Senior Data Engineer

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POST DATE 8/30/2016
END DATE 11/29/2016

AppleOne Encino, CA

Encino, CA
AJE Ref #
Job Classification
Full Time
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Company Ref #
Required Licenses/Certifications
Min Salary
Max Salary
Salary Unit
per year


The Senior Data and Business Intelligence Engineer drives identifying the needs of various stakeholders, creating solutions to meet those needs, and helping to draw meaningful insights to drive organizational action. The Senior Data and Business Intelligence Engineer is responsible for the end-to-end engineering of data and business intelligence solutions, including data visualization. The Senior Data and Business Intelligence Engineer is expected to have strong technical and business acumen, be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment

? Collaborate with various stakeholders in eliciting and articulating solution requirements
? Manage data and data requests to improve the accuracy of our data and decisions made from data analysis
? Work on data and problems across departments to drive improved business results through designing, building, and partnering to implement models
? Analyze information to draw insights which can drive organizational action
? Make architectural decisions for the data analytics platform and solutions
? Design scalable data analytics platform and solutions
? Assess, benchmark and select data analytics, reporting, and data visualization technologies
? Provide guidance and mentor other data engineers
? Promote and implement data integration patterns
? Communicate technical solutions to ensure techniques are well understood and incorporated into processes
? Lead Proof of Concept (POC) deliverables as needed
? Use knowledge of integrated requirements to evaluate potential software products
? Provide talent development through the education of other engineers and data analysts on standards, provide direction and guidance on tools and guidelines and provide coaching, mentoring, training, performance feedback, and development recommendations to groom less experienced designers
? 10+ years of IT experience
? 3-5 years of insurance sales and distribution industry experience
? 3-5 years of data analytics and visualization experience
? Experience with Business Intelligence frameworks and tools
? Experience with RDBMS and SQL, preferably MS SQL Server
? Experience with data profiling
? Experience working in an agile/iterative environment
? Prior development experience
? Excellent written and verbal communication
? Experience with system integration, desktop technologies, windows server platforms and mobile technologies
? Experience with statistical modeling techniques such as linear regression, logistic regression, generalized linear models, tree models (CART, MART), data visualization, cluster analysis, principal components and feature creation, validation
? College degree with concentration in data and quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research
We are an equal employment opportunity employer and will consider all qualified candidates without regard to disability or protected veteran status.