Senior Data Engineer

Are you an experienced Senior Data Engineer who enjoys solving complex problems, building reliable data solutions, and improving the way organizations use information? We are looking for a senior-level Data Engineer to help design, enhance, and support modern data platforms that drive business decisions.

This role is ideal for someone who takes ownership of technical challenges, values quality engineering practices, and enjoys collaborating with teams to create scalable and efficient solutions.

Our organization believes in empowering people, encouraging innovation, and creating an environment where individuals can do their best work. We value trust, collaboration, adaptability, and continuous improvement.

What You’ll Do

As a Data Engineer, you will play a key role in developing and maintaining enterprise data solutions. You will work independently on complex initiatives while partnering with technical teams, business users, and stakeholders to improve data accessibility, reliability, and performance.

Data Platform Development

• Architect, develop, and optimize scalable data pipelines and ETL processes.
• Create advanced SQL solutions with a focus on performance, accuracy, and efficiency.
• Build automation and data solutions using tools such as Microsoft Azure, Fabric, Spark, and Python.
• Support advanced analytics initiatives, including machine learning and AI-related engineering projects.
• Improve existing data processes through optimization and modernization.

Systems Integration

• Design and maintain integrations between internal platforms, third-party applications, and external partners.
• Develop and support APIs, including REST and SOAP-based services.
• Work with vendors and technical partners to ensure secure, reliable data exchange.

Data Operations & Reliability

• Monitor production data workflows and resolve issues impacting availability or performance.
• Identify opportunities to increase automation, reduce manual processes, and improve system stability.
• Troubleshoot complex technical problems and implement long-term solutions.

Collaboration & Engineering Practices

• Partner with Data, QA, and business teams to deliver high-quality solutions.
• Participate in planning discussions, stand-ups, technical reviews, and stakeholder meetings.
• Perform code reviews and promote engineering standards.
• Create and maintain documentation for systems, processes, and technical workflows.

Technical Leadership

• Provide guidance and mentorship to other team members.
• Share expertise through training, documentation, and best-practice recommendations.
• Lead complex data engineering initiatives from planning through successful delivery., * Data pipelines and integrations consistently support critical business operations.
• Systems become more efficient, automated, and scalable over time.
• Issues are identified and addressed proactively.
• Engineering practices improve through strong documentation, mentoring, and technical leadership.

Work Environment

• 100% remote position within the United States.
• Company-provided technology and equipment.
• Collaborative virtual environment with support from engineering, QA, and business teams.

Training & Onboarding

New team members receive training and support, including:

• Remote orientation sessions
• Internal tools and development processes
• Security procedures and best practices
• Approved AI and technology resources

Do you have experience in Version control systems?, Do you have a Bachelor’s degree?, The ideal candidate is a senior-level data professional who is comfortable taking ownership, solving ambiguous problems, and delivering dependable solutions in a fast-moving environment., * Bachelor’s degree in Computer Science, Information Systems, related field, or equivalent professional experience.

• Significant experience in data engineering, data architecture, software development, or a related technical role.
• Advanced SQL skills, including query optimization and performance tuning, advanced SQL platforms
• Strong experience with one or more programming/data technologies, such as:
• Python, dbt, C#
• Hands-on experience with data pipeline orchestration tools such as Azure Data Factory or similar technologies.
• Strong understanding of: Data modeling, ETL/ELT concepts, Data integration strategies, Modern data engineering practices, experience using version control platforms such as Git., * Taking ownership of challenging technical initiatives.
• Creating reliable, repeatable, and scalable solutions.
• Working independently while collaborating effectively with others.
• Improving processes, tools, and engineering standards.
• Balancing attention to detail with the ability to manage multiple priorities.

You should be comfortable working in an environment where accuracy, system reliability, and data quality are essential., * Data Engineering: 10 years (Required)

• SQL: 10 years (Required)
• Azure Data Factory / Fabric: 2 years (Required)
• ETL/ELT: 10 years (Required)

$120,000 - $150,000 a year - Permanent, Full-time, Contract, Pulled from the full job description

• 401(k)
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Health savings account
• Dental insurance, Full-Time Permanent or Contract-to-Hire Remote - United States Salary Range: $120,000 - $150,000 (based on skills, experience, and qualifications)

About the Opportunity, The expected salary range for this position is $120,000 - $150,000 annually. Final compensation will depend on experience, technical expertise, and other relevant qualifications.

Equal Opportunity Statement

We welcome talented professionals with diverse backgrounds and experiences. We believe different perspectives strengthen teams and help create better solutions.

This job description is intended to describe the general nature of the role and is not an exhaustive list of all responsibilities, duties, or qualifications.

Pay: $120,000.00 - $150,000.00 per year, * 401(k)

• 401(k) matching
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Paid time off
• Vision insurance