Synthetic Data Engineer Job Overview
Discover everything you need to know about becoming a Synthetic Data Engineer. Learn about responsibilities, requirements, salary expectations, and career growth opportunities.
Average Salary
$135k - $203k
Job Growth
28%
Education
Varies
Work Hours
Full-time
A Synthetic Data Engineer is a vital role in the technology industry. This position involves a combination of technical expertise, problem-solving skills, and effective communication.Synthetic Data Engineers play a crucial role in ensuring organizational success through their specialized knowledge and contributions.
The ideal candidate for this Synthetic Data Engineer position should be detail-oriented, adaptable, and committed to continuous learning. This role offers opportunities for career advancement and skill development in a dynamic professional environment.
As a Synthetic Data Engineer, your primary responsibilities include:
- Collaborate with team members to achieve Synthetic Data Engineer objectives
- Maintain accurate records and documentation related to Synthetic Data Engineer activities
- Stay current with industry trends and best practices in Synthetic Data Engineer
- Communicate effectively with stakeholders and team members
- Design, develop, and maintain software applications and systems
- Write clean, efficient, and well-documented code
- Troubleshoot and debug technical issues
- Participate in code reviews and architectural decisions
- Implement security best practices and data protection measures
Education:
Bachelor's degree in Computer Science or related field
Required Skills & Experience:
- Strong communication and interpersonal skills
- Excellent problem-solving and critical thinking abilities
- Proficiency with industry-standard software and tools
- Ability to work independently and as part of a team
- Strong organizational and time management skills
- Proficiency in programming languages (e.g., JavaScript, Python, Java)
- Experience with databases and SQL
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Understanding of software development methodologies
- Familiarity with version control systems (Git)
Preferred Qualifications:
- Advanced certifications or specialized training
- 5+ years of experience in similar roles
- Strong portfolio of relevant work (where applicable)
The average salary for a Synthetic Data Engineer ranges from $135k - $203k depending on experience, location, and employer. Factors such as specialized skills, certifications, and industry demand can significantly impact compensation.
Typical Benefits Include:
- Health, dental, and vision insurance
- Retirement savings plans (401k matching)
- Paid time off and holidays
- Professional development opportunities
- Flexible work arrangements (remote/hybrid options)
Synthetic Data Engineer professionals typically work in office environments, though remote work has become increasingly common. Work is often project-based with tight deadlines, requiring collaboration with cross-functional teams. Overtime may be required during product launches or critical system updates.
Entry-Level Positions:
Junior Synthetic Data Engineer • Synthetic Data Engineer Assistant • Associate Synthetic Data Engineer • Entry-level Synthetic Data Engineer
Mid-Level Positions:
Synthetic Data Engineer • Senior Synthetic Data Engineer • Lead Synthetic Data Engineer • Synthetic Data Engineer II
Senior-Level Positions:
Principal Synthetic Data Engineer • Synthetic Data Engineer Manager • Synthetic Data Engineer Director • VP of Synthetic • Chief Synthetic Officer
Job Outlook: The Synthetic Data Engineer field is projected to grow by 28% over the next decade, which is much faster the average for all occupations. This growth indicates strong demand and promising career opportunities for qualified professionals.
Synthetic Data Specialist, Data Generation Engineer
✓ This role may be ideal if you:
- Enjoy solving complex problems and challenges
- Thrive in collaborative team environments
- Are committed to continuous learning and skill development
- Have strong attention to detail and quality
✗ This role might not be ideal if you:
- Prefer working alone without collaboration
- Dislike adapting to new technologies and methods
- Are uncomfortable with deadlines and pressure
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