Senior Data Engineer, Later

• Years of Experience: Minimum of 5 years in data engineering or related fields, with a strong focus on building data infrastructure and pipelines
• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred
• You’re proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes
• Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results
• Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics
• Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support
• You share insights to help the team stay ahead and make informed decisions
• You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you
• You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration

• As a Senior Data Engineer at Later, you will play a crucial role in building and optimizing our data warehouse, providing a tremendous opportunity to shape our data infrastructure and support our rapid growth
• You will design, implement, and maintain robust data pipelines and architectures that facilitate efficient data processing and real-time analytics
• Collaborating with engineers, data partners, and stakeholders, you will leverage cloud technologies in developing impactful data solutions that transform raw data into actionable insights
• Data Warehouse Development: Design and build a robust data warehouse architecture
• Data Pipeline Development: Design, build, and maintain scalable data pipelines for both batch and real-time processing, ensuring high availability and reliability
• Transformation Layer: Develop reliable transformation layers and data pipelines from ambiguous business processes using tools like DBT
• Data Architecture & Streaming: Establish optimized data architectures using cloud technologies, and implement both batch and streaming data processing systems
• Data Quality & Governance: Enforce data quality checks and governance practices to maintain data integrity and compliance
• Cross-Functional Collaboration: Work with data scientists, product managers, and business stakeholders to understand data needs and deliver actionable insights
• Performance Optimization: Analyze and optimize data pipelines for performance and cost-effectiveness

• Flexible Paid Time Off
• Hybrid Work Environment
• Competitive Healthcare Benefits
• Stock Options
• Learning & Development Opportunities

Total funding: $3.8m

Platforms like Instagram, Pinterest, and TikTok have become indispensable for businesses of all sizes, shaping their marketing strategies and driving success. Later specializes in assisting customers in navigating these channels. Offering a visually oriented suite of tools, the marketing platform enables marketing managers to schedule, analyze, and track sales from their content effectively.