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Senior Data Engineer - Menlo Park, United States - Bridg
Description
About CardlyticsRemember that time you got cash back on a cup of coffee through your banking app? That was us
Cardlytics (
NASDAQ:
CDLX) is the industry-leading purchase intelligence and incentives platform. We are a product-driven company that cares about three things: our people, our customers, and our partners.
Together, we make commerce more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through their banks' digital channels.
About the PositionSenior Data Engineer, Ads Marketplace will be part of a dynamic team rethinking and redefining ads delivery and optimization at scale, with a direct impact on millions of customers every day.
You will play a crucial role in supporting our Data Scientists in developing cutting-edge Machine Learning models powering the Cardlytics ad marketplace.
If you are passionate about data engineering, ML infrastructure, and enabling data-driven decision-making, we want to hear from you. Hands-on experience developing for digital advertising platforms will be a plus.Responsibilities
Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals.
Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment.
Collect, process, and prepare large datasets for analysis, feature engineering, and model training.
Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models.
Optimize data storage, retrieval, and processing performance for ML workloads.
Develop and maintain ETL (Extract, Transform, Load) processes and workflows.
Manage data versioning, storage, and access control for ML datasets.
Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments.
Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Proven experience as a Data Engineer, preferably in a role supporting Data Scientists.
Strong proficiency in programming languages such as Python, Java, or Scala.
Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark).
Experience with data warehousing solutions and data integration tools.
Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc.
Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes).
Excellent problem-solving skills and a collaborative mindset.
Excellent oral and written communication skills with a keen sense of customer service
At Cardlytics, our people, partners and product are the driving force behind everything we do. Our shared values embody our commitment to those three things.
Across all roles, we are looking for teammates with these values:
Customer and Partner-first
Act with Urgency and Focus
Integrity with our partners and data
Accountability even when challenged
Empowerment over hierarchy
Growth over comfort
Compensation
The anticipated base salary for this role is $190,000 - $220,000 annually, not including bonus and other benefits.
Cardlytics' salary ranges are determined by role, level, and location, and individual pay may be determined by additional factors such as role-related skills, experience, education, training, and more.
Benefits and PerksFlexible paid time off plus company holidays
Medical, dental, and vision insurance begins on your first day
401(k) retirement plan with company match, plan also includes a student loan debt repayment option
Employee Stock Purchase Plan
New hire home office stipend
Monthly phone/internet stipend
Educational assistance for continuing education
Lifestyle Spending Account for physical, emotional, and financial wellness (like gym memberships, home down payments, art classes, park passes, and more)
Complementary Calm app subscriptions to support employee mental health and wellbeing
As an equal opportunity employer, Cardlytics is committed to diversity, equity, and inclusion. Our people bring our products and organization to life, and every unique perspective makes us better.
If you can do the job and you're excited about growing with us as we scale our best-in-class advertising platform, we'd love to hear from you.
If you need accommodation in the recruiting process due to a disability, please email or inform your recruiter.#J-18808-Ljbffr
