Senior Data Engineer - Data Infrastructure and Architecture

C-4 Analytics • Wakefield, MA

97d

About The Position

C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market and to providing the highest levels of accountability and customer service. We are currently hiring for a Senior Data Engineer as we look to expand our team and support our growing roster of local and national clients. C-4 Analytics is looking for an Experienced Senior Data Engineer with expertise in data infrastructure and architecture to help shape the future of our data-driven digital marketing platforms. As a part of our growing Product, Engineering, and AI team, you’ll play a critical role in identifying and bringing together our diverse data sources and orchestrating intelligent systems. We need you to lead with an AI-forward mindset—designing and managing pipelines, platforms, and orchestration technologies that transform information into actionable insights. We're not just processing data—we're transforming it into organizational intelligence. As our Data Engineering Virtuoso, you'll build enterprise-grade AI pipelines, turning unstructured data into decision-making gold by creating intelligent data platforms at scale.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering, with a focus on data infrastructure, architecture, and database management.
• Fluent in Python and SQL, expressing complex logic with elegant simplicity.
• Understanding when to deploy relational, vector, graph, or document data models.
• Strong understanding of database architecture principles, including sharding, replication, indexing, and optimization techniques.
• Proficiency in designing and developing ETL/ELT pipelines for data integration and transformation.
• Hands-on experience with Snowflake or similar cloud-based data warehouse platforms.
• Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, collaborative environment.

Nice To Haves

• Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch.
• Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn.
• Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi.
• Creating compelling visual narratives from complex data patterns.
• Grounding engineering decisions in mathematical rigor.
• Experience with web frameworks that extend data's utility.
• Navigating enterprise security with confidence and care.

Responsibilities

• Design, develop, and maintain proof-of-concepts using cutting-edge technologies, then refine them into production-ready solutions.
• Craft intuitive tools that elevate data scientists and analysts to their highest potential.
• Collaborate with cross-functional teams to ensure that data storage and organization align with business needs and objectives.
• Implement database architecture best practices, including database sharding, replication strategies, indexing, and optimization techniques to enhance data performance.
• Orchestrate enterprise-grade AI pipelines for complex data flows that bring harmony to disparate sources through batch and streaming pipelines.
• Evaluate and optimize data storage and retrieval systems based on relationships, data access patterns, cost-effectiveness, and performance requirements.
• Design elegant solutions and document your vision so others can follow your path.
• Provide leadership and guidance on information architecture decisions, ensuring that data is stored, organized, and accessed in the most efficient and effective manner.

Benefits

• Career development programs
• Unlimited paid time off

What This Job Offers

• Career Level: Senior
• Number of Employees: 101-250 employees