[Hiring] Software Engineer - Data Engineering @Noctua Technology

Role Description

The Data Engineering & AI/ML capability serves as the backbone of our organization's data-driven operations. We are seeking a talented and motivated Data Engineer to join our dynamic Data Engineering & Analytics team. As a key member of our engineering team, you will play a crucial role in:

• Constructing and optimizing data pipelines
• Implementing efficient storage solutions
• Orchestrating the infrastructure necessary to support our customer’s data-driven initiatives

Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams.

Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above.

Qualifications

• Solid understanding and experience with SQL and relational database concepts
• Solid understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka)
• Experience with data analysis tools (e.g., Jupyter, Colab, Pandas)
• Experience with data visualization tools (e.g., Tableau, Looker, PowerBI, Qlik, and SuperSet)
• Previous experience developing data strategies and facilitating data migrations into production systems
• Experience with cloud platforms (e.g., AWS, Azure, GCP)
• Proficiency in programming languages such as Python, Java, or C++
• Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code
• Familiarity with version control systems (e.g., Git) and collaborative development workflows
• Excellent problem-solving and critical-thinking skills
• Effective communication skills and ability to work in a collaborative team environment

Requirements

• Develop data migration strategies and schemas to lead customer migrations from on-prem to cloud technologies
• Perform data migration activities
• Optimize databases and data warehouses for efficient querying and data storage
• Perform exploratory data analysis to uncover patterns, trends, and insights
• Create visualizations and reports to communicate findings effectively to stakeholders
• Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts
• Create and maintain comprehensive documentation for code, algorithms, and models
• Act on client feedback constructively to improve services and outcomes
• Continuously seek ways to enhance the overall customer experience
• Stay updated on the latest developments in machine learning, data science, and analytics
• Drive innovation by proposing and implementing new techniques and technologies

Benefits

• Salary Range: $102,850 - $170,000

Preferred Qualifications

• Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, or a related field
• Experience with other database technologies (e.g., NoSQL, Graph)
• Any of the below cloud certifications:
  • Google Cloud Professional Cloud Architect
  • Google Cloud Professional Database Engineer certification
  • Google Cloud Professional Data Engineer
• Experience with additional data processing tools and technologies (e.g., Spark, Hadoop)
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)