Principle Data Engineer

MatchPoint Solutions is a fast-growing young energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you!

Principal Data Engineer

Remote

12 months

$80 - $85/hr on W2

As a Principal Data Engineer you will design build and maintain scalable data pipelines and models that power critical data products. These include centralized user data models analytics for digital content and live events customer support insights and activity data systems. These systems support understanding of user onboarding funnels engagement patterns support efficiency and content effectiveness. You will collaborate with product managers analysts and engineers to ensure data infrastructure is reliable performant and directly tied to delivering better user experiences.

. Responsibilities:

• Design build and optimize scalable ETL pipelines for structured and semi-structured data supporting insights use cases growth metrics live event analytics and other external-facing data sets.
• Design and implement data models using industry best practices that capture a complete ecosystem view of user experiences ensuring accuracy scalability and long-term usability.
• Architect and implement robust maintainable and high-performance data solutions.
• Automate workflows to reduce manual intervention and enhance data processing efficiency including automation for content growth and live event analytics.
• Mentor data engineers across all levels setting best practices and fostering technical growth.
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
• Evaluate and adopt new tools frameworks and methodologies to advance data engineering capabilities.
• Support cost optimization by ensuring scalable and efficient data solutions.
• Ensure data quality governance and compliance with regulatory standards (e.g. GDPR CCPA).
• Contribute to the organizations data engineering discipline by shaping infrastructure standards tooling and best practices.

• Bachelors or Masters degree in Computer Science Information Systems Engineering or a related field.
• 8 years experience in data engineering or a related field.
• Strong Expertise in big-data technologies including Python GoLang Spark Scala SQL and tools like Airflow and dbt.
• Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
• Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
• Demonstrated ability to work cross-functionally with engineering analytics and product teams.
• Proven experience mentoring and guiding other engineers.

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.