Job Description

We are seeking a Senior AWS Data Engineer to join the Data & Analytics team of our client, a leader in the education sector. This role will be instrumental in advancing the organization’s business intelligence and data capabilities, delivering actionable insights across financial, product, customer, user, and third-party datasets.

This is a 9 month remote contract with chance for extension.

You will be responsible for hands-on engineering of data pipelines, performance tuning of the data platform, and designing scalable reporting, analytics, and modeling solutions. A strong background in AWS, Databricks, Terraform, and SQL is essential. Collaboration with stakeholders across departments will be key to ensuring timely and successful project delivery.

Responsibilities:

• Develop and maintain scalable data solutions using AWS services and big data platforms such as Databricks.

• Build robust data pipelines using Spark and Python.

• Design and implement cloud-native solutions leveraging AWS infrastructure and Terraform.

• Monitor and optimize cloud data platforms to ensure high availability and performance, meeting SLAs.

• Apply modern data modeling techniques (e.g., star schema, fact/dimension modeling) in support of analytics use cases.

• Translate complex business requirements into scalable technical designs.

• Build parallelized ETL processes to maximize resource efficiency and minimize processing time.

• Interpret and implement ETL specification documents; utilize transformations such as Aggregator, Lookup, Joiner, Router, and others.

• Provide comprehensive technical documentation and solution design deliverables.

• Contribute to Agile project workflows using tools like Jira and version control systems like Git.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent work experience.

• 5+ years of hands-on experience in data engineering roles.

• Expertise in data warehousing and modern data lake architecture.

• Proficiency with:

  • AWS services (e.g., Athena with Iceberg, Lambda, EMR, Glue)

  • Databricks and Spark

  • Python scripting

  • Terraform for infrastructure as code

• Strong understanding of Agile/Kanban methodologies and project management tools.

Nice to have:

• Experience in the education or publishing domain.

• Familiarity with Tableau, Alteryx, or other BI tools.

• Exposure to financial data domains (e.g., sales, revenue, COGS, manufacturing).

• Knowledge of IBM Planning Analytics (TM1).