Caliber Collision

Data Engineer III

Job description

Service Center


Duties and responsibilities
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and various cloud technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Work with the business to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Create complex SQL queries and database objects (stored procs, views, etc.) to pull and manage data.
  • Developing complex data pipelines using SSIS packages, Azure Data Factory, or other related ETL/ELT tools to move and translate data
  • Create and maintain documentation on data pipelines
Requirements And Qualifications
  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field; or equivalent combination of education experience and training that provides the required knowledge and skills.
  • 4 – 6 years of experience in a Data Engineer role
  • Advanced working knowledge of SQL and T-SQL programming
  • Experience with ETL and Data Migration
  • Experience with relational SQL and NoSQL databases
  • Experience with object-oriented/object function scripting languages: Python etc.
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
  • Experience with Machine Learning is a great plus
  • Experience with Google Cloud Platform and Snowflake is a must
  • Experience with message queuing and stream processing such as Pub-Sub, Azure Event Grid, Kafka etc.
  • Experience with data pipeline and workflow management tools such as Airflow, etc.

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