SeniorLead Machine Learning Data Engineer

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Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress.

As a senior or lead machine learning data engineer, you'll work on a Claims IT team focused on developing machine learning platform solutions for machine learning operations and deployment. You'll use data-focused software engineering and languages like Python to solve problems with techniques you may need to research, learn, and implement. You'll use your strong technical experience to develop and deploy the machine learning platform. You'll build and deploy these solutions leveraging cloud services and resources from cloud providers. You'll also build out the necessary data pipelines to support Data Science models, enable efficient access to multiple data sources, support packaging and deploying new models or updated models to production, and create the necessary infrastructure needed for model training.

This is a remote position for US based work only.

Must-have qualifications

• Bachelor's Degree or higher in an Information Technology discipline or related field of study and minimum of two years of work experience designing, programming, and supporting software programs or applications.
• In lieu of degree, minimum of four years related work experience designing, programming, and supporting software programs or applications may be accepted.

Preferred skills

• Data focused software engineer with experience integrating cloud services and resources (e.g., AWS - S3, EC2, Lambdas) and with ability to process large volumes of structured and unstructured data
• Experience with Unix/Shell scripting, Bash, Snowflake or Tecton, Terraform, Docker, highly proficient in Python and experience with one or more parallel computing and/or data manipulation tools (e.g., Prefect, Spark, SQL or related multiprocessing package)
• Deployment of machine learning models for real-time use cases and understanding of machine learning algorithms
• Experience designing and evaluating approaches to high volume real-time data streams
• CI/CD automation (e.g., GIT, GitHub actions, or Azure DevOps)

Compensation

• $118,000 - $164,800/year depending on position level and experience
• Gainshare annual cash performance incentive payment up to 30-40% (depending on position level) of your eligible earnings based on company performance

Benefits

• 401(k) with dollar-for-dollar company match up to 6%
• Medical, dental & vision, including free preventative care
• Wellness & mental health programs
• Health care flexible spending accounts, health savings accounts, & life insurance
• Paid time off, including volunteer time off
• Paid & unpaid sick leave where applicable, as well as short & long-term disability
• Parental & family leave; military leave & pay
• Diverse, inclusive & welcoming culture with Employee Resource Groups
• Career development & tuition assistance
• Onsite gym & healthcare at large locations

Energage recognizes Progressive as a 2024 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership.

Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment. Progressive does not hire candidates with (e.g., F-1 CPT, OPT, or STEM OPT, H-1B, O-1, E-3, TN) statuses for this role.

Equal Opportunity Employer

For ideas about how you might be able to protect yourself from job scams, visit our scam-awareness page at https://www.progressive.com/careers/how-we-hire/faq/job-scams/

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