Mid Level Data Infrastructure Engineer Jobs
Mid level data infrastructure engineer jobs go to engineers ready to own pipeline architecture end to end, make infrastructure decisions with limited oversight, and guide junior teammates through complex builds. Openings 22% remote or hybrid concentrate across Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, with employers like Figma, Cohere, and Delta Electronics (Americas) hiring at this level now.
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Showing 5 of 14+ Mid Level Data Infrastructure Engineer jobs
- Government Experience: Prior professional experience supporting U.S. State or Federal Government IT projects is mandatory.
- Data Engineering: Minimum 4 years of experience authoring and monitoring data pipelines.
- Education: Bachelor's or advanced degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field. Qualifying experience may substitute year-for-year, or a completed data engineering bootcamp plus an additional year of experience may satisfy the education requirement.
- Database Administration: Minimum 5 years of full-time equivalent (FTE) experience installing, configuring, maintaining, and administering enterprise databases, including schema management, user administration, capacity planning, and configuration standards.
- Backup & Disaster Recovery: Minimum 5 years FTE experience implementing database backup, restoration, high availability, replication, and disaster recovery solutions, including hands-on recovery scenarios.
- Database Operations: Minimum 5 years FTE experience monitoring database performance, optimizing queries and indexes, resolving database incidents, and documenting issues using ServiceNow, Jira, or equivalent ITSM tools.
- Database Automation: Minimum 5 years FTE experience using SQL, PowerShell, Python, or comparable tools to automate database administration, backups, maintenance, and deployment processes.
- Experience with AWS cloud architecture and Infrastructure as Code (Terraform or CloudFormation).
- Certifications in Azure Database Administration, SQL Server, Oracle OCA/OCP, AWS Database, PostgreSQL, or MySQL.
- Additional certifications: AWS Solutions Architect, AWS Security, Terraform Associate, CISSP, or CCSP.
- Experience supporting enterprise cloud modernization initiatives.
- Government Experience: Prior professional experience supporting U.S. State or Federal Government IT projects is mandatory.
- Data Engineering: Minimum 4 years of experience authoring and monitoring data pipelines.
- Education: Bachelor's or advanced degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field. Qualifying experience may substitute year-for-year, or a completed data engineering bootcamp plus an additional year of experience may satisfy the education requirement.
- Database Administration: Minimum 5 years of full-time equivalent (FTE) experience installing, configuring, maintaining, and administering enterprise databases, including schema management, user administration, capacity planning, and configuration standards.
- Backup & Disaster Recovery: Minimum 5 years FTE experience implementing database backup, restoration, high availability, replication, and disaster recovery solutions, including hands-on recovery scenarios.
- Database Operations: Minimum 5 years FTE experience monitoring database performance, optimizing queries and indexes, resolving database incidents, and documenting issues using ServiceNow, Jira, or equivalent ITSM tools.
- Database Automation: Minimum 5 years FTE experience using SQL, PowerShell, Python, or comparable tools to automate database administration, backups, maintenance, and deployment processes.
- Experience with AWS cloud architecture and Infrastructure as Code (Terraform or CloudFormation).
- Certifications in Azure Database Administration, SQL Server, Oracle OCA/OCP, AWS Database, PostgreSQL, or MySQL.
- Additional certifications: AWS Solutions Architect, AWS Security, Terraform Associate, CISSP, or CCSP.
- Experience supporting enterprise cloud modernization initiatives.
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Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Biotechnology & Pharmaceuticals
- Automotive
- Consulting & Professional Services
Mid Level Data Infrastructure Engineer Jobs: Frequently Asked Questions
How do I get a mid level data infrastructure engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you designed or rebuilt a pipeline, resolved production incidents independently, or reduced data latency at scale. Recruiters at this level want to see that you made technical decisions, not just executed tickets. Tailor your resume to show scope and measurable outcomes, and apply directly to roles listing the infrastructure stack you know best.
Which companies hire mid level data infrastructure engineers?
Companies hiring mid level data infrastructure engineers right now include Figma, Cohere, and Delta Electronics (Americas), based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large technology firms scaling their data platforms, financial services companies modernizing pipelines, and growth-stage startups building foundational infrastructure for the first time.
Are there remote mid level data infrastructure engineer jobs?
Yes, remote and hybrid options are common at this level. About 22% of mid level data infrastructure engineer openings are remote or hybrid as of November 2026, reflecting how distributed engineering teams have normalized for infrastructure roles. On-site positions tend to concentrate in sectors with strict data-residency or compliance requirements, such as finance and healthcare.
How do I move up to a mid level data infrastructure engineer role?
The path from entry level to mid level is built on accumulated ownership. Start by volunteering for projects that require you to design a component, not just implement one. Deepen expertise in a core area like distributed systems, orchestration, or storage optimization, and document the measurable impact of your work. Engineers who reach mid level fastest are those who proactively close gaps, take on production responsibility, and seek feedback on architectural decisions.
Which industries hire the most mid level data infrastructure engineers?
Mid Level data infrastructure engineer roles concentrate in Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of November 2026. These sectors generate high data volumes, operate under strict reliability requirements, and need engineers who can maintain and evolve infrastructure independently without constant senior oversight.