NEW YORK, NYPosted 22 days ago

Job summary

• Job post source

  This job is from a recruiting firm hiring for a separate company, Chartbeat, as the description references Chartbeat as the company and Jobright.ai appears to be the recruiting platform.

• Job overview

  The Data Engineer role at Chartbeat involves designing and maintaining data pipelines to support customer-facing analytics products, contributing to the company's data infrastructure and product development.

• Responsibilities and impact

  The candidate will design, build, scale, and maintain data pipelines, data stores, analysis engines, and APIs, contribute code within a cross-functional team, and participate in on-call rotations to ensure production system health.

• Experience and skills

  The position requires at least 3 years of Data Engineering experience, proficiency in Python, knowledge of REST APIs, and ability to build scalable multi-tenant data pipelines; preferred skills include experience with Snowflake, PostgreSQL, HBase, and distributed systems like Zookeeper and Kafka.

• Work environment and culture

  The role emphasizes excellent communication skills and a commitment to an inclusive and collaborative work environment.

• Company information

  Chartbeat is a company that provides tools to measure and monetize website visitor engagement and attention on content and advertising, with a history of H1B sponsorships.

Company overview

Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.

How to land this job

• Tailor your resume to highlight your 3+ years of experience as a Data Engineer, emphasizing your proficiency in Python and designing scalable data pipelines for multi-tenant, high-scale applications.

• Focus on showcasing your familiarity with RESTful APIs, your ability to contribute to cross-functional teams, and your experience with production system monitoring and maintenance.

• Apply through multiple channels including Jobright.ai's corporate career page, LinkedIn job postings, and other reputable job boards to maximize your application visibility.

• Connect on LinkedIn with current Data Engineers or team members in the engineering division at Jobright.ai; start conversations by mentioning your shared interest in scalable data pipelines or recent innovations in distributed systems like Kafka or Snowflake.

• Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'Python,' 'REST APIs,' 'multi-tenant applications,' and 'distributed systems' to ensure it passes automated screenings.

• Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify all relevant job posting locations, and find LinkedIn contacts to network with, allowing you to focus your time on preparing for interviews and skill enhancement.