Overview
Remote
On Site
$60 - $80 hourly
Contract - W2
Contract - Temp
Skills
Extract
transform
load
Data Science
Data extraction
Machine Learning (ML)
Cloud computing
Amazon S3
Amazon EC2
PROC SQL
Microsoft SQL Server
Real-time
Data architecture
Data engineering
Data flow
Unstructured data
Amazon Kinesis
Apache Kafka
Apache Spark
Apache Airflow
Python
Amazon Web Services
SQL
NoSQL
Analytics
Transformation
Collaboration
Software deployment
Streaming
Data
Extraction
Pandas
XML
JSON
SAS
Snow flake schema
Dynamics
Pick
Caching
Training
FOCUS
Amazon Redshift
Apache Hive
Java
Scala
Informatica
Pentaho
SAP
Messaging
Amazon DynamoDB
PySpark
Workflow
Scheduling
Microsoft Windows
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Python AWS SQL NoSQL Data Pipeline Engineer for their data science and analytics operational platform. The candidate can work remotely and would start ASAP with a duration at least six months, with a likely extension to the end of the year. This is an exciting and challenging opportunity to help make transformative difference.
Responsibilities:
* As an experienced Engineer of data extraction, transformation, and persistence, you will be designing and implementing various components of our data science collaboration and deployment platform
* Working closely with Data Science and Analytics professionals, you will develop automated, streaming data pipelines for event capture, transformation, and feature extraction to assist the machine learning process
REQUIREMENTS:
* 5+ years in data-related field
* Experience with AWS cloud technologies including S3, EC2 instances, and more
* Strong Python data skills with Pandas, as well as XML/JSON parsing
* Strong SQL skills and ability to adapt those skills in multiple relational technologies and some NoSQL technologies (SAS, PROC SQL, Microsoft SQL, Snowflake, Dynamics)
* Can respond to change, pick up new technologies quickly and adapt to shifting requirements
* Production-oriented and have a commitment to quality
Candidate will have experience and/or the ability to perform the following:
* Build and maintain event capture/transformation flows, feature repositories, data cache for real-time analytics and more
* Develop data pipelines that can be leveraged in both model training and production execution
* Collaborate with Data Architecture and other Data Engineering groups maintaining a focus on operationalizing data flows in the service of data science and analytics groups
* Development of code to extract value from various structured, semi-structured and unstructured data sources creating refined data repositories for ease of analysis
Experience with the following technologies a plus:
* Redshift, Hive, Spark SQL etc.
* Experience in additional languages such as Java or Scala helpful
* ETL tools such as Informatica, Pentaho, SAP, etc.
* Messaging systems such as Amazon Kinesis or Apache Kafka
* AWS technologies such as Glue, DynamoDB
* Apache Spark or PySpark a plus
* Workflow scheduling tools such as Apache Airflow, windows scheduler, or Luigi
* Experience calling third-party REST APIs and working with JSON data
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Kforce has a client that is seeking a Python AWS SQL NoSQL Data Pipeline Engineer for their data science and analytics operational platform. The candidate can work remotely and would start ASAP with a duration at least six months, with a likely extension to the end of the year. This is an exciting and challenging opportunity to help make transformative difference.
Responsibilities:
* As an experienced Engineer of data extraction, transformation, and persistence, you will be designing and implementing various components of our data science collaboration and deployment platform
* Working closely with Data Science and Analytics professionals, you will develop automated, streaming data pipelines for event capture, transformation, and feature extraction to assist the machine learning process
REQUIREMENTS:
* 5+ years in data-related field
* Experience with AWS cloud technologies including S3, EC2 instances, and more
* Strong Python data skills with Pandas, as well as XML/JSON parsing
* Strong SQL skills and ability to adapt those skills in multiple relational technologies and some NoSQL technologies (SAS, PROC SQL, Microsoft SQL, Snowflake, Dynamics)
* Can respond to change, pick up new technologies quickly and adapt to shifting requirements
* Production-oriented and have a commitment to quality
Candidate will have experience and/or the ability to perform the following:
* Build and maintain event capture/transformation flows, feature repositories, data cache for real-time analytics and more
* Develop data pipelines that can be leveraged in both model training and production execution
* Collaborate with Data Architecture and other Data Engineering groups maintaining a focus on operationalizing data flows in the service of data science and analytics groups
* Development of code to extract value from various structured, semi-structured and unstructured data sources creating refined data repositories for ease of analysis
Experience with the following technologies a plus:
* Redshift, Hive, Spark SQL etc.
* Experience in additional languages such as Java or Scala helpful
* ETL tools such as Informatica, Pentaho, SAP, etc.
* Messaging systems such as Amazon Kinesis or Apache Kafka
* AWS technologies such as Glue, DynamoDB
* Apache Spark or PySpark a plus
* Workflow scheduling tools such as Apache Airflow, windows scheduler, or Luigi
* Experience calling third-party REST APIs and working with JSON data
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.