Data Engineer III
Role details
Job location
Tech stack
Job description
As a Data Engineer III, you'll play a senior technical role designing, building, and optimizing scalable data pipelines and platforms that power analytics, reporting, and data-driven decision-making across the organization. You'll lead complex engineering efforts, raise the bar on quality and reliability, mentor junior engineers, and partner closely with cross-functional stakeholders to translate business needs into robust data solutions., * 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.
Requirements
Do you have experience in Version control?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science or a related field required.
Certifications:
- Azure/AWS certifications or data engineering certifications preferred.
Experience:
- 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.
Skills and Abilities:
- 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.
Benefits & conditions
Pulled from the full job description
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance
- Life insurance, * 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.
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity
All offers are contingent upon a successful background investigation (including employment, education, criminal and DMV verification- when applicable) and a pre-employment drug test with results satisfactory to GAINSCO.
GAINSCO is an Equal Employment Opportunity Employer