Data Engineer I

Job Description

Job Description : POSITION SUMMARY :

Data Engineers provide data services to stakeholders within portfolios and throughout the enterprise by building and managing data resources to support reporting, business intelligence, analytics, data science projects and operational applications. They engage with data-centric product managers and developers, technology teams, analysts, and business partners to understand capability requirements and define and construct data structures and solutions based on priorities.

The Data Engineer I performs the design, development, and operational tasks required to provide accurate, timely, high quality data critical to feed data products (i.e., reports, analyses and data science models) and support downstream applications. The Data Engineer I will craft robust, practical data solutions using enterprise data resources.

This role is within the Information and Digital Services organization at Les Schwab headquarters in Bend, OR.

Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship.

PRIMARY RESPONSIBILITIES :

50% - Operational Support

Build and deliver ad hoc data sets to support business analysis, data analysis, analytics, proofs-of-concept, and other use cases

Create SQL scripts and queries in support of reporting and analytics applications

Use appropriate technologies and methods to automate data preparation and data movement with Les Schwab standard data stores, tools, and platforms

Monitor and troubleshoot manual and automated data preparation and data movement processes

Solve technical problems, develop workarounds and resolve operational issues

Create and maintain operational procedures and related documentation

20% - Data Structure and Solution Design

Collaborate with business systems analysts, data analysts, business stakeholders, and analytics practitioners to understand data product and downstream system data requirements

Collaborate with data stewards and data source managers to understand data definitions and business rules relevant to data structure design

Perform detailed design of data structures from inception through production support

Create data models for relational and dimensional database schemas for a range of use cases from targeted reporting solutions to support of downstream applications

Conduct information modeling, including conceptual models, relational database designs and message models

Design and implement data manipulation, preparation, and data movement processes for a variety of scenarios from simple file-based export / import to enterprise-grade ETL workflows connecting multiple structured and unstructured endpoints

20% - Data Structure and Solution Development

Catalog existing data sources and enable access to resident and external data sources

Assist with programming, modelling and data integration, supporting task automation.

Create physical database tables, views, and flat files for analytics research projects, reporting, analytics applications, and for publication to downstream subscribers

Solve technical problems in developing data models, data structures and ETL solutions

Create and maintain data dictionaries, data model diagrams, data mapping documents, data security and quality requirements and related data platform documentation

Work in an agile team environment to deliver timely analytics solutions and insights within a dynamic learning organization

10% - Data Platform Quality and Governance

Follow a quality assurance framework to ensure the delivery of high quality data and data structure analyses to stakeholders

Collaborate with Digital Services colleagues to use best practices within a culture of data management excellence

Implement development best practices, version control and deployment strategies to ensure product quality, agility and recoverability

Implement and test data access roles and permissions to ensure "least privileged" access to enterprise data and reduce the enterprise risk of data exposure

Maintain data work flows and query performance

MINIMUM REQUIREMENTS :

Educational / Experience Requirements :

Bachelor's degree (BS or BA) in STEM related discipline with major in Computer Science / Information Management / Database Development and Analysis or equivalent disciplines or equivalent experience with appropriate time-in-role

2+ years of experience with data warehouse technical architectures, ETL / ELT, reporting / analytic tools and scripting

Experience with AWS services including S3, Data-pipeline and cloud based data warehouses is a plus

Experience with data visualization tools such as Tableau or Birst is a plus

Required Technical Skills / Knowledge :

Data modelling skills

Proficient in the composition of Advanced SQL (analytical functions)

Experience with performance tuning.

Experience with Data Analysis techniques for testing and troubleshooting

Foundational knowledge of ETL processes

Experience producing written documentation such as data dictionaries, data catalogues, and integration data maps

Foundational knowledge of data quality, reporting, and data analysis techniques.

Experience with a programming language such as Python, R, JavaScript, Java C#, Go, or similar. Advanced procedure or function development in T-SQL, Oracle PL / SQL or equivalent also acceptable

Experience working with flat file data formats including delimited files, XML, and JSON

Experience using solution delivery collaboration software such as Service Now, Jira, TFS, or similar

Physical Requirements : Primarily desk position; regularly required to sit, occasionally required to stand and walk. Requires frequent and repetitive use of hands and fingers to operate a computer, mouse, keyboard, and office related equipment and the ability to reach with hands and arms. Position requires lifting no more than 10 pounds on a regular basis. Specific vision abilities required by this job include close visual acuity and the ability to adjust focus. Requires the ability to communicate verbally and exchange information over the phone and in person.

Work Environment : Office, non-manual work; the worker is not substantially exposed to adverse environmental conditions. Working on-call is required for this position, including but not limited to : evenings, weekends, and holidays.

BENEFITS :

Annualprofit-sharingbonus

Medical, dental, vision for employees

Company-funded retirement plan- no cost to employee

Paid holidays

Paid time off

Flex remote arrangements (work 1-2 days / week from home)

Tuition Assistance

Employee discount

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions / primary responsibilities. This job description is not all inclusive and is subject to change. Additional duties and tasks may be assigned, as necessary. Employment remains "AT WILL" at all times.