Mid-Level Data Engineer

Remote

Full Time

Build

Mid Level

We’re looking for a Data Engineer to build, improve, and support the data pipelines and infrastructure that power our products and organization. You’ll work with SQL, Python, Spark/PySpark, Databricks, AWS, and Infrastructure as Code to develop reliable, scalable data solutions and help ensure the performance and quality of our production data environment.

You’ll collaborate with engineers, data scientists, and teams across Crisis Text Line to translate data needs into thoughtful, maintainable solutions. We’re looking for someone with strong data engineering fundamentals and hands-on experience building and supporting production data pipelines. You don’t need experience with every technology in our environment—we value transferable experience, curiosity, and the ability to learn and solve problems collaboratively.

Our Stack

You’ll work across a modern, cloud-based environment, including:

Languages & Processing: SQL, Python, Spark/PySpark
Data Platform: Databricks
Cloud: AWS
Infrastructure as Code: Terraform
Observability: Datadog
Data Stores: MySQL, PostgreSQL, and Redis
Delivery & Reliability: Automated CI/CD, monitoring, and shared ownership of production data pipelines

Responsibilities:

Design, build, maintain, and improve reliable production data pipelines as part of our broader data and engineering environment.
Develop and optimize data processing workflows using SQL, Python, Spark/PySpark, and Databricks.
Partner with engineers, data scientists, and business teams to understand data needs and translate them into practical, maintainable solutions.
Build and maintain integrations between data sources and our data infrastructure.
Use Infrastructure as Code practices to support and improve our AWS data environment.
Monitor pipeline health, data quality, and performance; troubleshoot issues and contribute to solutions when something isn’t working as expected.
Automate repeatable processes that improve the reliability, efficiency, and maintainability of our data pipelines.
Participate in shared production support and develop confidence diagnosing and resolving pipeline issues independently.
Contribute to code reviews, technical documentation, and engineering standards that help the team build reliable and maintainable systems.
Bring ideas, ask questions, and identify opportunities to improve our data tools, processes, and engineering practices over time.

Required Qualifications:

Approximately three to five years of professional data engineering, software engineering, or related experience, including meaningful responsibility for production data pipelines.
Professional experience using SQL and Python to build, transform, and troubleshoot data.
Experience building, maintaining, and supporting production data pipelines or ETL/ELT workflows.
Experience with distributed data processing technologies such as Spark or PySpark.
Familiarity with cloud-based environments such as AWS and modern data engineering practices.
Experience testing, debugging, monitoring, and improving the reliability and performance of production data systems.
The ability to independently complete well-defined engineering work, investigate problems, and clearly communicate technical decisions, risks, and tradeoffs.
A collaborative approach to working with engineers, data scientists, and cross-functional partners, with a commitment to building secure and reliable data systems.

Preferred Qualifications

The following experience would be useful, but we encourage you to apply even if you do not meet every item:

Databricks or a comparable cloud-based data platform.
AWS services and cloud-based data architecture.
Terraform or another infrastructure-as-code tool.
Lakehouse modeling such as medallion architecture and data warehousing.
Datadog or comparable monitoring and observability tools.
Data quality, automated testing, CI/CD, or deployment automation.
Designing data systems for reliability, performance, scalability, and security.
Supporting data used for analytics, reporting, or machine learning workloads.
Claude or other AI-assistance code tools.
Working in a mission-driven, regulated, safety-sensitive, or high-trust environment.

Reliable High-Speed Internet Required: Must have a stable high-speed internet connection to support seamless remote collaboration, virtual meetings, online job tasks, etc.

For United States-based candidates:

The target salary range for this position, across the United States, is $99,704 - $116,990. Starting salary will vary based on location, qualifications, and prior experience. Candidates will learn the range specific to their location during the interview process. We pay competitively in the tech-forward nonprofit space and offer a robust benefits package.

This is a remote position within the United States. At the time of hire and throughout employment, the employee’s primary residence and regular home work location must be in one of the following approved hiring states: California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Pennsylvania, Tennessee, Texas, Utah, Virginia, or Washington state.

No visa sponsorship available for this position.

Benefits & Well-Being

Crisis Text Line recognizes that we are all unique human beings with unique life circumstances, and our benefits package aims to be as flexible as possible to support your needs as you work to promote mental well-being for people, wherever they are. Our benefits package is thoughtfully designed using an equity lens, with input from our team and from industry best practices.

Highlights include:

Comprehensive medical, dental, and vision options that prioritize accessibility and financial peace of mind
Employer-funded HSA contributions
Generous PTO, sick time, and 19 paid holidays with a winter break
12 weeks of fully paid parental leave after 26 consecutive weeks of service
Monthly internet and mental health stipends
Annual Wellness Stipend
Home office and professional development stipends
403(b) retirement plan with employer contribution
Sabbatical after 3 years of service

Benefits are for U.S.-based employees; international benefits may vary.

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Mid-Level Data Engineer

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