Job Description:

RESPONSIBILITIES:

Kforce has a client that is seeking a Senior Data Engineer in Milwaukee, WI.

Summary:
The Senior Data Engineer will focus on quality engineering best practices to meet and exceed internal and external client expectations. In this position, you will analyze, design, develop, test and document solutions supporting data integration, performance tuning, and data modeling to drive organization growth objectives. The Senior Data Engineer will define the standards for data architecture, platform architecture, and data quality and governance. This role is responsible for ensuring that the function is aligned with the overall organization and continuously works to meet critical service levels in access, delivery and security.

Responsibilities:

• Co-architect next gen cloud data analytics platform


• Increase operating efficiency and adapt to new requirements


• Senior Data Engineer will monitor and maintain the health of solutions generated


• Support and enhance our data-ops practices


• Provide task breakdowns, identify dependencies, and provide effort estimates


• Model data warehouse entities in Erwin


• Build data transformation pipelines with Data Build Tools (DBT)


• Evaluate the latest technology trends and develop proof-of-concept prototypes that align with opportunities


• Develop positive relationships with clients, stakeholders, and internal teams


• Understand business goals, drivers, context, and processes to suggest technology solutions that improve the organization


• As a Senior Data Engineer, you will work collaboratively on creative solutions with engineers, product managers, and analysts in an agile like environment


• Perform, design, and code reviews


• Perform other position-related duties as assigned

REQUIREMENTS:

• Eight years or more experience working with data modeling, architecture and engineering


• Two years or more experience designing and implementing data warehouses in Snowflake


• Experience with all core software development activities, including requirements gathering, design, construction, and testing


• Experience performing data transformation using DBT


• Experience working with DQ products such as Monte Carlo, BigEye, or Great Expectations


• Experience with Azure DevOps (Repos, Pipelines, Boards, Wiki, Test Plans)


• Experience with formal software development methodologies including Software Development Life Cycle (SDLC), Agile or Scrum


• Experience building high-performance and highly reliable data pipelines


• Experience and knowledge of data warehouse design patterns (star schema, data vault)


• Experience building dashboards with business integrations tools


• Knowledge of DataOps with cloud-based compute, storage, integration and security patterns


• Knowledge and understanding of RESTful APIs


• Knowledge of current data engineering trends, best practices, and standards


• Knowledge of SQL and Python

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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