Engineer - Data Analytics (SQL, Python)

• Responsible for delivery of business intelligence (BI) information to the entire organization, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
• Develop and maintain data integration solutions (including ETL/ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.
• Translate business needs and requirements to system requirements, data mapping, and data and semantic model design.
• Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including: scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.
• Provide training and consulting for various technical and non-technical internal teams.
• Produce work breakdowns and task estimates (scoping and tracking activities).
• Produce and document standard and best practices.
• Provide level 3 support for production systems.

Job-Specific Essential Duties and Responsibilities

• Responsible for delivery of business intelligence (BI) information to the entire organization, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
• Develop and maintain data integration solutions (including ETL/ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.
• Translate business needs and requirements to system requirements, data mapping, and data and semantic model design.
• Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including: scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability. Experience using SQL and Python is critical.

’- Bachelors degree (Masters preferred) in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or related field. Equivalent experience will be considered in lieu of a degree.

• 3 years of experience in a technical role engineering data and/or analytics solutions.
• May have additional training or education in area of specialization.
• Proven track record of successfully delivering data-centric projects.
• Ability to produce high quality documentation of business and system requirements, system design, data architecture, and training materials.
• Excellent data skills, including complex queries, performance tuning, expertise in a variety of approaches (e.g., relational, dimensional, unstructured).
• Skilled in building data and semantic layers utilizing enterprise analytic tools such as Tableau, Microstrategy or PowerBI.

Preferred Skills and Qualifications

• Exp with AWS
• Exp with SQL
• Exp with Python

Home Office Requirements

• Internet speed of 20mbps or higher required (you can test this by going to www.speedtest.net).
• Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router.
• Must currently and permanently reside in the Continental US.

$85,000

Maximum Salary

$94,000