Senior Data Engineer (HYBRID)

c4analytics; Wakefield (MA); Hybrid; USD 130,000 - 160,000; Full time

Job summary

c4analytics is seeking a Senior Data Engineer in Wakefield, Massachusetts, to design the foundational architecture for their AI infrastructure. The ideal candidate will have strong expertise in Python, SQL, and AWS, and will be responsible for transforming raw data into scalable intelligence.

The role includes leading high-performance data systems and collaborating across teams. The position offers a salary range of $130,000 - $160,000, with flexible hybrid or office-based work options available.

Qualifications

• Over 5 years of professional experience in AI and machine learning.
• Proven track record of integrating LLMs and NLP tasks with enterprise data platforms.
• Master of data orchestration and AI-driven innovation.

Responsibilities

• Lead by example in designing and maintaining high-performance data systems.
• Build and manage production-ready AI pipelines from disparate data sources.
• Craft intuitive tools and frameworks for data scientists and analysts.

Skills

Python

SQL

AWS

Snowflake

Node.js

Tools

Cursor

MongoDB

Angular

TypeScript

Job description

Senior Data Engineer

Stack: JavaScript (Node/Lambdas), Python, SQL, Snowflake, Cursor

If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process.

The Mission

We’re looking for a Senior Data Engineer to serve as the foundational architect of our AI infrastructure. In this role, you will be a key pillar of the AI team, responsible for transforming raw, disparate data into scalable organizational intelligence. You aren’t just building pipelines; you are designing the enterprise‑grade framework that powers C-4 Analytics' digital marketing platforms, ensuring our data architecture is as innovative as the solutions it supports.

The Role

As a Senior Data Engineer, you are expected to be a master of data orchestration. You are a self‑starter who navigates the complexities of Snowflake, AI pipelines, and unstructured data environments with precision. You understand that your job is to connect the dots between raw sources and production‑ready solutions, implementing best practices in sharding, indexing, and normalization to optimize retrieval at scale. You’ll work across cross‑functional teams to align data architecture with business objectives, ensuring every system you design is elegant, documented, and mission‑critical.

Key Responsibilities

• Data Architecture & Strategy: Lead by example in designing and maintaining high‑performance data systems. Implement best practices in sharding, replication, and indexing to ensure our database architecture is scalable, cost‑effective, and optimized for complex access patterns.
• Enterprise Orchestration: Build and manage production‑ready AI pipelines that turn disparate, unstructured data into clean, normalized organizational intelligence. Bridge the gap between batch and streaming processes, connecting various sources to Snowflake with precision and reliability.
• AI‑Driven Innovation: Pioneer in the AI space, fully proficient in using AI development assistants to accelerate the transition from cutting‑edge proof‑of‑concepts to robust, production‑ready solutions. Refactor data flows and maintain an elite standard of quality.
• Enablement & Collaboration: Craft intuitive tools and frameworks that empower our data scientists and analysts. Act as a strategic partner to cross‑functional teams, ensuring our data storage and retrieval systems are perfectly aligned with broader business objectives.
• Documentation & Leadership: Act as the visionary for our information architecture. Design elegant, scalable solutions and document them with clarity so others can easily follow your lead. Provide technical guidance and architectural blueprints necessary for the team to grow and succeed.

Who You Are

• The Strategic Architect: Fluent in Python and SQL, expressing complex logic with elegant simplicity. A Database Strategist who knows when to deploy relational, vector, graph, or document data models, backed by deep understanding of sharding, replication, and indexing.
• Cloud & Data Expert: Confident cloud navigator within the AWS ecosystem and a master of Snowflake. Over 5 years of professional experience in AI and machine learning, proven track record of integrating LLMs and NLP tasks with enterprise data platforms. Builds for scale and prioritizes high‑fidelity data wrangling.
• Infrastructure Poet: Treats infrastructure as clear, reproducible code. Advocates for information architecture best practices, data modeling, and rigorous data governance. Proficient in modern SDLC for AI projects, ensuring every pipeline is robust, secure, and production‑ready.
• Dynamic Collaborator & Question Seeker: Empathetic communicator who works independently with minimal supervision while fostering teamwork across departments. Finds the right questions and resolves problems with urgency and resourcefulness.

Our Tech Stack

• Backend: Node.js, AWS Lambdas (Serverless), Python, AWS Fargate
• Frontend: Angular (Latest), TypeScript
• Database: MongoDB (Atlas), Snowflake
• AI Tools: Cursor

Compensation

We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $130,000 - $160,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise.

Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process.

Flexibility

The Senior Data Engineer may benefit from the flexibility to work in a way that suits them best. Below are the working options available.

• Office‑Based: Our modern and well‑equipped office space provides a collaborative environment where you can work closely with your team, engage in face‑to‑face interactions, and foster a sense of community.
• Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.