Data Engineer

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Medical, dental, vision

This Jobot Job is hosted by: Brittany Packard
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Salary: $100,000 - $150,000 per year

A bit about us:

## About Us

We are a technology consulting and managed services company helping businesses manage their data, modernize IT infrastructure, and improve operational performance. Our services include database management, cloud solutions, data analytics, business intelligence, and AI implementation. We partner with organizations to optimize technology systems, improve data reliability, and turn complex information into actionable insights that support better business decisions. Through a combination of technical expertise, consulting, and ongoing support, we help clients maintain reliable systems and adapt to evolving business needs.

Why join us?

## Benefits

• Competitive salary
• Medical, dental, and vision insurance
• 401(k) retirement plan
• Paid time off and company holidays
• Flexible work arrangements, depending on position
• Professional development and career growth opportunities
• Collaborative and supportive work environment
• Opportunities to work with emerging technologies and innovative solutions

Job Details

# Data Engineer

## About the Company
We are a technology consulting and managed services company helping businesses manage their data, modernize IT infrastructure, and improve operational performance. Our services include database management, cloud solutions, data analytics, business intelligence, and emerging technologies. We partner with organizations to build reliable, scalable technology solutions that support business growth and informed decision-making.

## Position Overview
We are seeking a Data Engineer to design, develop, and maintain data pipelines and infrastructure that support analytics, reporting, and business intelligence initiatives. This individual will work with large datasets, integrate information from multiple sources, and ensure data is accurate, accessible, and reliable. The ideal candidate has strong technical skills, a problem-solving mindset, and the ability to collaborate with technical teams and business stakeholders.

## Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data models, database structures, and data integration workflows.
• Extract, transform, and load data from multiple sources into centralized data platforms.
• Monitor data quality, troubleshoot pipeline issues, and improve system performance.
• Work with relational and non-relational databases to support business and analytical needs.
• Collaborate with data analysts, software engineers, and business stakeholders to understand data requirements.
• Support cloud-based data infrastructure and data warehousing solutions.
• Implement data validation, security, and governance best practices.
• Document data architecture, processes, and technical solutions.
• Identify opportunities to improve data processing efficiency, scalability, and reliability.

## Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• Experience developing data pipelines and managing data integration processes.
• Strong proficiency in SQL and experience with Python or another programming language.
• Familiarity with relational databases, data warehouses, and data modeling concepts.
• Experience with ETL/ELT tools, workflow orchestration, and data processing frameworks.
• Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication skills and the ability to

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