Mid Level Data Management Specialist Jobs
Mid level data management specialist jobs go to professionals ready to own data pipelines and governance initiatives end to end, mentor junior analysts, and drive data quality decisions with limited oversight. Roles are concentrated across Education, Banking & Financial Services, and Fintech, with 50% offering remote or hybrid arrangements, and employers like Vertiv, Addepar, and Citizens hiring at this level now.
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Princeton University Library (PUL) seeks a collaborative and service-oriented Research Data Management Specialist to support the Princeton research community in managing, curating, and sharing research data across the research lifecycle. Reporting to the Head of the Princeton Research Data Service (PRDS), this position is part of the Data, Research, and Teaching Services division and plays a key role in advancing open research and data stewardship at Princeton.
The Research Data Management Specialist works closely with PRDS colleagues and campus partners to provide expertise in research data management (RDM), metadata practices, and data curation. The role includes supporting TigerData infrastructure and users, delivering instruction and consultations, and developing services and programming that promote effective and responsible data management. The position engages with faculty, students, and research staff across disciplines and contributes to institutional and community efforts to improve data practices and accessibility.
Core responsibilities include providing research consultations, instruction, and outreach related to research data management and open data; developing and delivering workshops and educational programming; serving as a liaison; and engaging with campus and external communities.
PUL is one of the world’s leading research libraries, with over 300 staff and several specialized branches, supporting a diverse community of 5,500 undergraduates, 3,100 graduate students, 1,200 faculty members, and many visiting scholars.
- A minimum of 5 years combined of library, information technology, informatics, and/or research experience
- Experience with developing and conducting training, teaching, and/or workshop presentations
- Strong technical skills with a high degree of comfort and willingness to learn new technologies and develop skills in others
- Experience with and knowledge of methods and best practices for research data management and/or data and code curation and archiving
- Experience working with research data infrastructure (eg., data repositories, high-performance computing, data storage systems) and large and/or complex data sets
- Experience creating and/or reviewing data management plans
- Must be self-motivated, proactive, and willing to take on new challenges and solve problems with minimal supervision
- Excellent organizational skills, interpersonal and collaboration skills, and a collegial, team-oriented approach
- Excellent communication skills
The work location for this position is in-person on campus at Princeton University.
Review begins: July 6, 2026
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
Princeton University Library (PUL) seeks a collaborative and service-oriented Research Data Management Specialist to support the Princeton research community in managing, curating, and sharing research data across the research lifecycle. Reporting to the Head of the Princeton Research Data Service (PRDS), this position is part of the Data, Research, and Teaching Services division and plays a key role in advancing open research and data stewardship at Princeton.
The Research Data Management Specialist works closely with PRDS colleagues and campus partners to provide expertise in research data management (RDM), metadata practices, and data curation. The role includes supporting TigerData infrastructure and users, delivering instruction and consultations, and developing services and programming that promote effective and responsible data management. The position engages with faculty, students, and research staff across disciplines and contributes to institutional and community efforts to improve data practices and accessibility.
Core responsibilities include providing research consultations, instruction, and outreach related to research data management and open data; developing and delivering workshops and educational programming; serving as a liaison; and engaging with campus and external communities.
PUL is one of the world’s leading research libraries, with over 300 staff and several specialized branches, supporting a diverse community of 5,500 undergraduates, 3,100 graduate students, 1,200 faculty members, and many visiting scholars.
- A minimum of 5 years combined of library, information technology, informatics, and/or research experience
- Experience with developing and conducting training, teaching, and/or workshop presentations
- Strong technical skills with a high degree of comfort and willingness to learn new technologies and develop skills in others
- Experience with and knowledge of methods and best practices for research data management and/or data and code curation and archiving
- Experience working with research data infrastructure (eg., data repositories, high-performance computing, data storage systems) and large and/or complex data sets
- Experience creating and/or reviewing data management plans
- Must be self-motivated, proactive, and willing to take on new challenges and solve problems with minimal supervision
- Excellent organizational skills, interpersonal and collaboration skills, and a collegial, team-oriented approach
- Excellent communication skills
The work location for this position is in-person on campus at Princeton University.
Review begins: July 6, 2026
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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Find JobsMid Level Data Management Specialist Job Market
Who's Hiring
- Vertiv1
- Addepar1
- Citizens1
- Honeywell1
- JPMorganChase1
Top Industries Hiring
- Education2
- Banking & Financial Services2
- Fintech1
- Chemicals & Materials1
- Technology & Software1
Mid Level Data Management Specialist Jobs: Frequently Asked Questions
How do I get a mid level data management specialist job?
Lead with ownership: hiring managers want to see that you have managed data assets, governed schemas, or delivered data quality improvements independently, not just supported someone else's work. Highlight specific systems you have administered, business problems you have solved with clean data, and any cross-functional collaboration you have driven. Concrete outcomes, such as reduced error rates or faster reporting cycles, carry more weight than a list of tools.
Which companies hire mid level data management specialists?
Companies hiring mid level data management specialists right now include Vertiv, Addepar, and Citizens, based on current listings on Migrate Mate as of July 2026. At this level, hiring tends to come from organizations mature enough to have dedicated data teams but still building out their governance and quality capabilities.
Are there remote mid level data management specialist jobs?
Yes, remote work is available at this experience level. About 50% of mid level data management specialist openings are remote or hybrid as of July 2026, reflecting how broadly data management work can be done without being on site. Fully remote roles often favor candidates who can demonstrate self-directed project ownership and clear async communication.
How do I move up to a mid level data management specialist role?
The path from entry level to mid level is built on demonstrated ownership rather than time served. Focus on taking full responsibility for a data domain, a pipeline, or a governance process rather than executing tasks handed to you. Building proficiency in data modeling, metadata management, and at least one enterprise data platform deepens your specialization. Measurable impact, such as improving data reliability for a business team, signals readiness for the next level.
Which industries hire the most mid level data management specialists?
Mid Level data management specialist roles concentrate in Education, Banking & Financial Services, and Fintech, based on current listings on Migrate Mate as of July 2026. These sectors tend to generate large, complex, and compliance-sensitive data environments that require experienced specialists to maintain quality, lineage, and accessibility across systems.