Data Management • Analytics • Business Intelligence • Advanced Analytics • Data Warehousing
11 - 50
November 5
Data Management • Analytics • Business Intelligence • Advanced Analytics • Data Warehousing
11 - 50
• Senior Data Engineer role involves developing production-ready data models • Design, develop, and implement robust data models for enterprise systems • Collaborate with data architects and stakeholders to ensure alignment • Partner with teams to create data management roadmap • Contribute to cloud cost optimization and sustainable data engineering practices
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent combination of education and experience • A minimum of seven (7+) years of relevant experience in data engineering or related fields • Solid understanding of data architecture concepts, data mining, and large-scale data modeling • Proficiency in cloud data technologies, with experience in platforms like Snowflake, Azure, or Google Cloud Platform (GCP) • Familiarity with data governance principles, data quality standards, and security protocols • Strong programming skills in languages commonly used for data engineering (e.g., SQL, Python, Spark) • Experience with DevOps practices, including source control, CI/CD pipelines, and deployment best practices
• Flexible Time Off Policy • Insurance (medical, dental, vision) for employees 100% company paid • short and long-term disability insurance for employees 100% company paid • life insurance and AD&D insurance for employees 100% company paid • employee assistance program • Retirement plans with company match • Training and Certification Reimbursement annually • Performance-based incentive program • Commission incentive program • Profit Sharing Plan • Referral Bonuses
Apply NowNovember 5
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