Big Data Engineer

This position is posted by Jobgether on behalf of SynergisticIT. We are currently looking for a Big Data Engineer in South Carolina.

This role is ideal for technically skilled professionals eager to work with large-scale data solutions and drive meaningful insights across diverse industries. You will design, implement, and optimize data pipelines, manage data storage solutions, and collaborate with cross-functional teams to deliver high-quality, scalable solutions. The position emphasizes hands-on experience with modern big data tools, cloud platforms, and data analytics frameworks, providing exposure to cutting-edge technologies. You will also contribute to the development of best practices for data processing, ETL, and analytics, while enhancing the overall data strategy. This environment encourages continuous learning, problem-solving, and practical application of technical skills to real-world projects. Strong communication, adaptability, and initiative are key to thriving in this role.

Accountabilities

·         Design, build, and maintain scalable data pipelines and ETL processes.

·         Integrate and optimize data storage solutions using relational and non-relational databases.

·         Collaborate with data scientists, analysts, and engineers to ensure data availability and quality.

·         Monitor, troubleshoot, and improve data processing performance and reliability.

·         Implement data governance, security, and best practices for data management.

·         Develop dashboards, reports, and visualizations to support decision-making processes.

·         Stay current with emerging big data technologies and recommend improvements to existing systems.

·         Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience.

·         Strong programming skills in Java, Python, or Scala.

·         Experience with big data technologies such as Hadoop, Spark, Kafka, or Flink.

·         Knowledge of cloud platforms (AWS, Azure, GCP) and data storage solutions.

·         Proficiency in SQL and data modeling.

·         Analytical thinking, problem-solving, and attention to detail.

·         Strong communication skills for collaboration across teams.

·         Bonus: Experience with machine learning pipelines, NoSQL databases, or containerization (Docker/Kubernetes).

·         Competitive salary and performance-based incentives.

·         Flexible remote or hybrid work options.

·         Paid time off, holidays, and sick leave.

·         Health, dental, and vision insurance options.

·         Mentorship programs and professional development opportunities.

·         Exposure to real-world big data projects and skill-building experience.

·         Support for visa sponsorship, STEM OPT, and H-1B candidates as applicable.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, such as interviews or additional assessments, are then made by their internal hiring team.

Thank you for your interest!

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