Data Engineer

Overview

On Site
$66 - $73 hourly
Contract - W2
Contract - Temp

Skills

Testing
Time Series
Manufacturing Execution System
Data Engineering
SQL
Scripting
R
SAS
MATLAB
Minitab
Machine Learning (ML)
Statistical Models
Data Analysis
Computer Hardware
Business Intelligence
Reporting
OBIEE
Analytical Skill
Statistics
Mathematics
Data Science
Computer Science
Python
Perl
Scripting Language
Aerospace
Manufacturing
Systems Engineering
Artificial Intelligence
Messaging

Job Details

RESPONSIBILITIES:
Kforce has an enterprise client seeking a Data Engineer 3 in Redmond, WA.

Responsibilities:
* Build statistical models to identify patterns and trends in production testing data (telemetry, time-series) to generate correlation and predictions
* Develop an understanding of the manufacturing execution system with its multiple sources of data and relationship; Analyze the production system data and derive insights into current bottlenecks and areas of improvement, along with specific actionable recommendations
* Collect, format and report periodic snapshots of the production and test data for consumption by other program managers and engineers
* Synthesize analysis and communicate insights and recommendations to various audiences
* Work closely with technical program managers and engineers to provide data insights that help explain anecdotes from the manufacturing floor, and provide actionable resolution steps
* Create templates and scripts to help scale and automate our ability to ingest, analyze, and enable quick data reviews

REQUIREMENTS:
* 7+ years of related experience (data science, data engineering, data analysis, ML engineering)
* 4+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, MATLAB, Minitab, etc.) experience
* 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
* Experience working reliable data analysis/Hardware reliability
* Experience working with large complex data sets
* Very strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE))
* Should have experience developing complex and a variety of reports
* A good candidate has strong analytical skills and enjoys working with large complex data sets
* Experience applying theoretical models in an applied environment
* A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies

Preferred Skills:
* Master's degree in a quantitative field such as Statistics, Mathematics, Data Science, Engineering, or Computer Science
* Experience in Python, Perl, or another scripting language
* Experience in aerospace, manufacturing, test processes and/or test systems development

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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