Mid Level Operations Engineer Jobs
Mid level operations engineer jobs go to engineers ready to own projects end to end, guide junior teammates, and make process decisions with minimal oversight. Roles are distributed across on-site, hybrid, and remote settings in Technology & Software, Electronics & Hardware, and Consulting & Professional Services, with employers like Amazon, Apple, and Brex hiring at this level now.
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Showing 4 of 86+ Mid Level Operations Engineer jobs
Data Operations Engineer
W2 contract, min of 6 months
HYBRID out of Atlanta, GA; Dallas, TX; Houston, TX; Auburn Hills, MI
Target W2 $36/hr
Reporting to the Director Enterprise Data Management, the Engineer, Data Operations designs, develops, and operates secure, scalable, and high performing data and infrastructure solutions supporting a nationwide auto finance organization. This role serves as a technical contributor within the infrastructure team, driving data pipeline development, ETL optimization, and warehouse modernization across SQL Server, Azure Data Factory, and Microsoft Fabric, as well as the enterprise servers, storage, and software-defined cloud and network environments that underpin them. The Engineer, Data Operations partners with analytics, application, security, and operations teams to ensure data and infrastructure solutions align with enterprise architecture, regulatory requirements, and business objectives.
Essential Duties And Responsibilities
- Design, Develop, and Implement Data and ETL Solutions & Integrations – Assist in the design, development, and implementation of data solutions and integrations to optimize performance, scalability, and reliability.
- Monitor, Troubleshoot, and Resolve Problems – Implement and support effective monitoring to proactively identify and resolve issues, conducting effective root-cause analysis to address underlying problems and prevent recurrence.
- Provide Support & Optimization – Offer expertise in diagnosing and resolving issues by implementing the necessary corrective actions and/or fixes, ensuring the operational efficiency, reliability, and scalability of data systems and ETL processes.
- Document Technical Processes & Solutions – Maintain documentation for process and system configurations, engineering designs, and troubleshooting procedures to support knowledge sharing and ensure continuity of operations.
- Collaborate on Cross-Functional Projects – Work with team members and other departments to support business and technology initiatives and integrations, drive innovation, and improve workflows.
- Support Initiatives, Timelines, Budgets, and Deliverables – Support initiatives, timelines, budgets, and deliverables as assigned to ensure successful outcomes, managing priorities and resources effectively to meet business objectives.
- Data Analytics & Performance Monitoring – Collect data to track key metrics (KPIs, SLAs, and SLOs) and identify areas of risk and/or improvement using standard methodologies to deliver value to business partners.
- Ensures Business Alignment – Work closely with Product and/or Process Engineering team members to implement technical solutions with business partners that align with business goals using standard methodologies.
- Develop solutions to retrieve and process vendor data feeds, applying ETL processes to ensure efficient ingestion into enterprise staging systems.
- Develop T-SQL code to transform staging data from multiple vendors into a cohesive, business aligned warehouse structure, applying logic to enhance clarity and usability.
- Develop solutions to extract and transform data from the warehouse, applying customer specific business logic to create and deliver tailored datasets for internal and external consumers.
- Monitor, analyze, and optimize long-running T-SQL processes, applying performance tuning techniques to improve efficiency and ensure timely completion.
- Develop and/or contribute to the Enterprise Data Dictionary.
- Additional duties may be added as business needs evolve.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and relevant professional experience.
- Minimum of five years of experience in SQL development and support, with strong SQL Server fundamentals.
- Solid understanding of ETL development with SSIS workflows.
- Experience with Azure SQL setup and configuration, and Azure Data Factory (pipelines, activities, datasets, linked services, data flows, and integration runtimes), and Microsoft Fabric.
- Strong understanding of database systems monitoring and support, software best practices, and development methodologies.
- Experience with FTP tools for file transfer.
- DBA experience across SQL Server, Azure SQL, Fabric, Snowflake, and Redis Cache.
- Problem-Solving & Critical Thinking – Ability to analyze, troubleshoot, and develop solutions for complex issues and challenges, including troubleshooting in a multi-tier environment, supported by strong analytical and diagnostic skills.
- Design & Architecture – Knowledge of designing scalable, efficient, and secure data and ETL solutions.
- Automation – Proficiency in common database technologies (on-prem and cloud) and ETL tools, along with scripting and automation languages/tools, including T-SQL, cloud data factory, and data pipelines.
- Business & System Analysis – Ability to translate business requirements into high-level designs and technical specifications as needed.
- Database Optimization – Ability to analyze query execution plans and optimize database code, perform database maintenance and indexing, and conduct code reviews.
