Intone Networks - Chicago, IL

posted about 2 months ago

Full-time - Mid Level
Chicago, IL
Professional, Scientific, and Technical Services

About the position

We are seeking a skilled Data Engineer to join our team in Chicago. This position is crucial for the development and maintenance of our data infrastructure, ensuring that our data pipelines are efficient, reliable, and scalable. The Data Engineer will work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide the necessary support to facilitate data-driven decision-making across the organization. The ideal candidate will have a strong background in data engineering, with experience in designing and implementing data solutions that meet business requirements. You will be responsible for building and optimizing data pipelines, ensuring data quality, and integrating data from various sources. Additionally, you will play a key role in the migration of legacy systems to modern data platforms, contributing to the overall data strategy of the organization. As a Data Engineer, you will also be involved in troubleshooting data issues, performing data analysis, and collaborating with cross-functional teams to enhance data accessibility and usability. This role requires a proactive approach to problem-solving and a commitment to continuous improvement in our data processes.

Responsibilities

  • Design and implement data pipelines to support data integration and processing.
  • Collaborate with data scientists and analysts to understand data requirements and provide necessary data solutions.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Optimize existing data pipelines for performance and scalability.
  • Migrate legacy data systems to modern data platforms.
  • Troubleshoot data issues and perform root cause analysis.
  • Document data processes and maintain data architecture documentation.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with relational databases.
  • Experience with data warehousing solutions and ETL processes.
  • Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
  • Strong programming skills in languages such as Python, Java, or Scala.

Nice-to-haves

  • Experience with data visualization tools like Tableau or Power BI.
  • Familiarity with machine learning concepts and tools.
  • Knowledge of data governance and data security best practices.

Benefits

  • Competitive salary
  • Health insurance
  • 401(k) plan with company matching
  • Flexible working hours
  • Opportunities for professional development
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