Mid Level Data Specialist Jobs
Mid level data specialist jobs go to professionals ready to own data pipelines and reporting workflows end to end, drive analytical decisions with limited oversight, and mentor junior teammates through complex problems. Openings are split across on-site, hybrid, and remote settings in Technology & Software, Distribution & Wholesale, and Investment & Asset Management, with Amazon Web Services, WorldQuant, and Databricks hiring at this level now.
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INTRODUCTION
Allied Reliability is seeking an Asset Hierarchy Validation & Attribute Data Specialist (Long-Term Project Assignment) to support a Lake Norden, SD facility Reliability Improvement Journey (RIJ) by validating existing equipment hierarchy within Maximo CMMS and collecting detailed asset attribute data down to the replaceable component level. This role is critical to enabling:
- Equipment Maintenance Plan (EMP) development
- Accurate spare parts identification
- Improved maintenance execution efficiency
- Reduced downtime during reactive maintenance events
- Long-term asset data governance and sustainment
The individual will perform shop floor equipment walkdowns utilizing Allied Reliability’s digital walkdown tools to capture equipment nameplate data, photographs, asset attributes, component relationships, and maintainability information. The role will work under the guidance of an Allied Reliability Senior Supervisor during onboarding and transition into a semi-independent execution role with periodic oversight and auditing.
PRIMARY RESPONSIBILITIES
Asset Hierarchy Validation:
- Validate existing Maximo asset hierarchy against physical field conditions
- Confirm assets are identified to the appropriate maintainable and replaceable component level
- Identify missing, duplicate, incorrectly assigned, or improperly structured assets
- Validate parent/child equipment relationships
- Support hierarchy standardization efforts
Attribute Data Collection:
- Collect and validate critical equipment attribute data including:
- Motor HP
- Voltage
- Amperage
- RPM
- Frame size
- Manufacturer
- Model number
- Serial number
- Pump capacity/input/output data
- Gearbox ratios
- Bearing information
- Lubrication data
- Critical spare information
- Additional maintainability-related data as required
Digital Walkdown Execution:
- Utilize Allied Reliability walkdown tools in the field
- Capture and organize equipment photographs and nameplate data
- Use AI-assisted identification tools where nameplate information is damaged or unavailable
- Perform manual verification when automated identification is insufficient
- Maintain organized and traceable field records
Data Governance & Quality:
- Transfer collected data into SmartCBM staging environment
- Assist with formatting and standardization of asset data
- Support validation prior to loading into Maximo test and production environments
- Maintain data integrity and naming consistency
- Identify gaps impacting EMP development and maintenance execution
Collaboration:
- Work closely with Maintenance, Reliability, Operations, and Allied Reliability personnel
- Participate in periodic audits and review sessions with Allied supervisory personnel
- Support long-term sustainment of hierarchy and asset data governance practices
REQUIRED QUALIFICATIONS
Technical Background:
- Minimum 3–5 years of industrial maintenance, reliability, CMMS, or asset management experience
- Experience within manufacturing, food & beverage, industrial processing, or heavy industry environments preferred
- Working knowledge of rotating equipment and industrial assets including:
- Motors
- Pumps
- Conveyors
- Gearboxes
- Valves
- Process equipment
- Instrumentation
CMMS Experience:
- Experience working within a CMMS/EAM platform required
- IBM Maximo experience strongly preferred
- Understanding of:
- Asset hierarchy structures
- Equipment parent/child relationships
- Functional locations
- Asset records
- Equipment classifications
- Spare parts relationships
Data & Documentation Skills:
- Strong attention to detail
- Ability to maintain structured and consistent data
- Comfortable working with spreadsheets, digital tools, and mobile applications
- Ability to identify inconsistencies and missing information
Field Execution Capability:
- Comfortable working in active manufacturing environments
- Ability to perform extensive shop floor walkdowns
- Ability to read nameplates, drawings, and basic technical documentation
- Ability to work independently after onboarding
PREFERRED QUALIFICATIONS
- Experience supporting Reliability Improvement initiatives
- Exposure to Equipment Maintenance Plans (EMP), PM optimization, or RCM methodologies
- Experience with SmartCBM, APM, or digital asset management tools
- Understanding of ISO 14224 asset taxonomy concepts
- Familiarity with dairy, food processing, or continuous process manufacturing environments
- Experience validating or building hierarchy to maintainable component level
IDEAL CANDIDATE PROFILE
- Mechanically inclined
- Detail-oriented
- Organized
- Comfortable on the shop floor
- Technically curious
- Capable of balancing field execution with data accuracy
- Able to recognize the difference between operational equipment grouping and maintainable component structure
This role is best suited for someone with practical maintenance or reliability experience rather than a purely administrative data-entry background.
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Mid Level Data Specialist Jobs: Frequently Asked Questions
How do I get a mid level data specialist job?
Position yourself around ownership, not just contribution. Highlight projects where you drove the analytical approach, managed data quality from ingestion to reporting, or translated ambiguous business questions into structured datasets. Quantify your impact wherever possible, tailor your resume to show depth in the tools and domains the role uses, and be ready to walk through your technical decision-making in interviews.
Which companies hire mid level data specialists?
Companies hiring mid level data specialists right now include Amazon Web Services, WorldQuant, and Databricks, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers large enterprises with dedicated data teams and mid-size organizations that rely on versatile specialists to manage reporting, data integrity, and cross-functional analytics independently.
Are there remote mid level data specialist jobs?
Yes, remote and hybrid options are common at this level. About 23% of mid level data specialist openings are remote or hybrid as of August 2026, reflecting how much of the work centers on tools and platforms accessible from anywhere. On-site roles tend to appear in industries where data work is tightly integrated with physical operations or compliance-heavy environments.
How do I move up to a mid level data specialist role?
The path from entry level to mid level is built on deepening your technical foundation while taking on progressively broader ownership. Focus on mastering the full data lifecycle in your current role, from sourcing and cleaning to analysis and stakeholder delivery. Seek out projects where you lead a piece of the work independently, document your contributions clearly, and build fluency in SQL, Python, or BI tools relevant to your field.
Which industries hire the most mid level data specialists?
Mid Level data specialist roles concentrate in Technology & Software, Distribution & Wholesale, and Investment & Asset Management, based on current listings on Migrate Mate as of August 2026. These sectors generate large, complex datasets that require experienced specialists who can work independently to maintain quality, surface insights, and support decisions across multiple business functions.