Data Engineer

Intercom, a leading communications platform company, is seeking a Data Engineer in Detroit, MI. This full-time position offers attractive compensation and benefits.

As a Data Engineer, you will design, build, and maintain data pipelines to support our growing customer base. Your tasks include working with large datasets, ensuring data integrity, and optimizing data processing workflows. You will collaborate closely with data scientists and analysts to deliver actionable insights.

You will be part of our team in Detroit, MI, working in a collaborative and innovative environment. Our office is located in the heart of the city, providing a vibrant and dynamic workplace.

The salary for this position is negotiable and will be discussed during the interview process, with the potential for compensation to be tailored to the candidate's skills, experience, and market value. Benefits are not specified, but the employer may offer a comprehensive package that includes health insurance, retirement plans, paid time off, and possibly other perks such as professional development opportunities or wellness programs.

The candidate should be prepared to discuss their expectations and the employer's offerings in detail during the interview to ensure a mutually beneficial agreement.

The ideal candidate should have a strong background in data engineering, with experience in designing and implementing data pipelines. Proficiency in SQL, Python, and cloud platforms such as AWS or GCP is essential. Experience with big data technologies like Hadoop or Spark, and familiarity with data warehousing concepts, are also required.

The workplace is a modern, open-concept office with a collaborative environment, equipped with essential tools such as computers, printers, and necessary software.

The position requires a bachelor's degree in a relevant field, along with at least two years of experience in the industry. Strong communication skills and proficiency in Microsoft Office Suite are also essential.

• Designing and building data pipelines, ensuring data integrity, optimizing data processing workflows, collaborating with data scientists and analysts
• Strong background in data engineering, experience in designing and implementing data pipelines, proficiency in SQL, Python, and cloud platforms, experience with big data technologies, familiarity with data warehousing concepts