Our client, an industry leading process equipment, software, and service provider to improve automation, process control, and reliability, is seeking a Seeq Data Engineer to join their team. As a Seeq Data Engineer, you will play a crucial role in leveraging data analytics platforms to transform raw data into actionable insights. This position requires a strong background in data engineering, experience with Seeq Analytics, and a passion for solving complex data problems.

Job Title: Mid-Sr. Data Engineer

Location: Charlotte, NC, Durham, NC, Richmond, VA

Type: Full-time – perm

Visa: USC / GC

What’s the Job?

• Develop, implement, and maintain data pipelines and ETL processes to ensure efficient data flow and transformation.

• Utilize Seeq Analytics to analyze time-series data, generate insights, and support decision-making processes.

• Experience in a data visualization tool such as PowerBI or related.

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

• Optimize and tune data systems for performance and reliability.

• Ensure data quality and integrity across various data sources.

• Create and maintain documentation related to data engineering processes and workflows.

• Assist in the deployment and management of machine learning models and advanced analytics solutions.

• Troubleshoot and resolve data-related issues in a timely manner.

• Support internal customers by developing innovative solutions to meet their data needs.

• Enhance and support the CI/CD automation needs of the business.

What’s Needed?

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

• 3-5 years of experience in data engineering or a similar role.

• Proficiency in Seeq Analytics, including experience with its core functionalities and features.

• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL).

• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).

• Proficient in at least one programming language (e.g., Python, Java, Scala).

• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Strong problem-solving skills and the ability to work independently and in a team environment.

• Excellent communication skills, both written and verbal.

What’s in it for me?

Benefits available through client**

If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.