Stellenbeschreibung:

This position is posted by Jobgether on behalf of Mediavine. We are currently looking for a Data Engineer II in United States.

This role offers the opportunity to join a high-performing data and analytics team responsible for building and maintaining scalable, reliable, and secure data infrastructure. As a Data Engineer II, you will design and implement data pipelines, ensure data quality, and enable analytics and business teams to make data-driven decisions. You will work closely with engineers, analysts, and product teams to create solutions that handle large-scale datasets while contributing to tooling and process improvements. The environment is collaborative, fast-paced, and encourages innovation, creativity, and continuous learning in a cloud-based data ecosystem.

Accountabilities

• Build, maintain, and optimize scalable data pipelines to support analytics and application needs.
• Ensure data quality, governance, and security at every stage of processing.
• Develop resilient, self-healing processes that minimize operational overhead.
• Collaborate with analysts and engineers to standardize transformation logic and optimize queries.
• Lead technical projects, creating design documents, reviewing code, and ensuring best practices.
• Implement tooling around data lineage, monitoring, and orchestration to improve efficiency.
• Troubleshoot and resolve complex data issues, providing advanced support to internal teams.
• Contribute to decisions around architecture, tool selection, and coding standards.

Requirements

• 3+ years of experience in data engineering or similar roles.
• Strong programming skills in Python, including optimization and best practices.
• Advanced SQL skills with experience in CTEs, window functions, and query optimization.
• Experience with cloud platforms (AWS preferred, GCS or Azure acceptable).
• Familiarity with APIs for data retrieval, authentication, filtering, and pagination.
• Experience with data orchestration and scheduling tools, either traditional or DAG-based.
• Comfort working with multi-terabyte cloud data warehouses (Snowflake preferred; Redshift or BigQuery acceptable).
• Experience with relational databases (Postgres preferred).
• Ability to travel up to 15% of the time.
• Strong problem-solving, communication, and collaboration skills; ability to work independently.

Preferred:

• Experience with web analytics, user behavior tracking, and funnel analysis.
• Familiarity with dbt, event tracking systems (Snowplow, NewRelic), and BI tools (Looker, Domo, PowerBI).
• Understanding of ad tech systems, such as Google Ad Manager.
• Ability to contribute positively to team culture, including a sense of humor and collaborative attitude.

Benefits

• 100% remote work within the United States.
• Competitive salary ($125,000–$135,000) with total compensation and benefits package.
• Comprehensive health, dental, and vision coverage.
• 401(k) with company match.
• Generous paid time off and wellness perks.
• Up to 12 weeks of paid parental leave.
• Inclusive family-forming benefits.
• Professional development and learning opportunities.
• Travel opportunities for team events, retreats, and industry conferences.


Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company managing the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung