Senior Data Engineer

Remote (United States)

Job Details

Location: United States

Workplace: Remote

Employment Type: Full-Time

Experience: 5 years managing and mentoring data engineering teams or similar disciplines, plus 5 years of recent hands-on experience with data platforms and technologies

Schedule: Monday-Friday, with after-hours support when needed

Core Areas: Data Engineering, ETL, Data Warehousing, Data Lakes, Snowflake, Microsoft SQL Server, Microsoft Fabric/Power BI, Azure DevOps

Compensation: $140,000-$160,000 per year

About the Role

The Senior Data Engineer will oversee data engineering, reporting, development, and delivery of secure, scalable, and high-performing hosted and cloud-based data solutions. The role combines hands-on data engineering with technical leadership, team mentoring, architecture, platform reliability, and enterprise data management.

This position works across Microsoft SQL Server, Microsoft Fabric/Power BI, Snowflake, MongoDB, data lakes, data warehouses, ETL, Azure DevOps, CI/CD, and cloud database environments. Responsibilities also include defining enterprise data standards, supporting complex cross-functional initiatives, maintaining service levels, and strengthening security, resiliency, scalability, automation, and disaster recovery practices.

What You'll Do

• Oversee data engineering, reporting, development, and delivery of hosted and cloud-based solutions that are secure, performant, and scalable.
• Collaborate with developers, analysts, and stakeholders to prepare and deliver complex datasets that meet business requirements.
• Participate in Information Technology strategy, budgeting, and project planning activities.
• Define standards, procedures, and methodologies that support the security, integrity, resiliency, scalability, and performance of enterprise data resources.
• Lead data engineering support, maintenance, and change management activities, including service levels, efficacy reviews, and task and resource scheduling.
• Evaluate and adopt third-party tools, add-ons, and interfaces that improve product capabilities or operational efficiency.
• Stay current with evolving technologies, standards, and engineering practices related to security, quality, and automation.
• Participate in proactive assessments, lifecycle management, capacity management and planning, business continuity, and disaster recovery activities to maintain service levels.
• Help maintain system standards, information security practices, Incident Response plans, and Disaster Recovery plans that meet regulatory requirements, industry standards, and the enterprise security posture.

Qualifications

Required Experience

• 5 years of experience managing and mentoring data engineering teams or teams in similar technical disciplines.
• 5 years of recent practical experience implementing and supporting Microsoft SQL Server, Microsoft Fabric/Power BI, Snowflake, MongoDB, and data lake technologies, including administration, ETL, high availability, deployments, and disaster recovery.
• Extensive hands-on experience designing, developing, and managing traditional databases, cloud databases, data lakes, data warehouses, and NoSQL solutions.
• Demonstrated experience managing and participating in complex, cross-functional projects and driving technical innovation.
• Experience working with Azure DevOps and supporting SDLC, CI/CD development, and deployments.

Required Skills

• Strong ability to define and maintain secure, reliable, resilient, scalable, and high-performing enterprise data environments.
• Strong ability to compile, research, and analyze complex data.
• Ability to manage data engineering support, maintenance, change management, service levels, and resource scheduling.
• Strong understanding of high availability, disaster recovery, business continuity, information security, and incident response practices.
• Ability to work effectively within a geographically distributed organization.
• Excellent organizational and time management skills.
• Ability to explain complex technical topics clearly to non-technical audiences in both written and verbal communication.

Education

• Bachelor's degree in Computer Science, Engineering, or equivalent experience in a Database/Data Architect role or equivalent professional experience.

Benefits

• PPO and HDHP medical coverage, plus vision and dental insurance, with 90% of employee premiums and 65% of qualified dependent premiums covered.
• 401(k) retirement plan with a company match of up to 4%.
• Short-term disability, long-term disability, life insurance, and AD&D coverage paid 100% by the company.
• Unlimited PTO for exempt employees.
• Home office stipend.