Architect and optimize data pipelines for DBX ingestion and enable reliable, scalable analytics
Build calculation tables and feature stores for algorithms and machine learning models
Author SQL queries and maintain Power BI semantic models
Lead major cross-functional programs and drive strategic decisions across the company

Requirements

4+ years in data engineering, data science, analytics engineering, or related roles
Expert SQL and Python skills; hands-on experience with Spark, Databricks/Delta Lake, and robust ETL/ELT design
Bachelor's in Computer Science, Data Science, Statistics, or equivalent (MS preferred)
Familiarity with MLOps for productization
Strong data visualization experience with Power BI and Splunk query development

Benefits

Competitive salary
Flexible working hours
Professional development opportunities
Health insurance
401(k) matching

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonSparkDatabricksDelta LakeETLELTdata visualizationMLOpsanalytics engineering

Soft Skills

leadershipcross-functional collaborationstrategic decision making

Certifications

Bachelor's in Computer ScienceBachelor's in Data ScienceBachelor's in StatisticsMaster's in Computer ScienceMaster's in Data ScienceMaster's in Statistics