Staff Data Engineer - RCM (Remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer - RCM in the United States.

This role offers the opportunity to build and optimize near real-time data pipelines that directly impact operational reporting and decision-making. As a Staff Data Engineer, you will design and implement scalable, fault-tolerant systems for ingesting, processing, and delivering data to support dashboards, analytics, and operational workflows. You will work closely with cross-functional teams including product managers, business analysts, and data scientists to transform complex event streams into actionable insights. This position emphasizes innovation, low-latency performance, and data quality, while providing a platform for influencing technical strategy and mentoring team members. Your work will ultimately help improve patient outcomes and support the mission of advancing mental healthcare.

Accountabilities

• Design, build, and maintain robust ETL/ELT pipelines for operational reporting using tools such as Kafka, Airflow, Dagster, dbt, and Glue.
• Implement scalable data architectures for near real-time analytics using Apache Flink and Spark Streaming.
• Optimize data pipelines and warehouses for low-latency performance, reliability, and cost-efficiency.
• Ensure high-quality, accurate, and compliant data for operational dashboards and analytics.
• Collaborate with cross-functional teams to translate business needs into data solutions.
• Establish and enforce data governance practices, including lineage tracking, metadata management, and regulatory compliance (HIPAA, CPRA).

• 8+ years of experience designing and maintaining data pipelines, including operational reporting and analytics.
• Strong proficiency in Python and SQL for data transformation, validation, and quality checks.
• Extensive experience with cloud infrastructure (AWS preferred) and data warehousing solutions such as Redshift, Snowflake, or BigQuery.
• Expertise in streaming architectures, including Kafka, Flink, or Spark Streaming.
• Strong understanding of data quality, governance, security, and compliance standards.
• Experience optimizing pipelines and large-scale datasets for efficiency, scalability, and low-latency delivery.
• Excellent collaboration and communication skills, with the ability to translate technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with infrastructure-as-code tools like Terraform or CloudFormation.
• Hands-on experience supporting ML/LLM pipelines, feature engineering, and unstructured data workflows.
• Knowledge of CI/CD for data pipelines and orchestration tools like Airflow or Dagster.
• Experience managing transitions from micro-batching to near real-time streaming architectures.

• Competitive annual salary of $184.1K–$216.6K with equity opportunities.
• 100% remote work for U.S.-based employees, supporting work-life balance.
• Comprehensive health benefits including medical, dental, vision, life, and disability coverage.
• Generous paid time-off policies, including company-wide shutdown weeks.
• Paid parental leave for all parents, including birthing, non-birthing, adopting, and fostering.
• 401(k) plan access and financial planning resources.
• Wellness programs, employee assistance programs, and professional development stipends.
• Home office setup support and team-building or in-person event stipends.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team.

Thank you for your interest!

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