Introduction
We are seeking a dynamic, innovative, and experienced professional to join our team. This hands-on role is critical to designing, building, testing, and maintaining our data warehouse and broader data platform. You will play a key role in enabling data-driven decision-making by ensuring business teams have access to clean, performant, and well-modeled data. As a member of our team, you will transform raw data into actionable insights through scalable pipelines, robust data models, and intuitive reporting tools.
Required Skills & Qualifications
- Applicants must be able to work directly for our company on W2.
- 5 years of experience in data engineering with expertise in Snowflake, SQL, ELT / ETL, data warehousing, and pipeline development.
- Strong SQL skills and experience with performance tuning.
- Deep understanding of dimensional modeling and data architecture principles.
- Familiarity with Azure cloud services.
- Experience with BI tools such as Power BI or Metabase.
- Knowledge of Agile / Scrum practices.
- Excellent communication skills (written and verbal).
- Strong problem-solving and incident management capabilities.
- High attention to detail and commitment to data accuracy.
Preferred Skills & Qualifications
Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).Proficiency in programming languages such as Python or Java.Experience with orchestration tools and CI / CD pipelines (e.g., GitLab).Familiarity with cloud platforms such as Azure and modern data tools like Snowflake.Exposure to machine learning / AI concepts.Experience working with APIs and integrating external data sources.Background in the insurance industry is a plus.Day-to-Day Responsibilities
Design, build, and maintain scalable data platforms including data warehouses, lakes, and marts with strong data governance, security, and privacy controls.Develop reliable data ingestion pipelines using scheduled and event-driven patterns. Optimize performance and ensure resilience.Implement data quality frameworks, validation checks, and safeguards to minimize pipeline failures and data integrity issues.Redefine legacy ingestion methods, retire technical debt, and perform impact analysis for proposed changes.Build custom reports and dashboards using tools like Power BI, Metabase, etc.Work closely with product owners and cross-functional teams to understand business needs, clarify requirements, and deliver solutions using agile methodologies.Identify inefficiencies, automate processes, and recommend improvements to optimize data flows.Provide technical support for production incidents, ensuring system stability and continuous improvement.Company Benefits & Culture
We offer a collaborative and inclusive work environment that values diversity and promotes a culture of continuous learning and growth.Opportunities for professional development and career advancement.Comprehensive benefits package including health, dental, and vision insurance.For immediate consideration please click APPLY to begin the screening process with Alex.