Data Engineer, Analytics Data Engineering

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

This role offers the opportunity to design and build large-scale, modern analytics pipelines from the ground up, leveraging the latest Big Data technologies. You will be responsible for creating scalable data architectures that support multiple products and domains, enabling actionable insights across business and engineering teams. The position requires strong technical expertise, strategic thinking, and collaboration with cross-functional teams to deliver reliable, efficient, and high-impact data solutions.

You will conceptualize, implement, and optimize data models, pipelines, and visualizations, ensuring high quality and operational excellence. The role is ideal for someone who thrives in a fast-paced, innovative environment and enjoys solving complex data challenges without being constrained by legacy systems. Success in this role will directly influence decision-making and the strategic use of data across the organization.

\n Accountabilities:

Design, develop, and maintain scalable analytics pipelines using modern Big Data technologies such as Spark, Databricks, and data lakes

Define company data assets, data models, and pipelines, ensuring high data quality and effective integration across systems

Collaborate with engineering, product, and data science teams to translate business requirements into data solutions and actionable insights

Conceptualize and own data architecture for multiple large-scale projects, evaluating design trade-offs for performance, scalability, and operational efficiency

Optimize pipelines, dashboards, and frameworks to enable streamlined development of data artifacts

Implement data quality frameworks and evaluate tools for lineage, monitoring, and operational reliability

Participate in on-call rotations as needed to support data services and system reliability

Requirements

5+ years of experience in Spark, Python, Java, C++, or Scala development

5+ years of SQL experience and expertise in schema design, dimensional modeling, and medallion architectures

Experience with large-scale data processing and analytics platforms, including Databricks and data lake architectures

Demonstrated ability to design, build, and maintain complex data processing systems

Strong product strategic thinking and the ability to communicate insights to influence cross-functional teams

BS degree in Computer Science, Mathematics, Physics, or equivalent technical experience

Experience designing and implementing data integrations, pipelines, and quality monitoring frameworks

Preferred: 7+ years of SQL and modeling experience, Airflow or similar orchestration frameworks, and data quality tools like MonteCarlo

Benefits

Competitive salary depending on US zone: $132,600 – $201,800 USD

Flexible remote work options and supportive engineering environment

Generous paid time off including vacation and holidays

Comprehensive medical, dental, and vision coverage

Retirement plan options with company contribution

Professional development and education allowances

Opportunities to work with cutting-edge Big Data technologies in a collaborative environment \n

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.