Qventus, IncRemote
Forward Deployed Data Engineer
United States
Full-time
6 days ago
$140,000 - $220,000 USD
H1B Sponsor Likely
Key skills
Data pipeline developmentSQLPythonCloud data platformsData warehousing solutionsData qualitygovernanceHealthcare data experienceData privacy complianceCollaboration with stakeholdersMentoring peersMachine LearningData WarehousingAnalyticsSnowflakeBigQueryRedshiftDatabricksSparkKafkaAirflowdbtAWSAzureGCPLambdaS3RDSKinesisPostgreSQLMySQLMongoDBMentoring
About this role
Qventus, Inc is leading the transformation of healthcare by enabling hospitals to focus on patient care through innovative solutions. The Forward Deployed Data Engineer collaborates with clients to address critical data challenges, designing scalable data pipelines and architectures to support healthcare operations and analytics.
Responsibilities:
- Design, build, and maintain scalable data pipelines and architectures to support analytics, machine learning, and operational applications
- Collaborate with cross-functional teams to translate complex operational needs into reliable, well-modeled datasets
- Integrate and normalize data from multiple structured and unstructured healthcare sources (EHRs, scheduling systems, operational databases, etc.)
- Optimize query performance and data processing for speed, scalability, and cost efficiency
- Implement best practices for data quality, governance, and security in compliance with healthcare regulations (e.g., HIPAA)
- Support deployment, monitoring, and troubleshooting of production data systems
Requirements:
- Proven experience as a data engineer or in a similar role, with a track record of building and maintaining large-scale data infrastructure
- Strong proficiency in SQL and Python for data processing and pipeline development
- Experience with cloud data platforms and services such as AWS (RDS, Redshift, Lambda, S3), GCP, or Azure
- Knowledge of both relational and non-relational databases (PostgreSQL, MySQL, MongoDB, etc.)
- Familiarity with modern data workflow orchestration tools (Airflow, DBT, Dagster, etc.)
- Ability to work closely with both technical and non-technical stakeholders to gather requirements and deliver solutions
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- Experience working with healthcare data and integrating EHR, scheduling, or operational systems
- Familiarity with real-time data processing frameworks (Kafka, Kinesis, Spark Streaming, Flink)
- Knowledge of data warehousing solutions like Snowflake or BigQuery
- Hands-on experience with Databricks or similar data lakehouse platforms
- Strong understanding of data privacy, compliance, and security in regulated environments
- Experience mentoring peers or contributing to cross-functional technical strategy