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.

We’re growing fast and want you to be a part of it!

We’re 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

Requirements and Qualifications
Required

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

Preferred

Bachelor’s or Master’s 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

Perks

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

Why Veracity?

Here at Veracity, you’ll be part of a team of trailblazers and visionaries. We’re 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

Compensation Range: $100k/yr - $115k/yr

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.

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Data Engineer

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