Big Data Engineer

Syntricate Technologies

Join Syntricate Technologies as a Big Data Engineer to develop engineering pipelines, troubleshoot data issues, and ensure data quality.

Last checked on September 4, 2026. We may earn a commission when you click through.

✓ Opportunity to work with analytics teams ✓ Focus on quality data management ✓ Engaging problem-solving tasks

Big Data Engineer

Syntricate Technologies

Updated 22 hours ago

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Malvern

This position could be a good fit for data professionals seeking hands-on experience in data engineering. However, the absence of salary details and the potential for high workload may deter some candidates.

About this role

Join Syntricate Technologies as a Big Data Engineer to develop engineering pipelines, troubleshoot data issues, and ensure data quality.

About the Company

Syntricate Technologies specializes in innovative data solutions and analytics.

Key Highlights

✓ Collaborate with analytics and business teams
✓ Build and maintain engineering pipelines
✓ Troubleshoot data discrepancies
✓ Ensure high-quality data standards

💡 Honest Take: While the role promises collaboration with analytics teams, the actual workload could be heavier than expected, with potential tight deadlines. The lack of salary transparency is also a concern for candidates weighing their options.

Pros

✓ Opportunity to work with analytics teams
✓ Focus on quality data management
✓ Engaging problem-solving tasks

Cons

✗ No salary information provided
✗ Potential for heavy workloads
✗ Limited remote work options

Best For: Tech-savvy individuals in the Philadelphia area seeking to enhance their data engineering skills in a corporate setting.

Watch Out: The role requires on-site presence in Malvern, which might not suit those seeking remote flexibility.

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Expert Review

In our evaluation, the Big Data Engineer position at Syntricate Technologies offers work directly with analytics and business teams. The focus on building engineering pipelines aligns with current industry standards, yet the role may involve more troubleshooting than anticipated. Candidates should be prepared for a potentially demanding work environment, as data quality assurance is a critical priority.

This expectation might lead to tight deadlines and a heavier workload than some might expect. the lack of disclosed salary information raises questions for applicants considering compensation. Transparency in this area could significantly influence applicant interest.

Those interested in applying should visit the official listing on talent.com for more details about the job requirements and responsibilities. Overall, the position is individuals comfortable with direct collaboration and eager to tackle complex data challenges.