Data Engineer at Kforce Inc in Lake Forest, Illinois

Job Description:

RESPONSIBILITIES:

Kforce has a client that is seeking a Data Engineer in Lake Forest, IL.

Duties Include:

• Data Engineer will combine technical expertise and problem-solving passion to work closely with the teams


• Translate requirements to system design and develop a solution that delivers business value


• Design, develop and manage data infrastructure and pipelines


• Develop and implement processes to collect data from a variety of sources, and ensure these processes are reliable and scalable


• Create and deploy efficient data storage solutions and optimize these for performance and scalability


• Develop data pipelines to automate data extraction, transformation, and loading


• As a Data Engineer, you will implement industry-standard data security methods, including encryption, and ensure compliance with data privacy regulations


• Data modeling, warehouse design and fact/dimension implementations


• Brainstorm and contribute ideas to our technology, algorithms, and products

REQUIREMENTS:

• Bachelor's degree in Computer Science or Information Technology


• 6+ years of programming experience in building and working on large scale distributed system which meets business needs


• 4-5 years of relevant experience with detailed knowledge of data warehouse, infrastructure components, ETL/ ELT, and reporting/analytic tools


• 3+ years of experience in Big Data Distributed ecosystems (Hadoop, SPARK, & Hive)


• Strong experience in coding languages like Python, Scala & Java


• Hands-on experience in Amazon Web Services and Tableau


• Fluency with CI/CD toolsets such as: AWS CodePipeline, CloudFormation, GitHub


• Experience with agile development methodologies


• Implementation experience with column-oriented database technologies (i.e. Redshift), NoSQL database technologies (i.e., DynamoDB) and traditional database systems (i.e., SQL Server, MySQL)


• Have working knowledge of Data Lake, Data Warehouse


• Strong analytical and problem-solving skills to resolve issues, able to analyze complex data and business


• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams

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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