional within the industry.
Considered a gold standard by many in the industry, the IBM Certified Data Engineer – Big Data certification focuses on applications specific to big data instead of general skills.
Specific to Cloudera’s solutions, the CCP Data Engineer for Cloudera certification shows the individual has proven experience in ETL analytics and tools.
Secondary certifications, including the Microsoft Certified Solutions Expert (MCSE), include a wide range of topics with specific sub-certifications including MCSE: Data Management and Analytics.
Data Engineer Experience Requirements
Many companies look for candidates with more than five years of industry experience who have a graduate degree in information systems, informatics, statistics, computer science or another quantitative field.
Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark and Hadoop; relational NoSQL and SQL databases including Cassndra and Pastgres; workflow management and pipeline tools such as Airflow, Luigi and Azkaban; AWS close services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, C++, Java and Python.
Data industry events are excellent sources of information and provide an excellent networking opportunities.
Job Description Samples for Similar Positions
If this job description isn’t exactly what you’re looking for, consider these samples for similar positions:
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