We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and maintain scalable data pipelines and analytics solutions. In this role, you'll partner with cross-functional teams to ensure data quality, availability, and performance — while leading and mentoring a team of data engineers to drive data-driven decision-making across the organization.

• Pay range :$80/hr on w2 to $90/hr on w2

Responsibilities:

• Design and implement large-scale data processing systems using Big Data technologies such as Hadoop, Spark, Kafka, and Flink

• Develop and optimize data pipelines, ensuring high performance, reliability, and scalability

• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights

• Implement best practices for data governance, security, and compliance

• Automate data workflows and ETL processes to improve efficiency and reduce manual effort

• Troubleshoot and resolve performance issues, ensuring smooth data operations

• Stay updated on emerging Big Data technologies and recommend innovative solutions to enhance data capabilities

• Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous learning

Qualifications

Required:

• 8+ years of experience in data engineering, with a focus on Big Data technologies

• Strong expertise in Hadoop, Spark, Kafka, Flink, and related frameworks

• Proficiency in SQL, NoSQL databases, and data warehousing solutions

• Experience with cloud-based data platforms such as AWS, GCP, or Azure

• Strong programming skills in Python, Scala, or Java

• Hands-on experience with data modeling, ETL processes, and real-time data processing

• Knowledge of data governance, security, and compliance best practices

• Proven ability to lead and manage data engineering teams in an Agile environment

• Excellent problem-solving, communication, and stakeholder management skills

Preferred (Set Yourself Apart With):

• Experience with machine learning pipelines and AI-driven data solutions

• Certifications in Big Data technologies (e.g., Cloudera, Databricks, AWS Big Data)

• Knowledge of DevOps practices for data engineering and CI/CD pipelines

• Strong understanding of data architecture and distributed computing

If you meet the required qualifications and are interested in this role, please apply today. 

The Solomon Page Distinction

Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.

About Solomon Page

Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.

Opportunity Awaits.
 

 

 

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