Data Engineer

RESPONSIBILITIES:
Kforce has a client that is seeking a remote Data Engineer to join their team.

Summary:
The Data Engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise. The data engineer also is responsible for the creation of BI solutions designed to gain insights, monitor key organizational and operational measures, and provide visibility throughout the organization and to our customers of system performance.

Responsibilities:
* Designs and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems
* Integrates data from different sources
* Analyze, design, develop, and document BI solutions based on Information Services standards and best practices
* Coordinate with the team to build and share knowledge
* Analyze, diagnose, and resolve reporting, ETL, and data issues
* Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
* Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
* Works to optimize data pipelines and data processing workflows for performance, scalability, and efficiency
* Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
* Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data

REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Systems, Mathematics or similar field or equivalent experience
* At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks
* Proven project experience developing and maintaining data warehouses in big data solutions (e.g. Snowflake)
* Experience in data science languages/tools such as SQL, Python, R, SAS, or Excel
* Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
* Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, Google Cloud Platform) and modern data warehouse tools (Snowflake, Databricks)
* Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems
* Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals
* Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI
* Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products
* Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options
* Ability to translate among the languages used by executive, business, IT, and quant stakeholders

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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