Data Engineer

TieTalent; Oregon (IL); Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a skilled Data Engineer to join their talent community for future opportunities. This role involves developing and maintaining complex data pipelines, ensuring data quality, and collaborating with various teams to drive data-driven decisions. Ideal candidates will have strong expertise in AWS, SQL, and Python, along with a solid understanding of data warehousing and ETL processes. If you are passionate about data engineering and want to contribute to impactful projects, this is a fantastic opportunity to showcase your skills and be part of a dynamic environment.

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong experience with AWS, SQL, Spark, and associated technology stacks.

Responsibilities

• Develop and maintain data integration and processing pipelines.
• Design, build, test, and maintain data warehouse architectures.
• Collaborate with cross-functional teams for data-driven decisions.

Skills

AWS

SQL

Python

Spark

Data Warehouse Design

ETL Processes

Analytical Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Tools

Tableau

Looker

Power BI

Talend

Informatica

Apache NiFi

MongoDB

Cassandra

DynamoDB

Job description

Job Title: Data Engineer

Location: Remote, US

If you are a Data Engineer at any level and have aspirations to join Nike, then apply to this expression of interest. You will be added to Nike's Contract Talent Community pipeline for future opportunities.

Below is an example of what you possibly could do for Nike:

WHO WE ARE LOOKING FOR

The ideal candidate will have a strong background in AWS, SQL, Python, and related technologies and tools. The candidate must be able to demonstrate proficiency in designing, building, testing, and maintaining complex data pipelines.

WHAT YOU WILL WORK ON

1. Develop and maintain data integration and processing pipelines to support business intelligence reporting and analytics.
2. Design, build, test, and maintain data warehouse architectures in the cloud (e.g., AWS) and on-premise.
3. Develop and maintain data processing and ETL jobs using Spark, Hive, and Python.
4. Develop and maintain database schemas, views, functions, and procedures in SQL and NoSQL databases.
5. Perform testing and debugging activities to ensure the accuracy and quality of data.
6. Monitor data and pipeline health through meaningful metrics and data quality checks.
7. Document and maintain technical specifications, data dictionaries, and metadata.
8. Collaborate with cross-functional teams to support data-driven decision making.

QUALIFICATIONS

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 5 years of experience in data engineering or related field.
• Strong experience with AWS, SQL, Spark, and associated technology stacks.
• Strong experience in data warehouse design and database management.
• Proficiency in Python and/or other scripting languages.
• Experience with data visualization and reporting tools like Tableau, Looker, or Power BI.
• Experience with ETL tools such as Talend, Informatica, or Apache NiFi.
• Experience with NoSQL databases like MongoDB, Cassandra, or DynamoDB.
• Good understanding of software engineering principles and best practices.
• Strong analytical and problem-solving skills.
• Good communication and teamwork skills.

Published on 03 Apr 2025, 4:51 PM