Data Engineer 3

Overview

We are seeking an experienced Data Engineer 3 to join our team. The ideal candidate will have extensive hands-on experience in the data engineering space and a strong proficiency in Python. You will be responsible for designing and implementing data pipelines, curating and modeling data, and providing valuable insights to our teams. If you’re a passionate problem solver with a deep understanding of data, we want to hear from you!

About our Client:

They are a global leader in athletic footwear, apparel, and equipment, driven by a vision to bring inspiration and innovation to every athlete in the world. Their diverse global team is united by a passion for sports, performance, and a desire to create groundbreaking products that empower individuals and communities to reach their full potential. As a Data Engineer, you’ll play a key role in shaping the future of data-driven solutions that power our performance, design, and customer experience efforts.

Responsibilities:

• Develop and implement efficient and reliable data pipelines using Python frameworks.

• Collaborate with cross-functional teams including engineers and data scientists to deliver the best solutions.

• Design and implement data solutions, ensuring data accuracy and efficiency across different types of data.

• Work on data curation, modeling, and ensuring data pipelines are scalable and optimized.

• Diagnose and troubleshoot issues in existing data pipelines, and develop solutions to improve and enhance them.

• Actively learn and adapt to new technologies and methodologies in the ever-evolving data engineering field.

• Provide intuitive analytics and insights to partner teams.

Required Qualifications:

• Bachelor’s degree in Computer Science or a related field, or equivalent work experience.

• 8+ years of overall IT experience.

• 6+ years of proficiency with Python for data processing, including expertise in libraries such as Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, SimpleSalesforce, and Json.

• 4+ years of hands-on experience with Data Warehouse technologies, specifically Databricks and Snowflake.

• 4+ years of strong experience in SQL, including performance tuning, writing stored procedures, triggers, and schema design. Experience with both RDBMS (MSSQL/MySQL) and NoSQL databases (DynamoDB/MongoDB/Redis).

• 4+ years of experience designing, developing, and managing REST APIs.

• 2+ years of strong experience with AWS technologies including AWS Data Exchange, Athena, CloudFormation, Lambda, S3, IAM, STS, EC2, and EMR.

• 2+ years working with ETL tools such as Apache Airflow, AWS Glue, Azure Data Factory, Talend, or Alteryx.

• 1+ year of experience with Hadoop and Hive.

• Strong communication skills, both verbal and written.

• Familiarity with DevOps practices and experience with Git for version control and agile planning.

Preferred Skills:

• Experience with Cloud Platforms (e.g., AWS, Azure).

• Familiarity with Big Data tools and technologies.

• Ability to work independently and in a collaborative team environment.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment — one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

#LI-LORENSAQUENTJOBS