Axiom Pro is a leading recruiting and outstaffing company. One of our esteemed partners, a prominent U.S.-based provider of trusted life insurance solutions, is committed to ensuring financial security and delivering exceptional service. With a customer base of over 1.6 million policyholders, the company offers innovative coverage options designed to meet the needs of individuals at various stages of life. Dedicated to upholding values of trust and inclusivity, it maintains an A (Excellent) rating from AM Best.
We are currently assisting them in hiring a Senior Marketing Data Engineer and Automation Architect to strengthen their marketing data infrastructure and workflow automation.
Position Overview:
In this role, you will design and implement scalable, efficient, and automated data solutions to enable advanced marketing analytics. You will collaborate with data scientists, analysts, and marketing teams to support machine learning workflows, optimize data processes, and drive automation initiatives.
We seek a technically skilled, detail-oriented, and collaborative professional who thrives in a fast-paced environment and is passionate about transforming complex data into actionable business insights.
Responsibilities
– Develop and automate ETL/ELT pipelines for marketing data needs
– Prepare, clean, and structure datasets for machine learning workflows
– Deploy and monitor ML models in production environments
– Optimize data storage, retrieval, and transformation processes for scale and speed
– Utilize AWS services (e.g., S3, Lambda, SageMaker) to manage data workflows
– Build and maintain Power BI Data Flows for seamless reporting and analytics
– Implement automated testing and monitoring frameworks for data quality assurance
– Drive intelligent automation initiatives to improve operational efficiency
– Collaborate across organizational teams with a solution-oriented mindset
– Seek out and propose innovative approaches to support business transformation and marketing effectiveness
Requirements
– Required Qualifications and Skills:
– Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field
– Minimum 5 years of experience in data engineering, analytics, or a related area
– Expertise in Python and SQL for data processing and workflow automation
– Strong background in machine learning engineering, including model deployment and monitoring
– Hands-on experience with cloud platforms, particularly AWS (S3, Lambda, SageMaker)
– Experience building pipelines with orchestration tools such as Apache Airflow or Prefect
– Skilled in Power BI for building data visualizations and reports
– Ability to communicate complex technical concepts clearly to diverse audiences
– Excellent project management skills with the ability to work on multiple initiatives concurrently
– Strong analytical thinking, attention to detail, and a growth mindset
Preferred Qualifications:
– Master’s degree in a relevant technical field
– Experience with marketing analytics and direct marketing datasets
– Prior experience in the insurance or financial services industry
– Advanced proficiency with Power BI DAX language
– Familiarity with containerization tools like Docker
– Knowledge of statistical methods such as non-parametric statistics, resampling techniques, or Bayesian inference
– Experience with sequential testing or multi-armed bandit experiments for marketing optimization
Mandatory Skills
– Python
– SQL
– Machine Learning
– AWS
– Data Analysis
– Data Visualization
– Project Management
Salary
– Salary from $120.000 up to $180.000 per year
Working Day
– Full Time Job
Working Conditions
– Full-time, on-site position
– Work is performed in a temperature-controlled office environment
– Reasonable accommodations are provided for qualified individuals
Location:
– Plymouth, MI