Data Engineer III

Relx - Raleigh, NC

Full-time - Mid Level

Remote - Raleigh, NC

Management of Companies and Enterprises

About the position

As a Data Engineer III at LexisNexis USA, you will be responsible for performing moderate research, design, and data engineering assignments within a specific engineering functional area or product line. This role involves owning a specific set or group of data transfers in various capacities, including collection setup, data transfer setup, and contributor/customer setup. You will interface with other technical personnel or team members to document, interpret, and finalize requirements, ensuring that the data engineering processes align with the overall product goals. Your primary responsibilities will include producing code that is efficient, repeatable, and adherent to best practices such as naming conventions and encapsulation. You will write and review portions of detailed specifications for the development of data components, complete data engineering bug fixes, and identify root causes of issues as appropriate. Additionally, you will identify opportunities to apply automation or other tools to improve effectiveness or efficiency in data handling. Collaboration is key in this role, as you will work closely with other development team members to understand product requirements and translate them into data engineering and/or data management designs. You will also innovate process improvements that enable efficient delivery and maintenance of data systems. Participation in the development processes, coding best practices, and code reviews will be essential to ensure high-quality outputs. You will oversee specific database management, ensuring that structure and data flow adhere to department standards. Utilizing various data workflow management and analysis tools will be part of your daily tasks, as will participating in process improvement and compliance initiatives to consistently deliver high-quality services on time. This role requires flexibility to react quickly to changes in priorities or circumstances to meet business needs. You will also be expected to operate in various development environments, such as Agile and Waterfall, while collaborating with key stakeholders and performing other duties as needed.

Responsibilities

• Perform moderate research, design, and data engineering assignments within a specific engineering functional area or product line.
• Own specific set or group of data transfers including collection setup, data transfer setup, and contributor/customer setup.
• Interface with other technical personnel or team members to document, interpret, and finalize requirements.
• Produce efficient, repeatable code that adheres to best practices such as naming conventions and encapsulation.
• Write and review portions of detailed specifications for the development of data components.
• Complete data engineering bug fixes and issues, researching and identifying root causes as appropriate.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Work closely with other development team members to understand product requirements and translate them into data engineering designs.
• Innovate process improvements that enable efficient delivery and maintenance.
• Participate in the development processes, coding best practices, and code reviews.
• Oversee specific database management ensuring structure and data flow adheres to department standards.
• Utilize various data workflow management and analysis tools.
• Participate in process improvement and compliance to deliver high-quality services on time.

Requirements

• Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, Management Information Systems, or a related field required.
• 3 years of experience in job offered or related occupations required.
• 3 years of experience utilizing business intelligence tools to collect, process, and analyze large amounts of structured and unstructured data.
• 3 years of experience using data modeling in a data warehouse environment for data architecture and database design.
• 3 years of experience using data manipulation languages to access and manipulate data in a table.
• 3 years of experience utilizing development languages including Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., and HPCC.
• 3 years of experience using data visualization to present analytical findings in reports, summaries, dashboards, graphs, and charts.