- Documentation & Communication – Ability to document processes, requirements, and troubleshooting steps clearly using industry-standard methodologies and formats, with strong communication skills to collaborate effectively with technical and non-technical stakeholders.
- Collaboration & Cross-Functional Work – Experience working with teams across different disciplines to integrate and optimize solutions.
- Frameworks & Methodologies – Experience utilizing relevant frameworks and methodologies to standardize solutions across on-prem and cloud database environments.
- Expertise in SQL Server (on-prem and cloud), with familiarity in Microsoft Fabric and Azure Data Factory.
- Proficiency in designing and managing data ingestion pipelines, ETL/ELT processes, metadata management, and automation of data flows across hybrid environments.
- Experience in building, optimizing, and managing data pipelines using Azure Fabric, ADF, and other data integration tools for efficient data movement and transformation. Ability to support BI and analytics teams by providing well-structured data models and optimized datasets for tools such as Power BI and Tableau.
- Cloud database experience across Azure SQL, Fabric, Redis Cache, Cosmos DB, and Snowflake.
- File Transfer – Ability to use FTP tools to transfer files.
- Strong time-management and problem-solving skills, with the ability to work with minimal supervision as a critical thinker and team player.
- Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX; Houston, TX; Auburn Hills, MI.
PREFERRED QUALIFICATIONS
- Prior experience in financial services, auto lending, or other highly regulated industries strongly preferred.
- Master’s degree in a STEM discipline or Business Administration is a plus.
- Experience with Cosmos DB is a plus.
- One or more relevant certifications are preferred.
Data Operations Engineer
W2 contract, min of 6 months
HYBRID out of Atlanta, GA; Dallas, TX; Houston, TX; Auburn Hills, MI
Target W2 $36/hr
Reporting to the Director Enterprise Data Management, the Engineer, Data Operations designs, develops, and operates secure, scalable, and high performing data and infrastructure solutions supporting a nationwide auto finance organization. This role serves as a technical contributor within the infrastructure team, driving data pipeline development, ETL optimization, and warehouse modernization across SQL Server, Azure Data Factory, and Microsoft Fabric, as well as the enterprise servers, storage, and software-defined cloud and network environments that underpin them. The Engineer, Data Operations partners with analytics, application, security, and operations teams to ensure data and infrastructure solutions align with enterprise architecture, regulatory requirements, and business objectives.
Essential Duties And Responsibilities
- Design, Develop, and Implement Data and ETL Solutions & Integrations – Assist in the design, development, and implementation of data solutions and integrations to optimize performance, scalability, and reliability.
- Monitor, Troubleshoot, and Resolve Problems – Implement and support effective monitoring to proactively identify and resolve issues, conducting effective root-cause analysis to address underlying problems and prevent recurrence.
- Provide Support & Optimization – Offer expertise in diagnosing and resolving issues by implementing the necessary corrective actions and/or fixes, ensuring the operational efficiency, reliability, and scalability of data systems and ETL processes.
- Document Technical Processes & Solutions – Maintain documentation for process and system configurations, engineering designs, and troubleshooting procedures to support knowledge sharing and ensure continuity of operations.
- Collaborate on Cross-Functional Projects – Work with team members and other departments to support business and technology initiatives and integrations, drive innovation, and improve workflows.
- Support Initiatives, Timelines, Budgets, and Deliverables – Support initiatives, timelines, budgets, and deliverables as assigned to ensure successful outcomes, managing priorities and resources effectively to meet business objectives.
- Data Analytics & Performance Monitoring – Collect data to track key metrics (KPIs, SLAs, and SLOs) and identify areas of risk and/or improvement using standard methodologies to deliver value to business partners.
- Ensures Business Alignment – Work closely with Product and/or Process Engineering team members to implement technical solutions with business partners that align with business goals using standard methodologies.
- Develop solutions to retrieve and process vendor data feeds, applying ETL processes to ensure efficient ingestion into enterprise staging systems.
- Develop T-SQL code to transform staging data from multiple vendors into a cohesive, business aligned warehouse structure, applying logic to enhance clarity and usability.
- Develop solutions to extract and transform data from the warehouse, applying customer specific business logic to create and deliver tailored datasets for internal and external consumers.
- Monitor, analyze, and optimize long-running T-SQL processes, applying performance tuning techniques to improve efficiency and ensure timely completion.
- Develop and/or contribute to the Enterprise Data Dictionary.
- Additional duties may be added as business needs evolve.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and relevant professional experience.
- Minimum of five years of experience in SQL development and support, with strong SQL Server fundamentals.
- Solid understanding of ETL development with SSIS workflows.
