Senior Data Engineer - Data Infrastructure and Architecture
Company: C-4 Analytics
Location: Wakefield
Posted on: February 16, 2026
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Job Description:
Job Description Job Description 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 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. If you are unable to
complete this application due to a disability, contact this
employer to ask for accommodation or an alternative application
process. Who We're Looking For: Senior Data Engineer Data Alchemy:
Forging Insights from Information 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. Illuminate the Future of
Marketing Intelligence The ideal candidate will have a strong
background in ETL/ELT pipelines, data warehouse connectivity, data
cleaning, normalization, database architecture, database
optimization, and orchestration processes. This role will be
responsible for orchestrating and delivering enterprise-grade AI
pipelines. Connecting disparate data sources to Snowflake (our data
warehouse), ensuring the cleanliness and normalization of data, and
implementing database architecture best practices. Your Canvas
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 to their
highest potential Collaborate with cross-functional teams to ensure
that data storage and organization align with business needs and
objectives. Seamless Scaling & Performance Optimization Implement
database architecture best practices, including database sharding,
replication strategies, indexing, and optimization techniques to
enhance data performance. Compose Data Symphonies 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. Blueprint Before Building 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. Your Toolkit The Languages
You Speak: Python, SQL, the dialect of data Libraries | Tools:
Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy,
GitLab, Athena Your Trusted Companions: Docker, Snowflake, MongoDB,
Relational Databases (eg MySQL, PostgreSQL), Dagster,
Airflow/Luigi, Spark, Kubernetes Your AWS Kingdom: Lambda,
Redshift, EC2, ELB, IAM, RDS, Route53, S3—the building blocks of
cloud mastery Your Philosophy: Continuous integration/deployments,
(CI/CD) automation, rigorous code reviews, documentation as
communication Preferred Qualifications Familiar with data
manipulation and experience with Python libraries like Flask,
FastAPI, Pandas, PySpark, PyTorch, to name a few… Proficiency in
statistics and/or machine learning libraries like NumPy,
matplotlib, seaborn, scikit-learn, etc. Experience in building
ETL/ELT processes and data pipelines with platforms like Airflow,
Dagster, or Luigi What's important for us: Academically Grounded:
Bachelor's or Master's degree in Computer Science, Data
Engineering, or related field. Seasoned Practitioner: 5 years of
experience in data engineering, with a focus on data
infrastructure, architecture, and database management. Code
Craftsperson: Fluent in Python and SQL, expressing complex logic
with elegant simplicity Database Strategist: Understanding when to
deploy relational, vector, graph, or document data models. Strong
understanding of database architecture principles, including
sharding, replication, indexing, and optimization techniques. Data
Driven: Proficiency in designing and developing ETL/ELT pipelines
for data integration and transformation. Cloud Navigator:
Confidently guiding projects through the AWS ecosystem and hands-on
experience with Snowflake or similar cloud-based data warehouse
platforms. Dynamic Collaborator: Adept Problem-Solver with keen
attention to detail. Excellent problem-solving skills, attention to
detail, and the ability to work in a fast-paced, collaborative
environment. Your data and pipelines will directly power our most
core platforms that our client teams rely on to make million-dollar
decisions.” Infrastructure Poet – Expressing infrastructure needs
as clear, reproducible code. Packaging or containerizing
applications for consistency across environments. Knowledge of
information architecture best practices, data modeling, and data
governance. Question Seeker – Finding the right questions that
others haven't thought to ask. Brownie Points Visualization Artist
– Creating compelling visual narratives from complex data patterns
Statistical Thinker – Grounding engineering decisions in
mathematical rigor Framework Explorer – Experience with web
frameworks that extend data's utility Security Mindful – Navigating
enterprise security with confidence and care Compensation: We offer
a competitive compensation commensurate with experience and
qualifications. The salary range for this position is $120,000.00 -
$180,000.00. 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: We have a strong preference for
this position to reside in our Wakefield, MA office. The Senior
Data Engineer may benefit from the flexibility to work in a way
that suits them best. We offer the following working options:
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. Working at C-4 Analytics We provide our
employees with a range of benefits, including career development
programs, unlimited paid time off, and additional perks. All are
welcome to visit our careers and culture page for more details.
What our Employees Say: Want to know what makes working at C-4
Analytics so rewarding? Take it from the true experts: our current
teammates. Recent surveys about our workplace and culture suggest
that our staff loves: The People: It's not just a cliché; we have
the best, hungriest and smartest team in the business. The Culture:
Teamwork. Camaraderie. Perseverance. We hire for these traits, and
it shows. The Growth: We place a real emphasis on training,
development and career planning. The Trust: Our managers empower
their people and teams to thrive in their own ways. The Challenge:
We work in a competitive industry and a dynamic field. You'll never
be bored! In-Office Perks Accelerated Growth via Osmosis and
Coaching: Learn sales strategies and industry knowledge naturally
by hearing colleagues handle calls and receive instant feedback and
hands-on guidance from your manager and colleagues during in-person
weekly one-on-ones. Boosted Visibility and Networking: Build strong
connections with your team, leaders, and mentors, increasing your
visibility within the organization, which can lead to more
opportunities for career advancement. Soft Skills Mastery: Develop
crucial soft skills in a group setting, such as communication,
problem-solving, and teamwork, which are essential for long-term
professional success. Knowledge Transfer and Expertise: Benefit
from informal knowledge sharing and mentorship, ensuring constant
access to the information and guidance needed to become an expert
in the automotive world. Spark Innovation and Collaboration:
Physical proximity facilitates spontaneous discussions and
brainstorming sessions that spark innovative and creative solutions
to problems. Enjoy Daily Perks and Wellness: Fuel your day with
cold brew on tap, free beverages, and a stocked snack pantry.
Additionally, enjoy free weekly lunch and monthly wellness events
like Yoga and Paint & Sip. Structured Work-Life Balance: Our Monday
through Friday, 9:00 am to 5:30 pm schedule helps you separate work
from home, reducing the risk of burnout. More About C-4 Analytics
C-4 Analytics takes the guesswork out of advertising. We don’t
over-promise: we over-deliver. We provide real value to our clients
because we really value them as partners. We love Google and
Facebook, but also love Instagram and Bing. We innovate, educate,
and instigate. We are forward-thinking, but we learn from the past.
We are results-driven, and our strategies drive results. We love
the practical applications of psychology to marketing, but we
aren’t above a good practical joke. We are team players, but we
love to crush our competitors. We create an environment of respect,
and we respect the environment. We are the brains and the good
looks. We are very humble. We are nerds, but cool, likable nerds.
We are never gonna give you up. Never gonna let you down. We are
all work and all play. We calculated that only 15.8% of visitors
who started this paragraph would actually read this far down. We
are C-4 Analytics. Powered by JazzHR m7wqXdLLZc
Keywords: C-4 Analytics, Framingham , Senior Data Engineer - Data Infrastructure and Architecture, Engineering , Wakefield, Massachusetts
