Principal Data Engineer at Prescryptive Health

Ideal for a senior data engineer with over 8 years of experience, specifically with 3+ years focused on Snowflake architecture, performance tuning, and security

Work type: remote

Location: Remote - US - All | Remote - Wyoming | Remote - Wisconsin | Remote - West Virginia | Remote - Washington D.C. | Remote - Washington | Remote - Virginia | Remote - Vermont | Remote - Utah | Remote - Texas | Remote - Tennessee | Remote - South Dakota | Remote - South Carolina | Remote - Rhode Island | Remote - Pennsylvania | Remote - Oregon | Remote - Oklahoma | Remote - Ohio | Remote - North Dakota | Remote - North Carolina | Remote - New York | Remote - New Mexico | Remote - New Jersey | Remote - New Hampshire | Remote - Nevada | Remote - Nebraska | Remote - Montana | Remote - Missouri | Remote - Mississippi | Remote - Minnesota | Remote - Michigan | Remote - Massachusetts | Remote - Maryland | Remote - Maine | Remote - Louisiana | Remote - Kentucky | Remote - Kansas | Remote - Iowa | Remote - Indiana | Remote - Illinois | Remote - Idaho | Remote - Hawaii | Remote - Georgia | Remote - Florida | Remote - Delaware | Remote - Connecticut | Remote - Colorado | Remote - California | Remote - Arkansas | Remote - Arizona | Remote - Alaska | Remote - Alabama | Prescryptive Health Headquarters

Salary: $177,000 – $215,000/yr

Type: Full-time

Ideal for a senior data engineer with over 8 years of experience, specifically with 3+ years focused on Snowflake architecture, performance tuning, and security, and a proven track record in building secure data marts adhering to HIPAA compliance. **What makes it worth a look...** This full-time, fully remote Principal Data Engineer role with Prescryptive offers a salary of $177,000 to $215,000 annually. The company provides 100% employer-paid medical, dental, and vision premiums, a 401k match, and HSA contributions. **You might be a good fit if you...** * Have 8+ years of data engineering experience and 3+ years hands-on with Snowflake. * Are proficient in SQL, Python, and building ETL/ELT pipelines using tools like Azure Data Factory, Airflow/Dagster, and dbt. * Possess experience with cloud platforms (Azure, AWS, GCP) and data modeling techniques (Kimball, Data Vault 2.0). * Have 5+ years of experience using Power BI for data visualization.

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