Why This Role Stands Out
Step into a leadership role where you'll architect and implement enterprise-scale data platforms on Google Cloud, mentoring a talented team and driving best practices. This hybrid position is ideal for a seasoned Data Engineer with Python and GCP expertise who thrives on technical challenges and contributing to impactful, cloud-native solutions.
Quick Overview
Job Description
RESPONSIBILITIES
Kforce has a client that is seeking a Lead Data Engineer in Madison, WI.
Key Responsibilities
Technical Leadership:
- Lead the design, development, and implementation of enterprise-scale data platforms and pipelines
- Provide technical leadership and mentorship to data engineers and cross-functional teams
- Establish data engineering standards, best practices, and architectural patterns
- Conduct code reviews and ensure solutions meet performance, scalability, and security standards
- Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions
Data Engineering & Platform Development
- Design and build robust batch and real-time data pipelines using Google Cloud Platform technologies
- Develop scalable data ingestion frameworks capable of processing large volumes of structured and unstructured data
- Build and maintain cloud-native solutions that support analytics, AI/ML, and operational reporting
- Optimize data processing performance, reliability, and cost efficiency across cloud environments
- Partner with Data Science and Analytics teams to enable advanced modeling and machine learning initiatives
Cloud & Data Architecture
- Lead the implementation of modern cloud data architectures utilizing: BigQuery; Dataflow; Dataproc; Cloud Composer; Pub/Sub; Cloud Storage
- Drive continuous improvement across development, testing, deployment, and support processes
REQUIREMENTS
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- 8-10+ years of Data Engineering experience
- 3+ years in a Lead, Principal, or Senior Data Engineering capacity
- Expert-level proficiency with Python for data engineering and data processing
- Deep expertise in Google Cloud Platform (Google Cloud Platform) and Python
- Proven success leading engineering teams while remaining hands-on with architecture, development, and delivery
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.
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