Senior Data Engineer jobs in United States
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GAINSCO · 10 hours ago

Senior Data Engineer

GAINSCO is a company that values innovation and personal growth, seeking to empower its employees. The Senior Data Engineer will be responsible for designing and optimizing scalable data pipelines while mentoring junior engineers and collaborating with cross-functional teams to meet business needs.

Auto Insurance
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Responsibilities

Build and optimize scalable ETL/ELT data pipelines using Azure Data Factory, Azure Data Lake, Synapse, and/or Snowflake
Develop and maintain SQL Server databases, stored procedures, views, and performance-tuned queries at large scale
Implement data quality checks, validation rules, reconciliation, and error-handling frameworks to ensure trusted data delivery
Troubleshoot production issues, perform root-cause analysis, and proactively monitor pipeline performance and reliability
Build ingestion frameworks for structured/unstructured data, including real-time streaming via Kafka/Event Hub (as needed)
Partner with BI teams to deliver governed datasets and models that support Power BI reporting and self-service analytics
Follow CI/CD, change management, version control (Git), and release practices using Azure DevOps
Contribute to solution design, mentor junior engineers, and help drive best practices across data engineering standards

Qualification

Azure Data FactorySQL ServerPythonCI/CDData EngineeringKafkaAzure DevOpsData GovernanceTerraformDockerAnalytical MindsetCommunication Skills

Required

Bachelor's degree in Computer Science or a related field required
Minimum of 8 years of experience in data engineering, ETL development, or related roles
Advanced SQL skills and strong experience with Microsoft SQL Server at very large scale (up to petabyte-class environments)
Hands-on experience with Azure Data Factory, Azure Data Lake, Synapse Analytics, and Databricks
Strong programming skills in Python or Scala for transformation and automation
Experience supporting production workloads, troubleshooting issues, and optimizing systems
Working knowledge of Power BI datasets and reporting fundamentals
Practical experience with CI/CD, version control, and DevOps workflows (Git, Azure DevOps, GitHub Actions), including pipelines from ingestion to reporting
Familiarity with data governance, security, and compliance practices
Real-time streaming experience with Kafka or Azure Event Hub
Infrastructure as Code experience (e.g., Terraform)
Containerization experience (Docker/Kubernetes)
Exposure to data science workflows or ML model integration
Experience with BI tools beyond Power BI (e.g., Tableau, Looker, Qlik)
Strong analytical mindset and ability to troubleshoot complex data issues
Collaborative, adaptable, and comfortable working across cross-functional teams
Ownership mindset—delivers high-quality solutions with accountability
Continuous learner—keeps up with cloud/data engineering best practices
Strong communication skills—can explain technical concepts to non-technical audiences

Preferred

Azure/AWS certifications or data engineering certifications

Benefits

Excellent benefits package medical & dental, vision insurance, life insurance, short-term and long-term disability insurance.
Parental Leave Policy.
401K + Company Match.
PTO Plan + Paid Company determined Holidays.

Company

GAINSCO

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GAINSCO Auto Insurance® is a property and casualty insurance company concentrating on the non-standard personal auto insurance market, specializing in minimum-limits personal auto insurance.

Funding

Current Stage
Public Company
Total Funding
unknown
2011-02-02IPO

Leadership Team

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Dan Svob
Chief Financial Officer
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Phillip West
Senior Vice President & CIO
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Company data provided by crunchbase