Salary: $115k - 140k per year
Reference: JOB-37406

Data Analytics Engineer

Position Overview Seeking an experienced Data Analytics Engineer to join an Advanced Development Team. This is a 100% onsite position with no remote or hybrid options available.

Key Responsibilities

Design and implement automated test scripts using Python, leveraging Pandas, NumPy, and SciPy for data manipulation, analysis, and visualization of engine performance metrics
Utilize version control systems (Bitbucket/Git) for collaborative development, branching, merging, and pull requests
Analyze test data to identify trends, anomalies, and areas requiring investigation
Document and track defects using appropriate tools
Collaborate with development teams to troubleshoot and resolve issues
Participate in code and design reviews, providing feedback on testability
Drive continuous improvement of testing processes and methodologies
Communicate results to technical and non-technical stakeholders

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, or related engineering field
Minimum 5 years of experience in a data-driven professional setting
Proficiency in Python programming with data analysis libraries and test automation frameworks
Experience with Agile methodologies and tools (Jira, Bitbucket)
Strong analytical skills with a passion for solving technical challenges
Expertise in data manipulation, visualization, and statistical analysis
Solid debugging and root cause analysis capabilities
Self-motivated team player capable of working independently
U.S. Citizenship required

#RIMUS

#Chuck Hennemann

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