Tebra - Data Engineer

• 3+ years of professional experience in Data Engineering, Software Engineering, or a related field. • 3+ years • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads. • Strong proficiency in Python and SQL with experience developing production-quality data pipelines. • Python • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms. • Spark, Airflow, Kafka, • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies. • Databricks • Snowflake • Delta Lake • lakehouse • Understanding of data modeling, data warehousing, and data governance best practices. • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts. • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices. • CI/CD • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams. • Excellent communication skills and a desire to continuously learn new technologies and engineering practices. • #LI-SS1 #LI-Remote • #LI-SS1 #LI-Remote • We are dedicated to attracting and retaining top talent with competitive and fair compensation. For this position, this range reflects our Zone 1 (National Average) pay band. Your specific compensation is thoughtfully determined by your experience, qualifications, the specific requirements of the role, and your Geo Zone. Our geo-zone system ensures your pay is competitive for your location, recognizing varying costs of labor across regions. • Our four geo zones are designed to reflect this:Zone 1: National AverageZone 2: Moderately Higher Cost RegionsZone 3: High-Cost RegionsZone 4: Lower-Cost Regions