Overview
On Site
$56 - $63 hourly
Contract - W2
Contract - Temp
Skills
Cloud Computing
Data Quality
Optimization
Data Warehouse
Creative Problem Solving
Customer Experience
Management
Decision-making
Data Modeling
Warehouse
Amazon Redshift
Snow Flake Schema
MPP
Parallel Computing
RDBMS
Database
SQL
PL/SQL
DDL
MDX
HiveQL
Scala
Scripting Language
Python
Korn Shell
Big Data
Apache Hadoop
Apache Hive
Apache Spark
Electronic Health Record (EHR)
Extract
Transform
Load
Informatica
Oracle Data Integrator
Microsoft SSIS
SAP BODS
Datastage
IBM InfoSphere DataStage
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has an enterprise client that is seeking a Data Engineer 2 in Seattle, WA.
Key Job Responsibilities:
* Data Engineer 2 will solve data warehousing problems on a massive scale and apply cloud-based services to solve challenging problems around: big data processing, data warehouse design, self-service data access, automated data quality detection and building infrastructure as a code
* Be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment
* Work closely with global business partners and technical teams on many non-standard and unique business problems and use creative problem solving to deliver data products that underpin strategic decision making, from content selection to on-platform customer experience
* Develop efficient systems and tools to process data, using technologies than can scale to seasonal spikes and easily accommodate future growth; Your work will have a direct impact on the day-to-day decision making
REQUIREMENTS:
* Experience with data modeling, warehousing and building ETL pipelines
* Database Experience: Specifically mentioned Redshift or Snowflake as ideal
* Experience with MPP (Massively Parallel Processing) RDBMS
* Experience with SQL; Be able to write SQL on top of databases
* Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
* Experience with one or more scripting language (e.g., Python, KornShell)
* Experience as a Data Engineer or in a similar role
Preferred:
* Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
* Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, DataStage, etc.
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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has an enterprise client that is seeking a Data Engineer 2 in Seattle, WA.
Key Job Responsibilities:
* Data Engineer 2 will solve data warehousing problems on a massive scale and apply cloud-based services to solve challenging problems around: big data processing, data warehouse design, self-service data access, automated data quality detection and building infrastructure as a code
* Be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment
* Work closely with global business partners and technical teams on many non-standard and unique business problems and use creative problem solving to deliver data products that underpin strategic decision making, from content selection to on-platform customer experience
* Develop efficient systems and tools to process data, using technologies than can scale to seasonal spikes and easily accommodate future growth; Your work will have a direct impact on the day-to-day decision making
REQUIREMENTS:
* Experience with data modeling, warehousing and building ETL pipelines
* Database Experience: Specifically mentioned Redshift or Snowflake as ideal
* Experience with MPP (Massively Parallel Processing) RDBMS
* Experience with SQL; Be able to write SQL on top of databases
* Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
* Experience with one or more scripting language (e.g., Python, KornShell)
* Experience as a Data Engineer or in a similar role
Preferred:
* Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
* Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, DataStage, etc.
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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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.