Senior Data Engineer

Adobe • Lehi, UT

88d • $128,600 - $234,200

About The Position

The Senior Data Engineer will have a significant impact on driving our organization's digital evolution by collaborating with various teams at Adobe. You will collaborate closely with product, analytics, and engineering teams to build, construct, and enhance scalable data pipelines and analytic solutions that generate insights into product usage. This position is highly data engineering oriented, focusing on the collection, integration, and transformation of large and varied data sets from multiple platforms to support business intelligence, product development, and strategic decision-making.

Requirements

• Bachelor's Degree required, master's Preferred in Computer Science or relevant experience.
• 8+ Years Experience with BS or 5+ Years Experience with MS.
• 5+ Years Experience with Python or equivalent.
• Experienced in developing data pipelines using Python, SQL, and Bash on Linux.
• Expertise working with Databricks, Spark SQL, Spark and DBFS systems.
• Proficient in orchestration tools like Airflow or Databricks Workflows.
• Experience deploying and managing services and applications on AWS and Azure Cloud platforms.
• Application design and architecture with a drive for delivering data with high throughput and low latency.
• Experience implementing and managing CI/CD pipelines using Jenkins or similar automation tools.
• Committed to finding solutions to challenges and enjoy creative problem solving.
• Ability to solve problems collaboratively and build strong relationships.
• Experience delivering quality process and outcomes.
• Process orientated with strong attention to detail.

Nice To Haves

• Experience with LLMs, vector databases, and embeddings.
• Exposure to graph databases, Elastic Stack, or real-time streaming (Kafka, Kinesis).
• Proficiency in managing and orchestrating containers using Kubernetes.

Responsibilities

• Develop and maintain analytics infrastructure, including ETL pipelines and automated data quality tools.
• Collaborate with multi-functional teams to develop and refine adaptable data pipelines and analytical solutions.
• Build connectors to a variety of API sources, enabling the integration of diverse data sources.
• Apply cloud-based platforms to perform advanced analytics while upholding rigorous standards for data quality and security.
• Contribute to planning, solution design, and deployment of analytic tools that drive and support business goals.

Benefits

• Exceptional work environment recognized on Best Companies lists.
• Ongoing feedback through unique Check-In approach.
• Diversity and inclusion in the workplace.
• Competitive salary range of $128,600 -- $234,200 annually based on location and experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree