Job summary
Job post source
This job is directly from R.E. Mason and its division Apperture Solutions.
Job overview
The Senior Data Engineer at R.E. Mason and Apperture Solutions leads advanced data engineering projects to develop scalable, reliable data solutions supporting business intelligence, industrial analytics, and machine learning.
Responsibilities and impact
The role involves designing and optimizing ETL/ELT pipelines, using Seeq Analytics for industrial data visualization, mentoring junior engineers, managing cloud data platforms, ensuring data quality and security, supporting machine learning deployment, enhancing CI/CD processes, troubleshooting data issues, and collaborating with stakeholders.
Compensation and benefits
The company offers a comprehensive benefits package including ESOP participation, retirement plans with Safe Harbor contributions, medical/dental/vision insurance, life and disability insurance, generous paid leave, parental leave, paid holidays, career development programs, financial wellness, employee assistance programs, and alternative/hybrid work schedules.
Experience and skills
Candidates need a bachelor's degree in Computer Science, IT, Engineering or related field, 3-5 years of data engineering experience, proficiency with Seeq Analytics, strong SQL and programming skills, experience with big data and cloud platforms, and good communication and problem-solving abilities; industrial data and machine learning experience are preferred.
Career development
The company supports career growth through a dedicated Career Development Program and encourages continuous learning and advancement within the employee-owned structure.
Work environment and culture
R.E. Mason and Apperture Solutions emphasize a strong company culture with long associate tenures, employee ownership, customer focus, and a hybrid work environment requiring three days in office and two remote days.
Company information
R.E. Mason is an Emerson Impact Partner serving multiple industries with process control and automation solutions, while Apperture Solutions provides technology-independent consulting and implementation services focused on data enablement and production optimization.
Job location and travel
The position is hybrid, requiring three days per week in the office and two days working from home, located in the regions served by R.E. Mason (North Carolina, South Carolina, Virginia).
Application process
Applicants must complete self-identification questions related to disability and veteran status as part of Apperture's Affirmative Action Plan; accommodations are available upon request.
Unique job features
This role uniquely integrates Seeq Analytics expertise with industrial data sources and cloud platforms, offering the chance to work on cutting-edge industrial analytics and machine learning deployments within an employee-owned company.
Company overview
R.E. Mason is a leading provider of process automation, control systems, and industrial solutions, primarily serving the Southeast United States. They specialize in offering comprehensive services and products, including engineering, consulting, and maintenance for industries such as chemical, pharmaceutical, and energy. Established in 1940, the company has built a reputation for innovation and reliability, partnering with major manufacturers like Emerson to deliver cutting-edge technology and solutions. Their revenue model is based on selling high-value equipment, software solutions, and ongoing service contracts, ensuring long-term customer relationships and recurring income.
How to land this job
Position your resume to highlight your expertise in designing and optimizing scalable ETL/ELT pipelines and your proficiency with Seeq Analytics, emphasizing your experience with industrial time-series data integration.
Focus on showcasing your skills in cloud platform management (AWS, Azure, or GCP), big data technologies like Hadoop and Spark, and your ability to lead technical teams and mentor junior engineers.
Apply through multiple channels including R.E. Mason's corporate website and LinkedIn to maximize your visibility and chances of being noticed for this hybrid Senior Data Engineer role.
Connect with data engineering and analytics professionals at R.E. Mason on LinkedIn, using ice breakers such as asking about their recent projects involving industrial data or expressing interest in how they leverage Seeq Analytics in their workflows.
Optimize your resume for ATS by incorporating keywords from the job description like 'ETL/ELT pipelines,' 'Seeq Analytics,' 'cloud data platforms,' 'machine learning deployment,' and 'industrial data sources' to ensure it passes automated screenings.
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