Senior Data Engineer II
New
A
ActBluePolitical Technology
Registered States*: Arizona, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Wisconsin, and Washington D.C. 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., distributed teams across all U.S. time zonesFull-TimeSenior
Salary173,676 - 210,741 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLdbtDatabricksDatadogMLOps
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 using Databricks, Vertex AI, and other ML and MLOps tools.
- 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 ActBlue’s 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.
- Demonstrate technical leadership through writing documentation, establishing effective monitoring, and fostering clear and audience-oriented communication.
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