AWS Cloud Data Engineer

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Published: October 11, 2022
Remote, United States of America
Job Type
Contract to Hire
Based on Experience


AWS Cloud Data Engineer

Combine the best of your ingenuity and Cloud technologies to build a better world and manage clients towards change.

As a Cloud Data Engineer, you will design and maintain data analytic road maps and data structures that support business and technology objectives. Naturally inquisitive and open to exploration of underlying data, find valuable insights and work with functional areas to drive identified actions. You enjoy working both freely and as part of a team and have the confidence to influence and communicate with stakeholders at all levels, and to work in a fast-paced complex environment with conflicting priorities.

About the Role:

You will be working on client projects for our BIaaS practice. Alongside our clients, functional and technology SMEs on some of our most challenging projects. Reporting to the Principal, you will deliver digestible, contemporary, and immediate data content to support and drive business decisions. The key focus of the role is to deliver reports, dashboards, and custom solutions for various business critical requirements. You will be involved in all aspects of data engineering from delivery planning, estimating and analysis, all the way through to data architecture and pipeline design, delivery, and production implementation.

From day one, you will be involved in the design and implementation of complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premises, and hybrid client technology landscapes. We are looking for 3+ years of experience in data engineering in a customer or business facing capacity and experience in the following:

Skills and Abilities:

  • Ability to understand and articulate requirements to technical and non-technical audiences, Stakeholder management and communication skills, including prioritizing, problem solving and interpersonal relationship building.
  • Strong experience in SDLC delivery, including waterfall, hybrid, and Agile methodologies.
  • Experience delivering in an agile environment.
  • Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.
  • Strong understanding of data modelling, data structures, databases, and ETL processes.
  • In-depth understanding of large-scale data sets, including both structured and unstructured data.
  • Strong SQL and/or Python knowledge.
  • Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment.

Experience in AWS Stack with:

  • Spark (PySpark)
  • Trino/Presto/Athena SQL
  • Apache Hive/partitioned data stores and the parquet file format
  • AWS (or equivalent from other clouds)
  • Step Functions
  • EMR
  • Cluster Sizing
  • Cluster configuration (bootstrapping python dependencies)
  • Lambda
  • Glue (Metastore)
  • Kinesis
  • S3


  • Medical Insurance (Anthem BCBS PPO)
  • Dental Insurance (Delta Dental)
  • Vision Insurance (Delta Vision)
  • Life and AD&D Insurance
  • Short- and Long-Term Disability Insurance
  • 401k Plan
  • Flexible Spending Account (FSA) - Medical and Child Care expenses
  • Paid Holidays (7 Days)
  • Paid Vacation (10 days)
  • Sick Leave Allowance (6 days)
  • Training Reimbursements
  • Direct Deposit
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