Senior Data Engineer II
New
While ActBlue is currently registered to support remote work in the states listed above, we possess the ability to register in additional states as needed., all U.S. time zonesFull-TimeSenior
Salary173,676 - 210,741 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLPostgresdbtRedshiftDatabricksMLOps
Requirements
- 5+ years of relevant professional experience in data engineering or backend development with a strong focus on Python.
- Expertise in writing clean, modular, tested, and production-ready Python code.
- Strong understanding of data architecture, distributed systems, and security best practices.
- Experience deploying and supporting production ML workflows, models (e.g., Databricks, Vertex AI, TensorFlow or equivalent), and MLOps.
- Experience with ELT tools such as Fivetran and data modeling frameworks like DBT.
- Solid command of SQL and experience working with large analytical databases (e.g., Redshift, Databricks, Postgres).
- Experience with monitoring and observability using Datadog or similar tools and optimizing production systems.
- Experience building cloud native data, analytics, and ML infrastructure and production systems using AWS.
Responsibilities
- Design, build, and maintain scalable, reliable, and secure data pipelines using Python.
- Develop reusable data services and frameworks that support high-quality data ingestion, transformation, and ML model deployment.
- Own and operate pipelines and services in production and optimizing for reliability and performance.
- Collaborate with data scientists and ML engineers to productionize machine learning workflows and models.
- Implement monitoring, testing, and CI/CD automation for data pipelines and ML infrastructure and services.
- Own and evolve real-time and batch data integrations between core systems and user-facing applications.
- Develop, optimize and support reverse ETL workflows using tools like Hightouch and ELT workflows using dbt.
- Participate in code reviews, mentor junior engineers, and help foster a high-trust engineering culture.
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