Hadoop Engineer
Apex Systems
Apex Systems is seeking a Hadoop Engineer with 3-5 years of experience in Hadoop ecosystems, particularly HPE MapR, for a 12-month contract position in a hybrid work format.
Last checked on June 9, 2026. We may earn a commission when you click through.
If you have a solid background in Hadoop and enjoy collaborative work, this role offers a promising opportunity.
If you have a solid background in Hadoop and enjoy collaborative work, this role offers a promising opportunity.
About this role
Apex Systems is seeking a Hadoop Engineer with 3-5 years of experience in Hadoop ecosystems, particularly HPE MapR, for a 12-month contract position in a hybrid work format.
About the Company
Apex Systems is a staffing and workforce solutions firm specializing in technology and engineering roles.
Key Highlights
- ✓ Hybrid work model with 3 days onsite.
- ✓ Competitive pay rate of $53 - $57 per hour.
- ✓ Focus on high-availability enterprise-scale clusters.
💡 Honest Take: This position is ideal for experienced engineers who thrive in hybrid environments and want to work with technologies.
Pros
- ✓ Flexible hybrid work arrangement.
- ✓ Attractive pay rate.
- ✓ Opportunity to work with advanced technologies.
Cons
- ✗ 12-month contract may not appeal to those seeking permanent positions.
- ✗ Specific experience with HPE MapR is required.
- ✗ High competition for roles in financial services.
Best For: Ideal for professionals with a strong background in data engineering and distributed systems.
Watch Out: Candidates should be prepared for a competitive hiring process and ensure their skills align closely with the job requirements.
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What Customers Say
Feedback from employees highlights the supportive work environment and opportunities for professional growth.
Expert Review
This Hadoop Engineer role at Apex Systems offers a unique chance to work in the financial services sector, particularly focusing on HPE MapR. The 12-month contract requires candidates to have 3-5 years of experience in Hadoop ecosystems, making it suitable for those looking to deepen their expertise.
The hybrid work model allows for flexibility, appealing to candidates who prefer a mix of in-office and remote work. The pay rate ranges from $53 to $57 per hour, which is competitive for the industry, especially for contract positions.
Candidates should note that having a understanding of distributed systems and cluster computing is crucial. familiarity with monitoring tools like Grafana and Splunk can set applicants apart in this competitive field. Overall, this role represents a solid opportunity for seasoned engineers eager to apply their skills in a dynamic environment.
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