Senior Data Engineer

Alembic • San Francisco, CA

204d

About The Position

As a Senior Data Engineer at Alembic, you will be at the core of our data platform, building scalable and reliable data pipelines, optimizing storage solutions, and enabling real-time and batch analytics. You will work closely with data scientists, software engineers, and product leaders to design and implement robust data architectures.

Requirements

• 10+ years of experience in data engineering, software engineering, or a related field.
• Strong expertise in SQL and Python for data processing.
• Experience with modern data warehousing and lakehouse solutions (i.e. Iceberg or similar).
• Proficiency in working with distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.
• Deep understanding of data modeling, database design, and performance optimization.
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) for data pipelines.
• Strong problem-solving skills, with a passion for building reliable, scalable, and maintainable data systems.
• Excellent communication skills and the ability to collaborate in a cross-functional team.

Nice To Haves

• Experience with Graph Databases, NoSQL, or Time-Series Databases.
• Familiarity with data privacy, governance, and compliance (GDPR, HIPAA, SOC 2).
• Experience with machine learning pipelines and MLOps.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines that ingest, process, and transform large volumes of structured and unstructured data.
• Optimize data storage solutions using modern data lakehouse architectures and best practices for cost, performance, and reliability.
• Collaborate with data scientists and engineers to integrate machine learning models and analytical workloads into production environments.
• Ensure data integrity, quality, and security by implementing monitoring, alerting, and governance best practices.
• Work with cloud-based data warehouses and distributed data processing frameworks.
• Continuously evaluate and implement new technologies to improve data infrastructure and operational efficiency.

Benefits

• Competitive compensation: Including salary, equity, and benefits.
• High-impact role: Shape the future of our data platform at an early-stage startup.
• Growth opportunities: Work in a fast-paced environment with opportunities to take on new challenges.
• Collaborative culture: Join a team of passionate, skilled engineers and technologists.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed