Senior Data Engineer
Posted Today by 1759913190
Negotiable
Outside
Remote
USA
Summary: Immediate opportunity for a Senior Data Engineer on a 6+ month contract basis, with potential for long-term engagement. The position is remote and requires expertise in various data engineering technologies and methodologies. Candidates should possess strong skills in AWS, parallel computing, and CI/CD automation. The role is associated with a leading company in the insurance industry.
Key Responsibilities:
- Utilize AWS services (S3, EC2) for data engineering tasks.
- Implement parallel computing tools such as Ray and Dask.
- Automate CI/CD processes using tools like Jenkins or ADO.
- Manage infrastructure as code with Terraform.
- Containerize applications using Docker.
- Work with Python and Unix/Shell scripting.
- Handle various relational and non-relational databases.
- Manipulate tabular data effectively using tools like Pandas or SQL.
- Familiarize with data pipeline orchestration frameworks.
- Adopt Agile methodologies in project execution.
Key Skills:
- AWS (S3, EC2)
- Ray, Dask
- Pytorch
- CI/CD automation (Jenkins, ADO)
- Terraform
- Docker
- Python
- Unix/Shell scripting
- Relational and non-relational databases
- Tabular data manipulation (Pandas, Dask, Spark, SQL)
- Data pipeline orchestration frameworks (Snowflake, Tecton)
- Agile methodology
Salary (Rate): £75/hour
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Immediate need for a talented Senior Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Columbus OH (Remote). Please review the job description below and contact me ASAP if you are interested.
Job ID:25-87712
Pay Range: $65 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:
- Skills-AWS (S3, EC2), Ray, Dask.
- Pytorch
- Parallel computing tool e.g. ray, dask, prefect or multiprocessing package
- CI/CD automation, e.g. Jenkins or ADO
- Terraform
- Docker
- Experience working with Python and AWS (S3, EC2), Unix/Shell scripting.
- Experience with a variety of relational and non-relational databases and data sources
- Experience with a parallel computing tool (e.g. Ray, Prefect or multiprocessing package)
- Knowledge of at least one good tool for effective and performant tabular data manipulation (e.g. Pandas, Dask, Spark, or SQL)
- Familiarity with data pipeline orchestration frameworks and related tools a plus (e.g. Snowflake and/or Tecton)
- Agile methodology
Our client is a leading Insurance Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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