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, Education, and Banking & Financial Services, with LTM Limited, Amazon Web Services, and NiCE hiring at this level now.
Find JobsOverview
Showing 5 of 139+ Mid Level Data Specialist jobs
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.
See All 139+ Mid Level Data Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Data Specialist Job Market
Who's Hiring
- LTM Limited9
- Amazon Web Services7
- NiCE2
- WorldQuant2
- LTIMindtree2
Top Industries Hiring
- Technology & Software23
- Education10
- Banking & Financial Services8
- Healthcare & Medical Services8
- Manufacturing7
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 LTM Limited, Amazon Web Services, and NiCE, based on current listings on Migrate Mate as of July 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 24% of mid level data specialist openings are remote or hybrid as of July 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, Education, and Banking & Financial Services, based on current listings on Migrate Mate as of July 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.