Research Engineer

Posted 20 days agoViewed

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💎 Seniority level: Middle, 4+ years

📍 Location: United States

💸 Salary: 105000.0 - 130000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Murmuration👥 1-10

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: AWSDockerPythonSQLCloud ComputingFull Stack DevelopmentGCPJavaKubernetesMachine LearningAirflowAPI testingAzureData engineeringSparkTerraformScalaData visualization

Requirements:

4+ years of software engineering experience with a focus on full-stack applications, especially in data-driven domains
Strong programming skills in languages commonly used for data engineering or scientific computing (e.g., Python, Java, Scala) and familiarity with full-stack development
Experience designing and building scalable data systems, including data pipelines, APIs, and infrastructure to process large and complex datasets
Proficiency with databases and data processing frameworks (e.g., SQL, Spark, Airflow) and a solid understanding of data architecture best practices
Experience with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure tools like CDK, terraform, Docker or Kubernetes and IaC (e.g., Terraform, CDK)
Exposure to AI/ML technologies, with the ability to integrate models into production systems or enhance data-driven features
Strong problem-solving skills with the ability to anticipate technical challenges and make informed decisions based on past experience
Effective collaboration and communication skills with experience working cross-functionally and explaining technical concepts to both technical and non-technical audiences
A proactive, self-directed approach, with the ability to independently execute well-scoped projects and contribute to broader technical strategy
A passion for civic tech, social impact, or grassroots organizing and an interest in building tools that empower communities and drive social change

Responsibilities:

Design, build, and optimize features for Research tools that transform complex datasets into actionable insights for both community partners and internal teams
Develop scalable research tools and infrastructure to support internal data and data science efforts, enabling deeper analysis and faster iteration
Collaborate cross-functionally with data scientists, researchers, and other teams to prototype, test, and deploy data-driven solutions that address real-world organizing challenges
Implement and refine data pipelines and integrations, ensuring performance, reliability, and accessibility across large, complex datasets
Integrate emerging technologies, including AI and machine learning, to enhance Explorer’s capabilities and provide richer insights
Solve complex technical challenges while contributing to the long-term strategy for Explorer and Murmuration’s research tools

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