Carnegie Mellon University is a private, global research university that stands among the world’s most renowned educational institutions. With groundbreaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

We seek a Senior Data Engineer to join our dynamic data team. This role will be integral to supporting the university’s data initiatives, with the mission of eliminating data silos and developing services that enable the strategic use of institutional data for informed decision-making and growth. We focus on dataset curation, data pipeline creation & optimization, system integrations, supporting advanced analytics, and championing data governance and quality. In this role, you will work closely with other technology teams and campus partners to execute and deliver data-related products, fostering an environment where university-wide cross-functional teams thrive through proactive engagement and collaboration.

The ideal candidate will have substantial expertise in data engineering and analysis. The Senior Data Engineer will support and enhance data products, collaborating with business partners, cross-functional teams, and departments such as Finance, Human Resources, the Office of the VP of Research, and Enrollment Management to understand technical requirements and workflows. They will develop and optimize data pipelines, implement and manage integrations, and support advanced analytics initiatives. Success in this position will hinge on the candidate's ability to collaborate effectively and implement the technical requirements that further the growth of our data community.

Your core responsibilities will include:

Design, develop, and maintain scalable data pipelines and systems for data integration, processing, and storage.
Implement and manage data models to support analytics and reporting needs.
Develop and optimize ELT/ETL processes to ensure data quality and integrity.
Collaborate with AI engineers to integrate machine learning models into data pipelines.
Perform data analysis to support decision-making and strategic initiatives.
Integrate data sources into platforms such as Snowflake, Tableau, or Power BI.
Monitor and administer data engineering infrastructure.
Identify and mitigate data security and privacy risks.
Participate in the evaluation of new products and industry standards.
Work with noisy, dirty, and unstructured data to cleanse, scrape, and convert it into structured data.
Design and implement scalable, performant data pipelines, data services, and data products.
Build and architect solutions from a framework perspective to ensure reusability rather than building siloed solutions.
Figure out problems with limited direction, using intuition to anticipate issues and opportunities.
Understand, use, and create REST-oriented APIs.
Other duties as assigned.

Flexibility, excellence, and passion are vital qualities within Computing Services. Inclusion, collaboration, and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You must demonstrate:

Expertise in data engineering, including data pipeline development and optimization, ETL/ELT processes, and data integration.
Experience in data modeling and database design.
Proficiency in SQL and experience with RDBMS systems such as Snowflake, Microsoft SQL Server, Oracle, or PostgreSQL.
Knowledge of data visualization tools such as Power BI or Tableau.
Collaborate with AI engineers to integrate machine learning models into data pipelines.
Strong data analysis skills and experience with statistical analysis tools.
Proficiency in programming languages such as Python, SQL, etc.
Experience with MPP databases like Redshift or Snowflake.
Understanding of structured and unstructured data.
Experience with DBT is a plus.
Knowledge of building and managing data warehouses
Experience with cloud services (AWS, Azure, Google Cloud)

Qualifications:

Bachelor’s Degree in Computer Science is preferred.
3-5 Years of Operating System Administration Experience
3-5 Years of Systems/Software Engineering Experience
3-5 Years of Systems Programming Experience
Strong Teamwork Skills
Strong Oral and Written Communication Skills
Strong Organization and Planning Skills

Physical and Mental Requirements:

Ability to maintain composure when dealing with difficult situations and/or individuals.
Ability to meet deadlines, work under pressure and with frequent interruptions.
Ability to pay close attention to detail; keep and maintain accurate and detailed reports and records.
Ability to prioritize work and handle multiple tasks simultaneously.
Ability to understand and follow directions.
Ability to work well with others and/or as part of a team.
Visual acuity to perform activities such as extended use of a computer monitor, extensive reading, transcribing, analyzing data and figures, visual inspection involving small defects, small parts and/or operation of machines, using measurement devices, and/or assembly of parts at distances close to the eye.

Decision Making:

Decisions may affect a work unit or department. Job may contribute to business and operational decisions.

Working Conditions:

Required to work in a normal office environment.
Required to work normal business hours; evening and weekend work may occasionally be required.

Accountability:

Accountable for operational results of a work unit or department.
Accountable for the successful completion of individual goals and priorities.

Direction:

Receives little instruction on day-to-day work and receives general instructions on new assignments.

Supervision:

Not responsible for supervising others.

Requirements:

Successful background check

Are you interested in this exciting opportunity?! Apply today!

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible

employees enjoy a wide array of benefits including

comprehensive medical, prescription, dental, and vision insurance

as well as a generous

retirement savings program

with employer contributions. Unlock your potential with

tuition benefits

, take well-deserved breaks with ample

paid time off

and observed

holidays

, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our

Family Concierge Team

to help navigate childcare needs,

fitness center access

, and much more!

For a comprehensive overview of the benefits available, explore our

Benefits page

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

Please visit “
Why Carnegie Mellon
” to learn more about becoming part of an institution inspiring innovations that change the world.

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

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Sr. Data Engineer - Computing Services

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