Data Engineer

We’re seeking a data engineer to ensure compliance with data governance and data security requirements while creating, and improving our reusable data pipelines.  The ideal candidate will possess both creative and collaborative working within IT and across all business units as they work to promote effective data management practices and improve organizational leverage of data and analytics.  Come join our highly motivated team by applying below!

Role & Responsibilities:

• Gathers and analyzes business and customer requirements to identify and prioritize opportunities to improve efficiencies and processes through data integration.
• Uses user and stakeholder feedback to guide the development of new products and data integration enhancements.
• Prepares and manages technical documentation and self-service resources on data integrations.
• Creates and maintains data pipelines, including APIs and/or file-based integrations.
• Proactively monitors data integration performance and troubleshoots, resolves, and reports issues to impacted teams and stakeholders.
• Participates in vendor and tool selection to meet business needs and support development team workflows.
• Promotes the available data and analytics capabilities and expertise to business unit leaders
• Promotes a collaborative team environment and work closely with colleagues and stakeholders to achieve goals.

Education and Experience:

• 5 years or more of working experience in data management disciplines including data integration, modeling, optimization, data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• Bachelor’s or Master’s degree in computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field is required.
• An advanced degree or certificate in computer science (MS), statistics, applied mathematics, information science (MIS), data management, information systems, information science (postgraduate diploma or related), or a related quantitative field is preferred.
• The ideal candidate will have a combination of IT skills, data governance skills, and analytics skills with a technical or computer science degree.

Skills:

• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as [R, Python, Matlab].
• Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
• Working experience with SQL for relational databases.
• Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using traditional data integration technologies. These should include ETL/ELT, API design, and access.
• Working knowledge of optimizing existing ETL processes and data integration and data preparation flows and helping to move them into production.
• Basic experience working with popular data discovery, analytics, and BI software tools like PowerBI and others for semantic-layer-based data discovery.
• Strong understanding of popular open-source and commercial data science platforms such as Python, R, Alteryx, and others is a strong plus but not required/compulsory.
• Adept with agile methodologies.
• Familiar with DevOps and DataOps principles for data pipelines for improving the communication, integration, reuse, and automation of data flows between data managers and consumers across the organization.

Benefits:

• Base, bonus, and compensation commensurate with experience
• Vacation & Holidays: Generous paid time off plus 14.5 paid holidays
• Benefits: Health & dental insurance, long-term disability and life insurance, 401(k) match
• Awesome culture and opportunities for interaction across multiple departments with fun and exciting events and challenges
• We offer a culture that embraces a flex-time schedule to maximize both productivity and work-life balance