All new
Data Science
jobs, in one place.

Updated daily to help you be the first to apply ⏱

Product Data Engineer
  • Python
  • Spark
  • PySpark
  • SQL
  • SAS
  • Excel
  • ETL
  • Hadoop
  • Business Intelligence
  • Azure
Columbus, OH
135 days ago
We Are SafeAuto:SafeAuto is a thriving insurance company based in Columbus, Ohio. For over 25 years we have continued to provide our customers with engaging customer service and technology that makes insurance easy to understand. At SafeAuto, our culture, values, and commitment to diversity define who we are and what we do. We strive to provide a culture that is forward-thinking and inclusive. Here at SafeAuto, we value providing affordable car insurance to every customer so they can enjoy the road ahead.
Job Summary:The Product Data Engineer requires expert knowledge of Python and some knowledge of PySpark and cloud computing. The Product Data Engineer is responsible for building and maintaining data processes, reports, and automation solutions for the Product team. They will also be responsible for acting as a liaison to IT for Product support, release, and data issues.Essential Skills and Job ResponsibilitiesComputer Science Skills
  • Able to transform data in Python, set up API’s, and write audit production code with minimal supervision
  • Familiar with PySpark and distributed computing
  • Familiar with cloud data pipelines and storage
  • Experience with Azure Data Factories and Data Bricks preferred
Business Skills
  • Able to document requirements, data sources, pipelines, data structures, and data dictionaries
  • Intermediate Excel skills with knowledge of common spreadsheet functionality including v-lookup, pivot tables, charts, graphing, and macros
An understanding of various methods of visualizing analyses and presenting data in a way that can be easily consumed by less technical staffAble to understand business requirements and translate them into actionable solutionsNon-technical SkillsAbility to communicate technical issues clearly to audiences of varying technical abilityExperience with insurance data is a plusIntellectual curiosity including an innate need to explore data in creative ways to discover new truths and insightsAdept at forming independent questions, given the data and processes available, in order to move the company forwardSpecific Job Responsibilities
  • Maintain and update existing data processes and reports using R, Python, SAS, SSIS, SQL, Excel, PowerBI, and Shiny
  • Investigate and refine new data sources for inclusion in Product data processes
  • Perform data cleaning, transformation, and validation tasks (i.e. ETL processes)
  • Automate generation of data sets and files
  • Document code, data, and processes
  • Utilize version control software such as Git or similar alternative
  • Adhere to Product team standards
  • Liaison with IT on Product support, release, and data issues
  • Adhere to IT testing and release protocols when performing automation tasks which interface with IT systems
  • Interact closely with others to understand the end business need for data
  • Communicate the impact of data and processes
Required Education and Experience
  • BS in Computer Science or similarly related field
  • 2+ years of professional experience with data processing and reporting in either an engineering or business intelligence context
  • 2+ years of professional experience with SQL
  • Hadoop, Azure, and R experience a plus
The Perks: Comes Standard:
  • Great benefits the day you start – health, dental, and vision
  • Location, location, location! Go shopping on your break at Easton or hop on 270 for a quick trip home to say hi to your pets.
  • Paid time off and eight (8) paid holidays so you can visit your family, take a trip, or enjoy a staycation
  • 401k with company match
  • Rewards for great work – yearly performance-based bonuses
  • Opportunity for advancement in a growing company and industry
Included Luxuries:
  • Casual dress – jeans and T-shirts encouraged
  • Wellness program
  • Onsite café – late sleeper who never makes breakfast? We’ve got you covered. Breakfast and lunch available five days a week.

Physical Demands:The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We are an equal opportunity employer and value diversity at our company. We give consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other protected classification.

    Related Jobs

  • Machine Learning Engineer

    • PyTorch
    • scikit-learn
    • Keras
    16 days ago
  • Data Scientist - Permanent - London

    • SQL
    • Machine Learning
    • Python
  • Senior Data Scientist

    • Machine Learning
    • Python
    • SAS

    • Modeling
    Huntington Ingalls Industries Inc.
    Fort Shafter
  • Senior Marketing Data Scientist, Enterprise

    • Looker
    • SQL
    • Tableau
    San Francisco