Data Engineer
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Job Location:
Pleasant Grove, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
At Veracity we aim to be a different kind of insurance partner one that is free from outside investors venture capital or the pressures of a corporate parent.
Ours is a culture of empowerment one that believes in effort results and accountability. We believe that transparency fosters trust trust fosters growth and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.
We answer only to the small business owners we serve and this independence allows us to stay focused on what matters most: helping their businesses thrive by providing expert guidance and best-in-class insurance policies.
Were growing fast and want you to be a part of it!
Were seeking a highly skilled Data Engineer to join our team on a hybrid schedule. Reporting to the Director of Data Services and Workflow this role will be responsible for driving the development of scalable data infrastructure and pipelines that drive advanced analytics and AI initiatives. This role plays a pivotal part in empowering data science and machine learning teams by delivering reliable well-structured and production-ready datasets optimized for model training evaluation and deployment.
Key Responsibilities
Here at Veracity youll be part of a team of trailblazers and visionaries. Were not just revolutionizing the way people do insurance; we are creating a whole new paradigm. Here you will experience a vibrant and inclusive workplace where your ideas matter! With us you have a chance to:
We are proud to be an equal-opportunity employer. We are committed to providing equal opportunities to all qualified applicants regardless of race color religion sex national origin disability or any other legally protected characteristics.
If you need accommodation please let us know during the interview process.
Ours is a culture of empowerment one that believes in effort results and accountability. We believe that transparency fosters trust trust fosters growth and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.
We answer only to the small business owners we serve and this independence allows us to stay focused on what matters most: helping their businesses thrive by providing expert guidance and best-in-class insurance policies.
Were growing fast and want you to be a part of it!
Were seeking a highly skilled Data Engineer to join our team on a hybrid schedule. Reporting to the Director of Data Services and Workflow this role will be responsible for driving the development of scalable data infrastructure and pipelines that drive advanced analytics and AI initiatives. This role plays a pivotal part in empowering data science and machine learning teams by delivering reliable well-structured and production-ready datasets optimized for model training evaluation and deployment.
Key Responsibilities
- Design build and maintain robust scalable data pipelines and ETL processes
- Collaborate with stakeholders to define data requirements for model development and ensure timely delivery of clean labeled and feature-rich datasets
- Develop and optimize data architectures to support structured semi-structured and unstructured data sources
- Ensure data quality integrity and compliance with governance security and privacy standards
- Monitor troubleshoot and optimize data workflows and infrastructure performance
- Establish and enforce best practices for data modeling documentation and team-wide engineering standards
- Evaluate and integrate emerging tools and technologies to strengthen data engineering capabilities with a focus on enabling AI/ML use cases
- Required to perform other duties as requested directed or assigned
- 4 years of proven experience in data engineering or a closely related role
- Strong proficiency in SQL and programming languages such as Python Scala or Java
- Hands-on experience with cloud platforms (e.g. AWS Azure GCP) and modern data warehousing solutions (e.g. Snowflake Redshift BigQuery)
- Deep understanding of data modeling ETL frameworks/tools (Fivetran) and distributed data systems
- Demonstrated experience working with large-scale datasets to support AI/ML applications
- Bachelors or Masters degree in Computer Science Engineering or a related field
- Knowledge of feature engineering data labeling and model monitoring pipelines
- Proficiency with workflow orchestration tools (e.g. Airflow Prefect AWS Glue) and version control systems (e.g. Git)
- Exposure to MLOps tools and practices for scaling and operationalizing ML workflows
- Understanding of data privacy regulations governance and ethical AI principles
- Health dental and vision plans
- Amazing work-life balance with 4 weeks of Paid Time Off
- 10 Paid Company Holidays with 2 floating holidays
- 401K Programs with employer match
- Personal assistance programs for support in a healthy personal and work life
Here at Veracity youll be part of a team of trailblazers and visionaries. Were not just revolutionizing the way people do insurance; we are creating a whole new paradigm. Here you will experience a vibrant and inclusive workplace where your ideas matter! With us you have a chance to:
- Engage in groundbreaking projects that are reshaping the insurance landscape
- Collaborate with a group of dedicated like-minded professionals
- Experience a culture that prioritizes growth and development
We are proud to be an equal-opportunity employer. We are committed to providing equal opportunities to all qualified applicants regardless of race color religion sex national origin disability or any other legally protected characteristics.
If you need accommodation please let us know during the interview process.
Required Experience:
Manager
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
A wholesale brokerage with general, professional, and product liability insurance solutions including in-house underwriting and binding authority with top-rated carriers.
