Data Engineer

1 month ago

Charlotte, United States Optomi Full time

Data Platform Engineer - (Python, AWS Data Lake, Java, SQL)

  • 100% Remote - must sit in EST timezone, no exceptions
  • W2 Only - must be USC or GC Holder or able to work direct W2 with no sponsorship
  • Contract to Hire: 6-12 month contract, then convert to fulltime


Optomi, in partnership with a leader in the banking industries, is seeking a Data Platform engineer to join their growing team You will be helping them build fundamental platform capabilities on their next generation AWS Data Lakehouse platform with Python, Java, and SQL as primary development languages, and Terraform as a declarative language. Source code is managed via Gitlab. This platform includes leading edge tools like Databricks, Fivetran, Airflow, and DBT.

Specific project details will include creation of Databricks Workspaces, Role and Access Privilege automation, Platform monitoring and observability with Datadog and PagerDuty, and many more key new features that will enable rapid growth, performance, and security on the next generation Data platform.

  • Create data platform features, such as Enterprise role-based access controls, data anonymization, user onboarding and setup, and workspaces within Databricks
  • Create data ingestion patterns and pipelines, following standards that support self-service analytics users across all bank domains (deposits, loans, checking, etc.), via real-time, near real-time, and batch processes
  • Be a hands-on contributor that can build data products as needed, from source to target ingestion, transformative data models and data marts that provide high-quality, trusted data for self-service consumers.
  • Interact with a variety of engineering team members to enable their professional capabilities, development, and understanding of data platform features
  • Promote the adoption and execution of industry best practices related to data ingestion and transformation, from source to target model development, dashboard analytics, and data access, quality, and governance.
  • Help establish and document designs, standards, and user guides to help engineering teams consume the data platform features that you create.


Required and Preferred Experience

  • 2+ years of hands-on experience with data engineering, using tools like Python, SQL, DBT (Data Build Tool), ascend.io, or Informatica with source code control in Gitlab/Bitbucket
  • 2+ years of experience working with AWS-based cloud engineering technologies like Redshift, Databricks, Glue, Step Functions, EC2, Cluster management, and configuration
  • 1+ years of experience with Config As Code/Infrastructure As Code with tools like Terraform
  • Basic understanding of modern Data Platform capabilities
  • Ability to work in a team environment and not take yourself too seriously.
  • Preferred: Experience building/maintaining software and/or engineering platforms and frameworks

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