- Experience with Azure SQL setup and configuration, and Azure Data Factory (pipelines, activities, datasets, linked services, data flows, and integration runtimes), and Microsoft Fabric.
- Strong understanding of database systems monitoring and support, software best practices, and development methodologies.
- Experience with FTP tools for file transfer.
- DBA experience across SQL Server, Azure SQL, Fabric, Snowflake, and Redis Cache.
- Problem-Solving & Critical Thinking – Ability to analyze, troubleshoot, and develop solutions for complex issues and challenges, including troubleshooting in a multi-tier environment, supported by strong analytical and diagnostic skills.
- Design & Architecture – Knowledge of designing scalable, efficient, and secure data and ETL solutions.
- Automation – Proficiency in common database technologies (on-prem and cloud) and ETL tools, along with scripting and automation languages/tools, including T-SQL, cloud data factory, and data pipelines.
- Business & System Analysis – Ability to translate business requirements into high-level designs and technical specifications as needed.
- Database Optimization – Ability to analyze query execution plans and optimize database code, perform database maintenance and indexing, and conduct code reviews.
- Documentation & Communication – Ability to document processes, requirements, and troubleshooting steps clearly using industry-standard methodologies and formats, with strong communication skills to collaborate effectively with technical and non-technical stakeholders.
- Collaboration & Cross-Functional Work – Experience working with teams across different disciplines to integrate and optimize solutions.
- Frameworks & Methodologies – Experience utilizing relevant frameworks and methodologies to standardize solutions across on-prem and cloud database environments.
- Expertise in SQL Server (on-prem and cloud), with familiarity in Microsoft Fabric and Azure Data Factory.
- Proficiency in designing and managing data ingestion pipelines, ETL/ELT processes, metadata management, and automation of data flows across hybrid environments.
- Experience in building, optimizing, and managing data pipelines using Azure Fabric, ADF, and other data integration tools for efficient data movement and transformation. Ability to support BI and analytics teams by providing well-structured data models and optimized datasets for tools such as Power BI and Tableau.
- Cloud database experience across Azure SQL, Fabric, Redis Cache, Cosmos DB, and Snowflake.
- File Transfer – Ability to use FTP tools to transfer files.
- Strong time-management and problem-solving skills, with the ability to work with minimal supervision as a critical thinker and team player.
- Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX; Houston, TX; Auburn Hills, MI.
PREFERRED QUALIFICATIONS
- Prior experience in financial services, auto lending, or other highly regulated industries strongly preferred.
- Master’s degree in a STEM discipline or Business Administration is a plus.
- Experience with Cosmos DB is a plus.
- One or more relevant certifications are preferred.
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Find JobsMid Level Operations Engineer Job Market
Who's Hiring
- Amazon14
- Apple4
- Brex3
- VHB2
- Perdue2
Top Industries Hiring
- Technology & Software24
- Electronics & Hardware9
- Consulting & Professional Services7
- Banking & Financial Services6
- Retail5
Mid Level Operations Engineer Jobs: Frequently Asked Questions
How do I get a mid level operations engineer job?
Position yourself around ownership, not just execution. Highlight projects where you drove decisions, diagnosed failures independently, or improved a process with measurable results. Tailor your resume to show you can operate without close supervision. Mid level roles prioritize candidates who demonstrate initiative, cross-functional collaboration, and a clear record of taking something from problem to solution on their own.
Which companies hire mid level operations engineers?
Companies hiring mid level operations engineers right now include Amazon, Apple, and Brex, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad mix of employers, including large enterprises scaling operations infrastructure and growth-stage companies building out their first dedicated engineering teams.
Are there remote mid level operations engineer jobs?
Yes, remote and hybrid options are common at this level. About 30% of mid level operations engineer openings are remote or hybrid as of November 2026, reflecting how much of this work centers on systems, tooling, and coordination that can run effectively without a fixed office presence. Fully on-site roles still exist, particularly in manufacturing, logistics, and regulated environments.
How do I move up to a mid level operations engineer role?
The path from entry level to mid level is built on deepening your specialization and proving you can own work, not just contribute to it. Over your first few years, focus on taking full responsibility for smaller projects, documenting what you learn from incidents and process changes, and developing enough system knowledge to make sound tradeoffs. Measurable impact, whether in reliability, efficiency, or reduced downtime, is what distinguishes mid level candidates from juniors.
Which industries hire the most mid level operations engineers?
Mid Level operations engineer roles concentrate in Technology & Software, Electronics & Hardware, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they depend on reliable infrastructure, complex workflows, and continuous process improvement at a scale that requires experienced engineers who can operate independently and adapt quickly.