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Sr. Data Engineer

SHI International Corporation -
Remote

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Job Details

Full-time
$150,000 - $190,000 a year

Benefits

Health insurance
Dental insurance
401(k)
Vision insurance

Qualifications

Data model design
Commercial use (data warehousing systems)
Software engineering
Data Integration (Data management)
Data modeling projects
Research
Schema design
Enterprise software systems development
Programming languages

Full Job Description

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:

Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.

Job Summary

SHI One is an exciting team within the Advanced Solutions Group of SHI that is building new digital experiences for our internal users, customers and partners.

The Senior Data Engineer will be responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows. As a Sr. Software Engineer - Data, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all data sources concerning business operations and be responsible for outlining designs to integrate, centralize, and maintain the data. You will help to establish a new data engineering practice and be a technical leader within the Product organization.

Role Description

Help to drive our organizational data strateg y , including data model designs, database development standards, implementation and management of data warehouses and data analytics systems

Share expertise by collaborating and coaching team members through code and design reviews to ensure code integration into system s is up to team standards

Set a positive example for the team by consistently shipping high quality solutions and maintaining a high standard of technical excellence

Coordinate and collaborate with development teams, stakeholders, and customers for smooth functioning of data systems

Extend and support a data engineering environment with a focus on developer experience t hat facilitates maximum efficiency, testing, and integration

Make recommendations for continuous improvement of our existing data and ETL processes

Participate in optimizing our end-to-end data architecture, from selection of technology, design, development, security, and testing of applications

Lead in the creation and maintenance of technical documentation, architecture diagrams and visualizations for development te a m s and internal stakeholders

Review best practices around data architecture with internal team members

Key Qualifications

Bachelor's degree or relevant work experience

Minimum 10 years' experience developing data applications, relational databases, and ETL platforms

Previous Experience building highly available and testable ETL systems that support critical business operations

Expert knowledge of data modeling, database design, and data warehousing

Expert knowledge of SQL scripting

Demonstrates excellent spoken and written communication as well as receptive listening skills

Ability to present ideas in a clear, concise fashion to technical and non-technical audiences

Ability to shift priorities, demands and timelines through analytical and problem-solving capabilities

Strong ability to work independently or in a team-oriented, collaborative environment

Ability to take initiative and prioritize tasks

Excellent time-management skills

Strong problem prevention, and problem-solving skills

Ability to effectively prioritize and execute tasks

Preferred Skills

Computer science education or equivalent experience

Hands-on experience with Databricks

Hands-on experience with PowerBI report development

Hands-on experience and knowledge of the Python programming language

Experience processing and reporting against large amounts of financial data in a scalable fashion

Public cloud expertise and/or certifications - Azure, AWS, GCP

Hands-on experience with DevOps methodologies and concepts including CI/CD, IaC and automated testing

The estimated annual pay range for this position is $150,000 - $190,000 which includes a base salary. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

Apply Now

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