Senior Data Engineer

R.E. MasonMidlothian, VA, US

14 hours ago

Job type

Full-time

Job description

Join to apply for the Senior Data Engineer role at R.E. Mason

As a 100% Employee-Owned company, Robert E. Mason & Associates, Inc. believes our Associates are the foundation of both our customers' and our success. Our strong company culture and belief in continued investment in our Associates have helped us realize long Associate tenures, as well as long lasting relationships with our customers. Under the Robert E. Mason & Associates, Inc. umbrella there are two divisions : R.E. Mason and Apperture Solutions

What Apperture Offers Associates

Participation in the Employee Stock Ownership Program (ESOP)
Retirement plan, including a Safe Harbor contribution
Medical / Dental / Vision Insurance
Employer paid Life Insurance and Long-Term Disability Insurance
Generous paid leave options that include vacation time, sick leave, personal leave time, R.E. Mason Way Half Day, paid Jury Duty, and paid Bereavement Leave
Paid Parental Leave
Paid company holidays
Career Development Program
Retirement and Financial Wellness program
Employee Assistance Program (EAP)
Alternative / Hybrid Work Schedules

General Description

The Senior Data Engineer will lead and architect advanced data engineering initiatives, guiding the development of scalable, reliable data solutions that support industrial analytics, business intelligence, and machine learning. This role requires deep expertise in data pipeline architecture, strong proficiency in data analytics, and experience integrating industrial data sources. The Senior Data Engineer will serve as a technical mentor and collaborate cross-functionally with data scientists, business analysts, and operations teams.

Specific Responsibilities

Design, implement, and optimize scalable ETL / ELT pipelines and data integration frameworks.

Lead efforts using analytics platforms (e.g., Seeq) to develop actionable interpretation and visualization of time series data from industrial systems.

Collaborate with stakeholders to define strategic data initiatives and architecture.

Architect and manage cloud-based data platforms (AWS, Azure, or GCP) to support analytics and reporting.

Support deployment and operationalization of machine learning models, advanced analytics solutions, and real-time data processing.

Ensure data integrity, quality, and security across systems and workflows.

Enhance CI / CD processes for data solutions with a strong DevOps mindset.

Identify and resolve complex data issues; perform root cause analysis and implement long-term fixes.

Provide technical direction and mentorship to junior data engineers and analysts.

Continuously evaluate emerging technologies to improve data infrastructure and capabilities.

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

Participate effectively in the Scrum process.

Required Competencies

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

5+ years of experience in data engineering or a similar role.

Demonstrated proficiency in data analytics (knowledge of Seeq is a plus).

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).

Proficiency 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 customer service skills.

Positive attitude and willingness to tackle challenges.

Ability to work independently and in a team environment.

Excellent communication skills, both written and verbal.

Excellent time management / prioritization skills.

Resourcefulness and troubleshooting / problem-solving aptitude.

Meticulous attention to detail and ability to follow instructions.

Required Education And Experience

BSc / BA in Computer Science, Engineering, or a related field.

Preferred Experience / Competencies

Experience with industrial data sources and IoT data such as SCADA / DCS, PLC, or process control.

Knowledge of data warehousing concepts and technologies (e.g., Redshift, Snowflake).

Understanding of machine learning concepts and experience with model deployment.

Certifications in relevant technologies and platforms.

Physical Requirements

Standing

Walking

Sitting

Kneeling

Reaching Overhead

Climbing

Pushing and Pulling

Lifting - 50 pounds

Using a Computer

Using a Telephone

Driving

Apperture is a federal contractor and, as such, is required to solicit the disability status and protected veteran status of candidates. Thus, you are required to answer self-identification questions as part of your application process. These questions are part of Apperture's Affirmative Action Plan and the completion of these questions will not have any effect on any consideration of your application materials.

In compliance with the ADA Amendments Act (ADAAA) , if you have a disability and need to request an accommodation in order to apply for a position with Apperture, please call our office at (704) 375-4465.

Seniority level

Mid-Senior level

Employment type

Other

Job function

Information Technology

Industries

Software Development

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Senior Data Engineer • Midlothian, VA, US

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