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Creighton University · 2 months ago

Senior Data Engineer (Developer)

Omaha, NE

Full-time

Onsite

Senior Level

5+ years exp

Creighton University is seeking a Senior Data Engineer who will be responsible for developing and managing data processes from various sources. This role involves data modeling, pipeline construction, and ensuring data quality while working collaboratively in an agile environment.

Higher Education

H1B Sponsor Likely

Responsibilities

Create and maintain data pipelines, job, etc. for extracting, transforming, and loading data from diverse sources (e.g., databases, APIs, flat files)

Extract, Transform, Load (ETL): ETL/IPAAS processes are the backbone of data pipelines. Extract data from various sources (e.g., APIs, databases), transform it (cleaning, aggregating, enriching), and load it into storage systems (data warehouses, databases). Ensure data flows smoothly, adhering to best practices and industry standards

Monitoring: Evaluation of code and performance to see if there are opportunities for improvement

Automation: Writing code (Python, SQL, or other languages) to automate data management tasks ensures consistent and reliable data flow. Schedule jobs, handle error handling, and monitor pipeline performance

Data Quality: Implementing data quality checks ensures that the data is accurate, complete, and consistent. Define rules (e.g., missing values, outliers) and monitor adherence

Deliver support/troubleshooting for operational data integration issues. Debug and provide solutions for performance items related to data flows

Test conduct unit, integration, and end-to-end tests for data quality. Data Engineers prepare test data, set up test environments, and validate all components of ETL (Extract, Transform, Load) pipelines and data flows to maintain system integrity

Document Create or maintain comprehensive documentation is required for data processes, pipelines, architecture, and metadata. Within the prevailing standard that team members and stakeholders can understand the structure and logic of data systems and supports scalability and troubleshooting

Mapping conduct mapping of data sources to target systems. Describe how data fields correspond between systems, supporting migration, integration, and transformation efforts

Business Requirements work closely with stakeholders to translate business needs into technical requirements. This includes understanding domain-specific needs, designing corresponding data solutions, and ensuring pipelines and storage meet objectives

Modeling Collaborate with data architects and stakeholders to create/build robust data schemas, and structures with business requirements

As business needs require, actively being a resource for team members to answer questions and provide solutions for data integration outside their primary responsibility

Demonstrate active membership in internal/external organizations like the Association of Jesuit Colleges and Universities (AJCU)

Provide effective communication on matters relating to the job description

Be an active contributor to onboarding and ongoing training of team members

Remains current in the field of expertise to ensure assigned applications remain at the industry forefront

Qualification

ETL/IPAAS toolsSQLPythonData modelingCloud platformsData quality assuranceData integrationAnalytical skillsProblem-solving skillsInterpersonal skillsCommunication skills

Required

Bachelor's degree, required: A degree in Computer Science, Data Science or a related field

5+ years of combined experience of demonstrated enterprise data engineering activities

Strong experience with ETL/IPAAS tools such as Mulesoft, Talend, Informatica, Boomi, Workato, etc

Familiarity with DBMS; ideally Oracle, MS SQL Server

Proficiency in SQL: Essential for querying databases and manipulating data

Experience with Python, SSIS, Talend, or other scripting for ETL, and data analysis

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for scalable data solutions

Demonstrated ability to develop ETL/ELT jobs, database schemas, tables, indexes, views, queries, and understand the implementation tradeoffs of various methodologies

Strong analytical and problem-solving skills: optimizing queries, handling large datasets, or troubleshooting pipeline issues

Familiarity with continuous integration and continuous deployment

Demonstrated proficiency at utilizing APIs and flat file loads to move data from source to target

Demonstrated success at data quality assurance, testing and Data Tuning expertise

Demonstrated ability to work independently as well as a collaborative team member with other departments

Thrive in a fast-paced goal-oriented environment

History of creative problem-solving while adhering to established standards

Coachable and open to feedback

Outstanding interpersonal and communication skills, along with the ability to work effectively within a diverse community

Company

Creighton University

At Creighton, our Jesuit mission shapes our vision.

Founded in 1878

Omaha, Nebraska, US

5001-10000 employees

http://creighton.edu

H1B Sponsorship

Creighton University has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (21)

2024 (26)

2023 (10)

2022 (17)

2021 (21)

2020 (15)