Data Engineering Team Lead - Charlotte

Only for registered members Charlotte, United States

15 hours ago

Responsibilities · Kforce's client has an immediate need for a Data Engineering Team Lead for a contract to hire position, working hybrid in Charlotte, NC 2-3 days a week · Overview: The Data Engineering Team Lead will support the personal lines data team, focusing on a major fro ...

Job description

Responsibilities

Kforce's client has an immediate need for a Data Engineering Team Lead for a contract to hire position, working hybrid in Charlotte, NC 2-3 days a week

Overview:

The Data Engineering Team Lead will support the personal lines data team, focusing on a major front-end replacement project involving new data feeds.

You will have responsibility for coaching, design, and delivery oversight. The role is about 30% hands-on, 30% design/guidance, and 30-40% coaching and delivery management.

Responsibilities:
Lead a high performing team in the delivery of key components and business deliverables
Ensure both on-time successful delivery, and the technical and architectural quality of the solutions
Collaborate with individuals from all areas of the business and IT organizations to develop accurate business requirements and design architectural solutions
Resolve and escalate technical and project delivery issues as needed
Drive process improvements within the team and across the department to improve efficiency and quality
Work directly with the architecture group to coordinate new design patterns and technology
Assist in prioritizing new development projects, enhancement projects for existing systems, and system maintenance requests
Act as a key contributor in planning and estimation of projects
Support development of talent within the organization through coaching and mentoring of team members
Ensure design, code, and test plan reviews are conducted as appropriate

Requirements

College degree in Computer Science or Management Information systems preferred
7+ years of experience leading and/or hands-on development of Data Warehouse/Data Lakes, Data integration or Data Engineering projects
Experienced in any of these analytical platforms - Power BI, AzureML
Experience in ETL and ELT tools (Databricks)
Experience with DataOps or other automation frameworks
Strong Azure and/or AWS DataBricks, PySpark, SQL, Strong Data modeling concepts; Experience in any of these analytical platforms - Power BI, Azure ML, Proficient in Data modeling, PySpark and SQL
Proficient in modern data architecture; Prior ETL experience helpful
Proven history of owning and taking accountability for leading others to complete complex deliverables
Excellent communication skills
Visa sponsorship is not available for this position

Preferred

SAFe Agile work experience or similar Agile process
Experience working within Azure ecosystem
Property Casualty Insurance experience highly desired

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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