Jobgether is hiring a Staff Data Engineer to build and optimize near real-time data pipelines that directly impact operational reporting and decision-making. You will design and implement scalable, fault-tolerant systems for ingesting, processing, and delivering data to support dashboards, analytics, and operational workflows. Your work will transform complex event streams into actionable insights to improve patient outcomes and support the company's mission of advancing mental healthcare.

What You'll Do

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).
Influence technical strategy and mentor team members.

What We're Looking For

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.

Nice to Have

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.

Technical Stack

Kafka, Airflow, Dagster, dbt, Glue
Apache Flink, Spark Streaming
Python, SQL
AWS, Redshift, Snowflake, BigQuery
Terraform, CloudFormation

Team & Environment

You will work closely with cross-functional teams including product managers, business analysts, and data scientists.

Benefits & Compensation

Competitive annual salary of $184.1K–$216.6K with equity opportunities.
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.