RESPONSIBILITIES:
Kforce has an enterprise client seeking a Data Engineer II in Seattle, WA.
Summary:
As a Senior DE, you will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You'll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.
Responsibilities:
* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies
* Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team
* Designing and implementing complex pipelines and other Data Engineering solutions
* Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data
* Create extensible designs and easy to maintain solutions with the long term vision in mind
* Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs
* You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs
* A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies
REQUIREMENTS:
* 5+ years of Data engineering experience
* Expertise with data modeling, warehousing and building ETL pipelines
* Experience in at least one modern scripting or programming language, such as Python, Scala, or NodeJS
* Expert knowledge of SQL
* Experience developing complex and a variety of reports
* Strong analytical skills and enjoys working with large complex data sets
* Preferred: Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
* Preferred: Experience operating large data warehouses
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.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: kforcecx
- Position Id: ITTVT2159956
- Posted 10 hours ago
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