Description:
Senior Data Engineer
In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.
About The Role.
McCain is on an ambitious digital transformation journey, investing in data platforms, analytics, and technology to drive business growth and enhance customer experience. As a Senior Data Engineer, you will play a critical role in building scalable data pipelines and infrastructure that power analytics and machine learning initiatives. This role partners closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making across the organization.
What You’ll Be Doing.
- Design, build, and maintain scalable and efficient data pipelines across multiple data sources
- Ensure data quality, integrity, and availability for analytics and business use cases
- Collaborate with data architects to develop and optimize data models and storage solutions
- Partner with data scientists and analysts to translate business requirements into technical solutions
- Monitor and optimize performance of data systems to support scalability and future growth
- Provide technical leadership and mentorship to junior data engineers
- Evaluate and recommend new tools and technologies to enhance data engineering capabilities
- Develop and maintain comprehensive documentation for data systems and processes
What You’ll Need To Be Successful.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field
- 5–7+ years of experience in data engineering or related roles
- Proficiency in programming languages such as Python, Java, or Scala
- Experience with data processing frameworks such as Apache Spark or Hadoop
- Strong knowledge of relational (SQL) and NoSQL databases (e.g., MongoDB, Cassandra)
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with ETL tools, data warehousing, and orchestration frameworks (e.g., Airflow)
- Strong analytical, problem-solving, and communication skills
- Preferred: Experience with Docker, Kubernetes, or containerization technologies
- Preferred: Prior leadership or mentorship experience in data engineering projects
- Preferred: Relevant cloud or data engineering certifications