Curriculum Writer: Data Engineering (Contract; Part time)

Correlation One helps organizations develop the workforce data literacy and fluency to drive in-house data transformations and make the most of their technology investments. Companies need data talent to power growth, but there are many blockers to talent development. These obstacles range from structural inequities that have held certain groups back to a dearth of affordable, high-quality, career readiness training.

To meet those needs, we deliver innovative custom training solutions designed to upskill or reskill workforces. Our award-winning stateside data training programs — including Data Science for All (DS4A) — have expanded to support governments in South America and the Middle East who are investing in data literacy today to fill job opportunities in tomorrow's data economy.

Our programs are offered 100% free to learners, thanks to partnerships with some of the world’s most distinguished brands (Amazon, Johnson & Johnson, and SoftBank), corporations that recognize the urgent need to access, develop, and train talent to power data-driven businesses responsibly, ethically, and at scale.

About the role:

The Curriculum Writer will play a key role in the content development needs of Correlation One’s upcoming programs. This person will be responsible for writing lessons in the form of contextual business case studies, self-paced labs, and homework assignments in order to create engaging and industry-relevant curricula.

A successful curriculum developer will have experience in:

• Data repositories
• Data pipelines
• Data integration platforms
• Big Data
• SQL, NoSQL, Python, AWS - S3, Glue. RDS, Spark, RedShift,
• ETL/ELT processes - pipelines
• Knowledge of distributed systems Hadoop & Spark
• Knowledge of cloud computing platforms Azure & AWS
• Strong programming skills in at least one programming language like Java, Python, or Scala
• Knowledge of relational databases
• Knowledge of NoSQL databases like MongoDB or Cassandra
• Understanding the basics of distributed systems
• Knowledge of algorithms and data structures
• Data Modeling
• Data Warehouse

The expected commitment to this role is approximately 10 hours per week.

This role is fully remote, flexible and is compensated.

Key Responsibilities:

• Develop class materials (lectures, homework, capstone project prompts, etc.) from a provided outline
• Engage in peer review class materials for content, grammar, and spelling
• Collaborate with Advisors, subject matter experts, and internal Correlation One team to deliver high quality content
• Provide teaching assistant support when needed

Preferred Qualifications and Experience:

• 3+ years of combined experience in Data Engineering and key topics outlined above
• Strong command of the English language, both oral and written
• Ability to perform industry and domain research and incorporate new topics into varied curricula
• Data-driven mindset and results-oriented