Senior Data Engineer - Data Infrastructure and Architecture

Overview

Senior Data Engineer - Data Infrastructure and Architecture: C-4 Analytics

The ideal candidate understands the benefits of in-person teamwork and is available to work from our office a minimum of three days per week. C-4 Analytics is a fast-growing, private, full-service digital marketing company that helps automotive dealerships increase sales, market share, and lower cost per acquisition. We are hiring for a Senior Data Engineer to expand our team and support a growing roster of local and national clients.

If you require accessibility accommodations during the application process, please contact the employer for accommodation or an alternative process.

Data Alchemy:
Forging Insights from Information

We are seeking an Experienced Senior Data Engineer with expertise in data infrastructure and architecture to shape the future of our data-driven digital marketing platforms. You’ll join a growing Product, Engineering, and AI team and lead with an AI-forward mindset—designing and managing pipelines, platforms, and orchestration technologies that transform information into actionable insights. You’ll build enterprise-grade AI pipelines and orchestrate data flows at scale.

• Prototype the Impossible — design, develop, and maintain proof-of-concepts using cutting-edge technologies, then refine them into production-ready solutions.
• Empower Through Innovation — craft intuitive tools that elevate data scientists and analysts; collaborate with cross-functional teams to align data storage and organization with business needs.
• Seamless Scaling & Performance — implement database architecture best practices, including sharding, replication, indexing, and optimization to enhance data performance.
• Compose Data Symphonies — orchestrate enterprise-grade AI pipelines for complex data flows, including batch and streaming; optimize storage and retrieval based on access patterns and cost/performance.
• Blueprint Before Building — design elegant solutions, document your vision, and provide leadership on information architecture decisions to ensure efficient data storage and access.

• The Languages You Speak:
  Python, SQL, and related data dialects.
• Libraries/Tools:
  Terraform, Flask, Pandas, FastAPI, Dagster, Graph
  
  QL, SQL Alchemy, Git Lab, Athena.
• Your Trusted Companions:
  Docker, Snowflake, Mongo
  
  DB, Relational Databases (e.g., MySQL, Postgre
  
  SQL), Dagster, Airflow/Luigi, Spark, Kubernetes.
• Your AWS Kingdom:
  Lambda, Redshift, EC2, ELB, IAM, RDS, Route
  53, S3.
• Your Philosophy: CI/CD automation, code reviews, and clear documentation as communication.

• Familiar with data manipulation and Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, etc.
• Proficiency in statistics and/or ML libraries like Num Py, matplotlib, seaborn, scikit-learn, etc.
• Experience building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi.

We offer a competitive compensation commensurate with experience. Salary range: $ - $. Final salary determined based on skills, knowledge, and demonstrated expertise. The stated salary range is flexible and negotiable based on qualifications.

Preference for Wakefield, MA office with flexible work options:

• Office-Based:
  Collaborative space for in-person work.
• Hybrid:
  Mix of in-office and remote work.

• Academically Grounded:
  Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• Seasoned Practitioner: 5+ years in data engineering focusing on data infrastructure, architecture, and database management.
• Code Craftsperson:
  Fluent in Python and SQL; elegant handling of complex logic.
• Database Strategist:
  Knowledge of relational, vector, graph, or document models; sharding, replication, indexing, and optimization.
• Data Driven:
  Designing and developing ETL/ELT pipelines for data integration and transformation.
• Cloud Navigator:
  Hands-on experience with AWS and Snowflake or similar warehouses.
• Dynamic Collaborator:
  Strong problem-solving, detail orientation, and ability to work in a fast-paced, collaborative environment.
• Infrastructure Poet:
  Infrastructure…