Data Engineer

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions that support business analytics and operational reporting. The ideal candidate will have strong expertise in SQL, data modeling, and cloud-based data platforms, with the ability to build efficient data pipelines and optimize database performance. The schedule is 4 days in the office in Montvale, NJ and 1 day remote. Required Qualifications Education Bachelor’s degree in Computer Science, Information Systems, or a related field. Technical Skills Advanced SQL expertise with 5+ years of experience, including window functions, common table expressions (CTEs), and query optimization. Strong knowledge of relational database management systems (RDBMS) and data modeling principles. Experience working with cloud-based data platforms, particularly Azure Data Services and modern data warehouse technologies. Proficiency in Python for scripting, automation, and data manipulation. Experience developing and maintaining ETL processes using tools such as SSIS or Azure Data Factory. Professional Skills Strong analytical and problem-solving abilities. Excellent communication skills with the ability to collaborate across technical and non-technical teams. Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications Experience working with NoSQL databases such as Cosmos DB or MongoDB. Familiarity with big data frameworks including Apache Spark or Kafka. Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate or Google Professional Data Engineer. Tools & Technologies SQL development environments such as DBeaver and SSMS Cloud management consoles Git for version control Jira for project and workflow management #J-18808-Ljbffr HumanEdge