Data Engineer - AWS

Posted on 29 May 25 by Kyle Maves

  • $ - $
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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).

Job Information

Rate / Salary

$ - $

Sector

Education

Category

Not Specified

Skills / Experience

Not Specified

Benefits

Not Specified

Our Reference

JOB-22350

Job Location