Senior Data Engineer – Remote LifeStance Health

At Life Stance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in mental healthcare.

Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team!

• Belonging:
  We cultivate a space where everyone can show up as their authentic self.
• Empathy:
  We seek out diverse perspectives and listen to learn without judgment.
• Courage:
  We are all accountable for doing the right thing – even when it’s hard – because we know it’s worth it.
• One Team:
  We realize our full potential when we work together towards our shared purpose.

As a full-time employee of Life Stance Health, the following benefits are offered: medical, dental, vision, AD&D, short and long-term disability, and life insurance. Additional benefits include a 401k retirement savings with employer match, paid parental leave, paid time off, holiday pay and an Employee Assistance Program.

The Senior Data Engineer will play a key role in building, maintaining, and optimizing cloud-based data solutions that support data-driven decision‑making s role requires expertise in AWS data services (Glue, Redshift, Lambda, S3, Kinesis), SQL, Python, Apache Spark, and Postgre

SQL, with a focus on scalability, performance optimization, and real‑time processing.

You will work closely with data analysts, business intelligence teams, and software engineers to ensure data integrity, governance, and efficiency, while also serving as a production support lead for troubleshooting and maintaining high availability of our data infrastructure.

$110,000 – 135,000/annually, plus annual bonus potential

• Scalable Data Infrastructure – Design and optimize AWS‑based data pipelines for structured and unstructured data processing.
• Real‑time & Batch Processing – Develop robust ETL/ELT pipelines leveraging Apache Spark, AWS Glue, and Kinesis.
• Production Support & Issue Resolution – Lead real‑time monitoring, troubleshooting, and optimization of data pipelines.
• Data Warehousing & Performance Optimization – Optimize Postgre
  
  SQL, Redshift, and S3‑based data lakes for high performance.
• Cost‑efficient Data Engineering – Improve cost‑efficiency and scalability of cloud data infrastructure.
• Data Governance & Compliance – Implement security, compliance, and governance frameworks aligned with HIPAA, GDPR, and SOC
  2.

Production Support & Issue Resolution

• Provide primary data engineer for real‑time production support, ensuring minimal downtime of mission‑critical data pipelines. Rotate the role and on call requirements.
• Monitor, troubleshoot, and optimize data pipeline failures, query performance bottlenecks, and data discrepancies using AWS Cloud Watch, Redshift, and Postgre
  
  SQL.
• Automate Root Cause Analysis (RCA) reporting, reducing resolution time by 30%+ through proactive alerting and system monitoring.
• Implement best practices in IAM roles, encryption, and regulatory compliance (HIPAA, GDPR) to ensure data security and governance.

Data Engineering & Platform Optimization

• Design, develop, and maintain scalable ETL pipelines using AWS Glue, Lambda, Redshift, S3, and Postgre
  
  SQL.
• Optimize query performance through partitioning, indexing, query tuning, and materialized views, achieving significant performance improvements.
• Implement CI/CD pipelines for automated deployments using AWS Code Pipeline, Terraform, and Cloud Formation to improve system stability and deployment efficiency.
• Support streaming data pipelines using Kafka, Kinesis, or Spark Streaming for real‑time data ingestion and processing.
• Assist in scaling, performance tuning, and automation to optimize data platform efficiency.

Data Analytics & Business Insights

• Collaborate with business intelligence teams and analysts to develop high‑quality data models that support analytics and decision‑making.
• Build interactive dashboards and reports using Power BI, Tableau, or Looker to enable real‑time insights for stakeholders.
• Automat…