Manager Data Engineer

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 w2Responsibilities:Design and implement large-scale data processing systems using Big Data technologies such as Hadoop, Spark, Kafka, and FlinkDevelop and optimize data pipelines, ensuring high performance, reliability, and scalabilityCollaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insightsImplement best practices for data governance, security, and complianceAutomate data workflows and ETL processes to improve efficiency and reduce manual effortTroubleshoot and resolve performance issues, ensuring smooth data operationsStay updated on emerging Big Data technologies and recommend innovative solutions to enhance data capabilitiesLead and mentor a team of data engineers, fostering a culture of collaboration and continuous learningQualificationsRequired:8+ years of experience in data engineering, with a focus on Big Data technologiesStrong expertise in Hadoop, Spark, Kafka, Flink, and related frameworksProficiency in SQL, NoSQL databases, and data warehousing solutionsExperience with cloud-based data platforms such as AWS, GCP, or AzureStrong programming skills in Python, Scala, or JavaHands-on experience with data modeling, ETL processes, and real-time data processingKnowledge of data governance, security, and compliance best practicesProven ability to lead and manage data engineering teams in an Agile environmentExcellent problem-solving, communication, and stakeholder management skillsPreferred (Set Yourself Apart With):Experience with machine learning pipelines and AI-driven data solutionsCertifications in Big Data technologies (e.g., Cloudera, Databricks, AWS Big Data)Knowledge of DevOps practices for data engineering and CI/CD pipelinesStrong understanding of data architecture and distributed computingIf 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.
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