Senior Data Engineer

Insperity; Houston (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Top-tier health benefits

Flexible schedule

Paid time off

Volunteer hours

Job summary

Insperity is seeking a Senior Data Engineer to lead enterprise data architecture and pipeline development. You will collaborate with developers, architects, analysts, and stakeholders to deliver scalable data solutions and insightful visualizations.

The role emphasizes data security, self-service analytics, and continuous innovation, with opportunities to mentor teammates and drive data-driven decisions across the organization.

Qualifications

• Five to seven years of professional experience in information systems.
• Three+ years of experience developing, architecting, managing, or maintaining enterprise-grade software systems.
• Bachelor's Degree in Computer Science or related field or equivalent work experience.
• High School Diploma or equivalent is required.

Responsibilities

• Creates and maintains data pipeline architectures to meet continuing needs of stakeholders.
• Assembles large, complex data sets that meet business requirements.
• Collaborates with infrastructure and architecture teams to optimize data acquisition and transformation.
• Innovates to ensure easy visualization and reporting across the enterprise.
• Defines and implements self-service/highly scalable visualization strategies.
• Ensures data security across all implementations and environments.
• Leads efforts to find, evaluate, and adopt emerging data technologies.
• Mentors and partners with teams across the technology department.

Skills

Stakeholder management

Mentoring

Team leadership

Education

Bachelor's degree in Computer Science or related field

High School Diploma or equivalent

Tools

SQL

Big Data technologies

Data Visualization

ETL

Job description

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.

Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We've earned recognition time and again as a top place to work-named among the best by respected organizations like Glassdoor and U.S. News & World Report. We're also proud to be recognized for one of the country's Top 50 Midsize Early Talent Programs through RippleMatch's Campus Forward Awards. There's never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.

Why Insperity?

• Flexibility: Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.
• Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.
• Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.

We are seeking a talented Senior Data Engineer to join our team.

Summary

This position is responsible for working as a senior member of the Enterprise Data Engineering team. Takes a proactive and creative approach to expanding and optimizing enterprise-wide data and data pipeline architectures, collection of data from sources across the company, and visualization and reporting strategies of the collected data. Implements data pipelines, acquires, transforms, and optimizes data sets for various use cases across the company. Ensures data sets are prepared for easy consumption by internal and external customers. This position will collaborate regularly with developers, architects, analysts, data scientists, and business facing users across various data initiatives and will ensure architectures and strategies remain consistent throughout ongoing projects. Responsible for continued improvement of our company's data architecture and visualization strategies to support next generation products and data initiatives. Builds a relationship with all levels of stakeholders to represent the team as a trusted partner across the business through their deep knowledge of the subject and proven ability to deliver valuable solutions.

Responsibilities:

• Creates intentional relationships with stakeholders of all levels to ensure solutions that utilize the data pipeline meet their needs and will provide actionable, data driven insights long term.
• Identifies, designs, and implements process improvements with a heavy focus on automation, data delivery optimization, self-service, and scalability.
• Forms deep working relationships with stakeholders including Executives, Product Management, Centers of Excellence, and others.
• Creates and maintains data pipeline architectures to meet continuing needs of stakeholders.
• Assemble large, complex data sets that meet business requirements.
• Collaborates with various infrastructure and architecture teams to optimize acquisition and transformation of data from a wide variety of data sources using SQL and other 'big data' technologies.
• Innovates solutions to ensure easy visualization and reporting across the enterprise.
• Defines and implements self-service/highly scalable visualization and reporting strategies across the enterprise.
• Ensures data security across all implementations, data centers, cloud providers, client machines, etc.
• Encourages, challenges, and collaborates with team members to build and optimize our data assets into an innovative competitive advantage.
• Helps lead team activities and serves as a catalyst and initiator for innovation and creation of new solutions.
• Serves as a mentor, trainer, and inspiration to other team members and partners with teams within the technology department.
• Leads efforts to find, evaluate, and explore emerging and upcoming technologies to keep the team abreast of new trends and on the leading edge of developing practices, tools, and state of the art.

Qualifications:

High School Diploma or equivalent is required. Bachelor's Degree in Computer Science or related field, or equivalent work experience in the Business Intelligence/Data Engineering field specifically, is desired. Five to seven years of professional experience in information systems is required with at least three (3) years' experience developing, architecting, managing, or maintaining enterprise grade software systems, database administration, or simila