Data Engineer II - (Remote)

About Our Client:

The organization operates a global digital sports platform that connects sports fans with licensed merchandise, collectibles, and gaming opportunities. It serves a vast network including sports leagues, teams, athletes, and retail partners, offering products and services that span commerce, collectibles, and betting. The platform supports over 100 million sports fans worldwide and maintains a significant presence through numerous retail locations and partnerships.

About the Opportunity:

The Data Engineer II is responsible for implementing and supporting data ingestion pipelines within the data engineering team, contributing to the reliable delivery and governance of data that powers business decisions. This role focuses on executing well-defined tasks under guidance, ensuring data quality and security, and collaborating with stakeholders to support data-driven operations.

Responsibilities:

• Implement ingestion pipelines and Airflow DAGs based on senior engineers' designs, including coding, testing, and documentation
• Support data security and governance efforts such as PII masking and access controls
• Assist with data delivery work, including reverse ETL integrations
• Extend existing data pipelines and incorporate feedback
• Respond to pipeline failures and follow runbooks, escalating issues with context
• Collaborate with senior engineers on complex data integrity issues
• Write clear pull request descriptions and ask clarifying questions before starting work
• Communicate blockers early and effectively
• Build strong relationships with internal stakeholders to clarify requirements
• Participate in code and system inspections
• Help define and follow data engineering best practices
• Mentor junior data engineers as experience grows

Requirements:

• 1 to 3 years of professional software or data engineering experience
• Proficiency in Python and deep understanding of SQL with complex ETL/ELT transformations
• Ability to write unit tests and work within established codebases
• Familiarity or willingness to learn Airflow or similar orchestration tools
• Understanding of data pipeline concepts including ingestion, idempotency, scheduling, and data quality
• Knowledge of technologies such as Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, or PostgreSQL
• Experience with Git-based version control and PR-based code reviews
• Strong communication skills including asking questions and escalating issues with context
• Growth mindset with openness to feedback and process improvement

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.