Senior Data Engineer
107k - 162k USD
Remote
Full Time
#Engineering
#Data Engineering
#SQL
#Python
#Spark
#Pyspark
#AWS
#Databricks
#Infrastructure as Code
#Data Pipeline
#ETL
#Machine Learning
At Crisis Text Line, we believe in a world where no one has to face their darkest moments alone. We sit at the unique intersection of empathy and innovation, providing free, 24/7 mental health support through a massive network of trained volunteers. By joining our team, you are not just writing code. You are building the infrastructure that delivers life-saving support to people exactly when they need it most. We are a mission-driven organization that values equity, collaboration, and a growth mindset, and we are looking for someone who wants to use their technical expertise to make a tangible, human impact.
Role at a glance
We are looking for a Senior Data Engineer to join our team on a full-time basis. This is a remote position open to candidates residing in specific U.S. states. You will be a key player in our engineering department, focusing on the architecture and reliability of the data systems that power our crisis intervention services.
Your impact
- Design, build, and maintain highly scalable data pipelines using Infrastructure as Code principles and the Databricks platform.
- Collaborate closely with data scientists and cross-functional teams to translate complex business requirements into efficient data ingestion and integration processes.
- Develop and optimize big data processing workflows using Python, Spark, and PySpark while ensuring our data infrastructure remains secure and performant.
What you'll need
To be successful in this role, you should be a self-motivated problem solver with a passion for continuous improvement. We are looking for the following qualifications:
- At least 4 years of professional experience in data engineering or a related field.
- Expertise in managing complex data pipelines with Infrastructure as Code tools.
- Strong technical proficiency in SQL, Python, Spark, and PySpark.
- Hands-on experience working within AWS and Databricks environments.
- A solid understanding of distributed systems and the basics of machine learning.
- Excellent communication skills and the ability to thrive in a fast-paced, agile environment.
- A stable, high-speed internet connection to support seamless remote collaboration.
- Fluency in English.
Perks and compensation
The annual salary range for this position is $107,000 to $162,000. We are proud to offer a comprehensive benefits package designed to support your holistic well-being:
- Flexible remote work environment with a monthly internet stipend.
- Comprehensive medical, dental, and vision insurance for you and your family at no cost.
- 401k (403b) retirement plan with a 3% company contribution.
- Generous paid time off, including vacation, personal days, sick leave, and 20 paid holidays.
- Dedicated budget for professional development and annual wellness stipends.
- Additional support including mental health stipends, parental leave, and childcare assistance.
