Data Engineer

About Alembic:
Alembic is solving marketing’s hardest problem: proving what actually works. If you’re looking for frontier technical challenges at an applied science company, this is the place. We’re building trusted systems that Fortune 100 companies use to make multimillion dollar decisions. We work together 5 days onsite in SoMa.

We’re rapidly scaling our full engineering and GTM teams. We’re especially motivated to hire for these roles right now:

1. Enterprise Sales Engineers
2. Senior Full Stack Engineers (Typescript/Node.js)
3. Data Engineers
4. Python Developers for AI/ML

Role Overview: As a Data Engineer at Alembic, you’ll play a crucial role in building and maintaining the data infrastructure that powers our marketing analytics platform. You’ll be responsible for designing, implementing, and managing data pipelines, warehouses, and processing systems that handle massive volumes of marketing data. This role requires a blend of technical expertise in data engineering and a deep understanding of how data flows through complex systems to provide actionable insights for enterprise clients.

Key Responsibilities:

• Design and implement scalable data pipelines for ingestion, transformation, and loading of marketing data
• Build and maintain data warehouses and data lakes using modern big data technologies
• Collaborate with data scientists and analysts to understand data requirements and build appropriate data structures
• Develop ETL/ELT processes to move data between different systems and platforms
• Ensure data quality, consistency, and integrity across all data sources and destinations
• Optimize data processing workflows for performance and cost efficiency
• Monitor and maintain data infrastructure for availability, reliability, and performance
• Work with cloud platforms (AWS, GCP, or Azure) to deploy and manage data services
• Implement data governance policies and ensure compliance with data standards
• Participate in system design reviews and contribute to technical architecture decisions
• Document data processes, schemas, and system configurations
• Troubleshoot and resolve data-related issues in production environments
• Collaborate with engineering teams to integrate data systems with application platforms
• Stay current with emerging data engineering technologies and best practices

Requirements & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field
• 4+ years of professional experience in data engineering or related role
• Strong proficiency in Python, SQL, and data processing frameworks
• Experience with big data technologies such as Spark, Kafka, or Flink
• Knowledge of data warehousing concepts and tools (Snowflake, Redshift, BigQuery)
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies
• Understanding of data modeling, ETL/ELT processes, and data pipeline architectures
• Experience with database systems including PostgreSQL, MySQL, MongoDB, or similar
• Knowledge of data quality tools and data validation techniques
• Familiarity with CI/CD practices for data engineering workflows
• Strong problem-solving skills and ability to analyze complex data systems
• Excellent communication skills and ability to work in cross-functional teams
• Experience with monitoring and alerting systems for data infrastructure
• Understanding of data security, privacy, and compliance requirements
• Ability to work independently and manage multiple tasks simultaneously
• Experience with modern data architecture patterns and best practices

What You’ll Bring:

• Deep expertise in data engineering principles and practices
• Strong analytical and problem-solving abilities
• Experience with modern data processing and storage technologies
• Knowledge of data architecture and system design patterns
• Understanding of data governance and quality assurance practices
• Experience with cloud-native data services and infrastructure
• Ability to translate business requirements into technical data solutions
• Passion for building robust, scalable, and maintainable data systems
• Experience with data visualization and reporting tools
• Commitment to continuous learning and staying current with data technologies
• Excellent written and verbal communication skills
• Ability to mentor junior data engineers and share knowledge
• Experience with large-scale data processing and analytics platforms
• Strong attention to detail and quality assurance mindset

Why Join Alembic: Alembic offers an exceptional opportunity to work on data infrastructure that drives marketing analytics for Fortune 100 companies. You’ll be part of a team that’s building the technological foundation for understanding marketing effectiveness at scale. Our data systems handle massive datasets while maintaining high performance and reliability standards. You’ll work with cutting-edge technologies and methodologies to solve complex business problems. The company culture values innovation, collaboration, and delivering exceptional results for enterprise clients.

Compensation & Benefits: Competitive salary based on experience and market rates. Comprehensive benefits package including health insurance, dental, vision coverage, 401(k) matching, and generous PTO. 5 days onsite in SoMa with flexible work arrangements. Opportunities for professional development and advancement within a rapidly growing company.