Director of Data Engineering

Job not on LinkedIn

🕒 July 29

🌪️ Kansas – Remote

🌪️ Kansas – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solvd US

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

Solvd US is redefining claims management across Auto & Property through a blend of AI innovation, proprietary technology, and expert-led services that deliver measurable results for Insurers, Fleets, Rental, TPAs/MGAs, and adjacent industries.

📋 Description

• Define and maintain the architecture for the company’s data lake and data warehouse • Own the technical direction and standards for data ingestion, transformation, and storage • Ensure data quality, reliability, security, and governance across the data platform • Manage, mentor, and develop a team of data analysts and data engineers • Set technical expectations, development standards, and operational practices • Review designs, implementations, and analytics deliverables • Work with an external partner to design and implement the initial data infrastructure • Oversee knowledge transfer and transition to internal ownership • Collaborate with application engineering, DevOps, and business teams to align data solutions with organizational needs • Design and manage data pipelines that ingest data from multiple internal and external data sources in various formats • Integrate and consume data from external platforms, including Databricks-based systems • Support analytics and reporting use cases through curated datasets and data models • Enable self-service analytics and reporting using Amazon QuickSight • Build and operate data infrastructure on AWS, including S3, Glue, Athena, and Redshift or PostgreSQL • Implement and maintain infrastructure as code using AWS CloudFormation • Ensure deployments, monitoring, and operational processes are automated and repeatable • Support AI and machine learning initiatives through data preparation and feature engineering • Evaluate future technologies and platforms, including Databricks, as potential components of the data ecosystem.

🎯 Requirements

• Bachelor’s degree in Computer Science , Engineering, Data Science, or equivalent experience • 8+ years of relevant professional experience • 3+ years of people leadership experience • Strong experience in data engineering and data warehousing architecture • Experience ingesting , transforming, and modeling data from multiple data sources and formats • Hands-on experience with AWS data services (S3, Glue, Athena) • Experience with data warehouses such as Amazon Redshift and/or PostgreSQL • Experience implementing infrastructure as code using AWS CloudFormation • Proficiency in SQL • Experience leading technical teams • Experience integrating with external data platforms or vendor-managed data systems (e.g., Databricks) • Python for data processing, automation, or analytics • Familiarity with .NET-based application environments • Knowledge of AI/ML concepts and model development workflows • Experience with CI/CD pipelines and cloud security best practices.

🏖️ Benefits

• Comprehensive benefits, including health, dental, and vision insurance. • 401(k) plan options • Paid time off, sick time, and paid holidays. • A fully remote work environment with flexibility and autonomy. • The opportunity to grow with a dynamic, innovative team in a startup-like culture.