Staff Data Engineer
New
M
MyFitnessPalHealth and Fitness
Remote - USFull-TimeStaff
Salary$170,000 - $230,000
Apply NowOpens the employer's application page
Job Details
- Experience
- 8 - 12+ years in engineering roles, including 3 - 5+ years in data engineering at senior / architect / staff level
- Required Skills
- PythonSQLKafkaSnowflakeAirflowCI/CDTerraformData modeling
Requirements
- 8-12+ years in engineering roles, with 3-5+ years in data engineering at a senior, architect, or staff level.
- Extensive experience with Snowflake or similar data store.
- Proficiency with distributed and non-distributed, structured and unstructured data stores (e.g., MySQL, MongoDB, DynamoDB, Redis, S3).
- Advanced SQL skills with experience optimizing queries for large-scale datasets.
- Extensive experience with Airflow or similar orchestration tools.
- Experience writing high-throughput services in Python.
- Strong background in high-volume, event-driven architecture, including CDC and Kafka.
- Experience with API design patterns (REST, SOAP).
- Strong DataOps skills (modeling, CI/CD, source control, unit testing, validation frameworks).
- Familiarity with Infrastructure-as-Code, preferably Terraform.
- Experience implementing observability, monitoring, and alerting.
- Demonstrated success defining engineering standards or best practices.
Responsibilities
- Design, build, and maintain high-throughput, event-driven data services and orchestration pipelines using Python, Airflow, and Snowflake.
- Architect and evolve core platform components to ensure scalable, secure, and extensible data pipelines, including modernizing legacy ingestion patterns.
- Collaborate on the development and adoption of DataOps best practices such as data modeling, CI/CD, and automated testing.
- Define and evangelize data engineering standards, providing implementation guidance and code reviews for other engineers.
- Lead agentic development maturity by increasing the automation of engineering work through AI-assisted workflows.
- Shape data governance strategy, ensuring safe and consistent data access and query patterns.
- Manage cost efficiency for Snowflake and pipeline infrastructure, balancing performance with budget.
- Mentor data engineers and data analytics engineers to foster technical growth and architectural alignment.
- Lead cross-functional initiatives spanning infrastructure, data services, and observability.
View Full Description & ApplyYou'll be redirected to the employer's site
