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Data Analytics Engineer
Lagniappe Sourcing Consulting LLC
- United States
- United States
Über
Data Analytics Engineer
to join an
Advanced Development Team
supporting cutting-edge aerospace and engineering programs. This role offers the opportunity to apply advanced data analytics and software engineering skills in a hands-on, collaborative environment focused on performance optimization, innovation, and reliability.
Key Responsibilities
Develop and maintain automated test and analysis tools
using Python, applying libraries such as Pandas, NumPy, and SciPy for large-scale data manipulation, analysis, and visualization of system performance metrics. Design data pipelines and analytical dashboards
to monitor performance, detect anomalies, and support data-driven decision-making. Implement version control workflows
using Git or Bitbucket, including branching, merging, and pull requests to support collaborative development. Perform deep data analysis and statistical evaluations
to identify trends, correlations, and potential areas for improvement. Document, track, and communicate findings
through clear reporting, dashboards, and presentations for both technical and non-technical audiences. Collaborate closely with software, systems, and testing teams
to troubleshoot issues, validate data integrity, and improve overall testing methodologies. Participate in code and design reviews
to ensure maintainability, scalability, and adherence to best practices. Continuously improve testing frameworks and analytics processes , advocating for automation, data integrity, and standardization across projects. Qualifications
Bachelor's Degree
in Computer Science, Software Engineering, Data Science, or a related technical field. 5+ years of experience
in a data-driven engineering or analytics environment. Proficiency in Python
for data analysis and automation (experience with Pandas, NumPy, SciPy, Matplotlib, or Plotly required). Experience with
Agile development methodologies
and collaboration tools such as Jira, Bitbucket, or GitHub. Strong understanding of
data visualization ,
statistical analysis , and
root cause investigation techniques . Proven ability to
design and automate data validation and test processes . Strong analytical, communication, and problem-solving skills. Self-starter capable of managing tasks independently while contributing effectively to a collaborative team. U.S. Citizenship required. Ability to obtain and maintain a
U.S. Government Security Clearance , if necessary.
Sprachkenntnisse
- English
Hinweis für Nutzer
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