Senior 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

You are an experienced Data Engineer who is passionate about designing reliable, scalable, and high-performance data systems. You thrive in environments where data quality, pipeline reliability, and clear communication are essential. You enjoy collaborating 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
• Manage and scale data pipelines from internal and external data sources
• Develop and manage robust data models and warehouse structures that support self-service analytics and reporting
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance
• Implement and monitor data quality and validation checks to maintain trust in our data assets
• Work with stakeholders across the business to understand data requirements and ensure data availability, accuracy, and usability
• Optimize data storage and query performance across cloud-based and relational systems.
• Stay current with emerging data engineering tools and architectures
• Responsible for implementing best practices around systems integration, data modeling, optimization, security, performance, and data management to ensure reliability, scalability, and maintainability of the infrastructure
• Empower the business by creating value through the increased adoption of data, data science, and business intelligence landscape
• Collaborate closely with data science and analytics teams to ensure data infrastructure supports model training and deployment
• Research in state-of-the-art methodologies
• Create documentation for learning and knowledge transfer
• Create and audit reusable packages or libraries
• Implement data security and compliance measures

Experience and Education

• BA/BS in Computer Science, Math, Physics, or other technical fields.
• 6+ years of hands-on experience in data engineering, data infrastructure, or related fields.

Required Skills and Abilities

Required:

• Experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.
• Experience working with cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery).
• Strong knowledge of data modeling, data warehousing, and building ETL/ELT pipelines.
• Experience with version control systems like Github and deployment & CI tools.
• Familiarity with modern data orchestration tools (e.g., Airflow, dbt).
• Excellent communication and collaboration skills.

Preferred:

• 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.
• Experienced in coaching and mentoring team members to foster growth and development.

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!