Data Engineer

About Goosehead

Since 2003, Goosehead Insurance has been disrupting the insurance industry by giving clients the power of choice, utilizing a smarter marketing approach, and delivering world-class service. This is all powered by our focus on hiring and retaining extraordinary people. Our clients trust us with their most valuable possessions, so we’re more than just a bit selective when it comes to hiring new team members.

Job Summary

We’re seeking an experienced Data Engineer who is passionate about designing reliable, scalable, and high-performance data systems. The ideal candidate will thrive in environments where data quality, pipeline reliability, and clear communication are essential. You’ll collaborate closely with data scientists, analysts, and business teams to empower better decisions and smarter products.

Principal Duties and Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to support analytics and machine learning workloads.
• Develop and manage robust data models and warehouse structures that support self-service analytics and reporting.
• Work with stakeholders across the business to understand data requirements and ensure data availability, accuracy, and usability.
• Implement and monitor data quality and validation checks to maintain trust in our data assets.
• Collaborate closely with data science and analytics teams to ensure data infrastructure supports model training and deployment.
• Optimize data storage and query performance across cloud-based and relational systems.
• Stay current with emerging data engineering tools and architectures and advocate for best practices across the team.
• Follow company policies and procedures related to data security and privacy. 
• Participate in ongoing training for data-handling best practices. 
• Treat client and company data with the highest standards of confidentiality.
• Report any security or privacy incidents promptly. 

Experience and Education

• 3-5 years of experience in data engineering, data infrastructure, or related fields.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).
• Experience working with cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery).
• Strong knowledge of data modeling, data warehousing, and building ETL/ELT pipelines.
• Familiarity with modern data orchestration tools (e.g., Airflow, dbt).

Required Skills and Abilities

• Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).
• Strong communication and collaboration skills.
• Knowledge of data modeling, warehousing, and ETL/ELT development.
• Experience with cloud-based data solutions (e.g., AWS, GCP, Azure).
• Familiarity with data orchestration and workflow tools (e.g., Airflow, dbt).

Preferred Qualifications

• Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
• Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform).
• Experience supporting machine learning workflows and model deployment.
• Background in insurance, financial services, or other highly regulated industries.

Benefits Summary

• High-quality voluntary health, vision, disability, life, and dental insurance programs
• 401K Matching Plan
• Employee Stock Purchase Plan
• Paid holidays, vacation, and sick leave
• Corporate-sponsored programs to enhance employee physical, financial, mental, and emotional wellness
• Financial Solution Program

Equal Employment Opportunity:

Goosehead is an equal-opportunity employer and complies with all applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability. 

To learn more about our job opportunities, apply here. We look forward to speaking with you!