Data Engineer II (Remote - US) - job 1 of 12

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

As a Data Engineer II, you will play a critical role in shaping the organization’s data ecosystem by designing, building, and optimizing scalable data pipelines and analytics solutions. You will partner closely with business stakeholders, analysts, and cross-functional teams to translate complex business requirements into robust, enterprise-grade data models and dashboards. This position combines hands-on technical expertise with strategic insight, requiring both problem-solving capabilities and the ability to mentor junior engineers. You will contribute to the organization’s data strategy, promoting best practices in governance, quality, and self-service analytics. Success in this role will directly impact operational excellence, decision-making, and enterprise-wide data initiatives. You will thrive in a collaborative, fast-paced environment that values innovation, accountability, and continuous learning.

Accountabilities

• Design, develop, and optimize scalable data pipelines and ETL frameworks to support analytics and reporting needs.
• Translate business requirements into technical data solutions, acting as a liaison between stakeholders and the Data & Analytics team.
• Architect enterprise-grade data models, dashboards, and semantic layers using tools such as Power BI, Looker, or Tableau.
• Ensure data quality, integrity, and governance across all platforms and solutions.
• Foster a culture of self-service analytics and data literacy throughout the organization.
• Collaborate with cross-functional teams to deliver high-impact data solutions for strategic initiatives.
• Mentor and guide team members, delegate work, and support project management as needed.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 7+ years of experience in data engineering, with proven experience in complex data projects.
• Advanced SQL skills and hands-on experience with modern data pipeline tools (e.g., Azure Data Factory, dbt, Apache Airflow).
• Proficiency in at least one BI platform (Power BI, Looker, Tableau), including dashboard development and semantic modeling.
• Experience with cloud data platforms (Azure, AWS, or GCP).
• Strong communication and stakeholder engagement skills, with the ability to influence cross-functional initiatives.
• Ability to work autonomously and collaboratively in a fast-paced environment.
• Preferred: Python or other scripting languages, CI/CD experience, and familiarity with data governance, security, and compliance frameworks.

• Competitive base salary: USD $91,000 - $156,000 depending on experience and location.
• Comprehensive healthcare and retirement benefits.
• Generous paid time off and volunteer opportunities.
• Reward and recognition programs, employee resource groups, and committees.
• Support for continuous learning and professional development.
• Inclusive and collaborative work environment.

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 three 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 that owns 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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