Data Engineer
MedRisk
full-time
Posted on:
Location Type: Hybrid
Location: California • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
ETLSQL
About the role
- Design, build, and maintain scalable and efficient data pipelines to ingest, process, and store structured and unstructured data.
- Establish and support scheduled ETL processes for reoccurring database updates.
- Automate workflows for extracting, transforming, and loading the data.
- Develop and optimize various data models that feed Business Intelligence product, and ensure high performance and scalability.
- Ensure data quality, accuracy, and reliability through validation, monitoring, and testing.
- Analyze data for discrepancies and identify errors and abnormalities in the data.
- Integrate data model into Business Intelligence platform.
- Work with cross-business teams to understand business objectives, translate them into technical requirements and deliver effective data solutions.
Requirements
- Bachelor’s Degree in Mathematics, Computer Science, Data Science, Statistics or related field.
- 5+ years of SQL experience, data engineering/analysis.
- Solid experience with SQL including table structuring, creating queries and stored procedures.
- Experience with ETL tools.
- Proficiency in MS Office Excel.
- Knowledge of Medical industry is a plus.
- Strong analytical and problem-solving skills.
- Ability to analyze complex data workflows and identify opportunities for optimization.
- Accuracy and attention to detail.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLETLdata modelingdata analysisdata pipeline designdata validationdata monitoringdata testingdata transformationdata ingestion
Soft skills
analytical skillsproblem-solving skillsattention to detailcommunication skillscollaborationorganizational skills