Data Engineer

Excelsior University
Albany, NY, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$100,000.0 - $110,000.0
Working hours
Regular working hours
Job source

Tech stack

Systems Engineering Business Intelligence Development Data Governance Data Integrity Data Transformation Data Security Data Warehousing Relational Databases Python (Programming Language) Machine Learning Power BI DataOps
+8 more
PL-SQL Transact-SQL Qliksense Data Processing Information Technology Qlikview Tools for Reporting Data Pipelines

Job description

The Data Engineer is an integral part of the Information Technology Services department (ITS), reporting to the Director of Business Intelligence (BI). The role will be involved in efforts to ensure the accuracy, integrity, and security of data within the BI system that supports data processing and analysis needs.

Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the role. The role involves designing, building, and maintaining test pipelines, data transformation or systems performance logs, and metadata or data catalogs. The Data Engineer is responsible for ensuring accurate and complete data collection, per business requirements, KPIs, and SLAs or SLOs. Gaining a thorough understanding of the data maintained in the enterprise data warehouse is mandatory. Advocating for data quality across teams is essential.

This is a full-time role with at least two required days at the Excelsior home office in Albany, NY. The remaining days can be worked from home. The Data Engineer will play a significant role in shaping the data operations strategy and infrastructure of the University.

Duties and Responsibilities:

  • Work with data analysts, data governance workgroups, and other stakeholders to understand their needs and translate them into technical requirements.
  • Maintain a strong understanding of business workflows, processes, and events, and relate this understanding to how these are captured in transactional systems.
  • Develop and implement strategies to ensure data is clean and reliable.
  • Design and execute tests to validate data transformations, migrations, and storage within the data warehouse environment.
  • Identify any errors or inconsistencies in the enterprise data warehouse.
  • Write technical documentation and term definitions in the Data Governance Platform.
  • Implement data governance and ensure data integrity across all BI initiatives.

Requirements

Do you have experience in Technical writing within technology?, Do you have a Bachelor’s degree?, Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor’s degree in computer science, information technology, systems engineering, database management, or related field
  • 8 years of experience writing and troubleshooting complex SQL queries (PL/SQL and TSQL) and Python or R data frame functions.
  • Strong understanding of relational database systems and data warehousing concepts.
  • Strong analytical, research, and critical thinking.
  • Experience in creating data quality requirements analysis documentation.

Strongly Preferred Qualifications:

  • Experience with reporting tools (Power BI, QlikView, or QlikSense).
  • Ability to work with a diverse group of stakeholders in a collaborative manner and communicate effectively.
  • Excellent organizational skills

Benefits & conditions

The hiring salary range for this position is $100,000.00 - $110,000.00. The hiring salary range above represents the University’s good faith estimate at the time of posting.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

Videos

See all

Related articles

See all