Experis
Sr. Data Engineer (Remote)
Experis - Highland Heights, Ohio, United States
Work at Experis
Overview
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Overview
Hello,
We're seeking a Sr. Data Engineer professional for a 100% Remote opportunity for our direct client based out of Ohio. This is an initial 12 months contract to start with potential extensions. Candidates need to be located in the United States and available to work in EST timings.
This is a W2 role. Please send your resumes to
richard.pereira@experis.com
Title: Sr. Data Engineer Sr Specialized (1 opening) • ~12 # month assignment • Remote - Candidates must be willing to work EST hours. Expected to work within core business hours, and must not exceed 40 hours/week.
For this contractor assignment, as a Data Engineer Senior youll contribute to highly available and scalable solutions that are built on cutting-edge cloud architecture. You will partner with Data Science and Agile IT teams focused on using new technologies, modern CICD practices, and the right tools to enhance our ability to deliver value to our customers. Youll build out the necessary data pipelines to support Data Science models and enable efficient access to multiple data sources, support packaging and deploying new models or updated models to production, and create the necessary infrastructure needed for model training.
Day-to-Day Responsibilities: • Partner with the Data Scientists to support model construction, documentation, deployment and automated testing • Create new data pipelines or improve efficiency in data pipelines needed to support the project • Package up and deploy new models or updated models to production • Create the necessary infrastructure to support model training • Build data pipelines that enable automated data processing and efficient change • Lead requirements reviews with the Data Scientist and Application team to ensure the design is fit for requirement
Required skills: • Experience working with Python and AWS (S3, EC2) • Experience with a variety of relational and non-relational databases and data sources • Experience building components of data infrastructure solutions that will interface with traditional RDBMS, NoSQL systems, object stores such as S3, HDFS, or Pub/Sub systems. Data may be in various formats. Systems may be on-premise, in the cloud, external APIs or vendor data. • Knowledge of at least one good tool for effective and performant tabular data manipulation (e.g. Pandas, Dask, Spark, or SQL)
Preferred skills and experiences: • Familiarity with data pipeline orchestration frameworks and related tools a plus • CI/CD automation, e.g. Jenkins or ADO • Experience with analytical databases, snowflake • Terraform • Docker
EDUCATION AND/OR EXPERIENCE REQUIRED: - Bachelor's Degree or higher in an Information Technology discipline or related field of study
Regards, Richard Pereira richard.pereira@experis.com
This is a W2 role. Please send your resumes to
richard.pereira@experis.com
Title: Sr. Data Engineer Sr Specialized (1 opening) • ~12 # month assignment • Remote - Candidates must be willing to work EST hours. Expected to work within core business hours, and must not exceed 40 hours/week.
For this contractor assignment, as a Data Engineer Senior youll contribute to highly available and scalable solutions that are built on cutting-edge cloud architecture. You will partner with Data Science and Agile IT teams focused on using new technologies, modern CICD practices, and the right tools to enhance our ability to deliver value to our customers. Youll build out the necessary data pipelines to support Data Science models and enable efficient access to multiple data sources, support packaging and deploying new models or updated models to production, and create the necessary infrastructure needed for model training.
Day-to-Day Responsibilities: • Partner with the Data Scientists to support model construction, documentation, deployment and automated testing • Create new data pipelines or improve efficiency in data pipelines needed to support the project • Package up and deploy new models or updated models to production • Create the necessary infrastructure to support model training • Build data pipelines that enable automated data processing and efficient change • Lead requirements reviews with the Data Scientist and Application team to ensure the design is fit for requirement
Required skills: • Experience working with Python and AWS (S3, EC2) • Experience with a variety of relational and non-relational databases and data sources • Experience building components of data infrastructure solutions that will interface with traditional RDBMS, NoSQL systems, object stores such as S3, HDFS, or Pub/Sub systems. Data may be in various formats. Systems may be on-premise, in the cloud, external APIs or vendor data. • Knowledge of at least one good tool for effective and performant tabular data manipulation (e.g. Pandas, Dask, Spark, or SQL)
Preferred skills and experiences: • Familiarity with data pipeline orchestration frameworks and related tools a plus • CI/CD automation, e.g. Jenkins or ADO • Experience with analytical databases, snowflake • Terraform • Docker
EDUCATION AND/OR EXPERIENCE REQUIRED: - Bachelor's Degree or higher in an Information Technology discipline or related field of study
Regards, Richard Pereira richard.pereira@experis.com