Sr. Data Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Engineer in United States.

In this role, you will design, develop, and optimize large-scale data infrastructure and pipelines that support complex client integrations and high-volume analytics. You will have the opportunity to shape enterprise-level data architecture, lead high-impact initiatives, and mentor junior engineers, all while collaborating with cross-functional teams. This position offers a hands-on, fast-paced environment where your technical expertise and strategic thinking directly influence operational efficiency and business outcomes. You will work with cloud-based technologies, modern data frameworks, and a diverse range of data sources, ensuring scalable, reliable, and secure data solutions. The role emphasizes innovation, leadership, and data quality in a collaborative team culture.

• Design, build, and maintain scalable data architectures and ETL/ELT pipelines integrating data from APIs, cloud platforms, and databases
• Lead complex, high-impact data engineering projects from conception to delivery
• Mentor and provide technical guidance to junior and mid-level engineers
• Establish and enforce best practices, standards, and governance for data engineering
• Collaborate with internal teams and client engineering partners to define integration strategies and requirements
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability
• Drive improvements in data quality, observability, and operational efficiency
• Ensure compliance with data security, privacy, and governance policies

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Requirements:

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 6+ years of experience in cloud data architecture, design, and governance
• Strong experience with Azure services including Data Lake Storage, Data Factory, and Synapse
• Proficiency in SQL, Python, Scala, or Java for data engineering tasks
• Hands-on experience with big data frameworks such as Apache Spark, Hadoop, or Kafka on Azure
• Familiarity with relational databases and modern data storage solutions
• Strong analytical and problem-solving skills with ability to communicate technical concepts to non-technical stakeholders
• Proven ability to lead complex projects and mentor team members
• Willingness to work flexible hours when necessary

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Benefits:

• Competitive annual salary, approximately $140,000
• Premium medical, dental, life, and vision insurance
• Generous 401(k) match and retirement benefits
• Paid time off and flexible unlimited DTO policy
• Paid sick leave in accordance with applicable laws
• Virtual wellness programs including yoga, meditation, and fitness classes
• Company-sponsored events, team-building activities, and birthday recognition
• Opportunities for professional growth and mentorship