Kforce has a client in Minneapolis, MN that is seeking a Lead Developer with advanced skills in Python, Apache Spark, Azure Synapse, and Azure Data Engineering services to develop and manage ETL pipelines and data processing solutions that support AI/ML initiatives. The ideal candidate will have strong expertise in Azure Cloud, including SQL, Data Factory, SQL Pools, Spark Pools, and Data Warehousing. A background in CI/CD processes, cross-functional collaboration, and methodologies is essential. In addition, knowledge of Data Science, Java, Kubernetes, Azure Data Lake Storage (ADLS) Gen2, and API development is required.
Key Responsibilities
ETL and Data Pipeline Development
Azure Cloud Development & CI/CD Deployment
Cross-Functional Collaboration
Data Engineering and API Development
REQUIREMENTS:
Expertise in Python and Apache Spark for large-scale data processing
Strong experience in Azure Synapse Analytics, including SQL Pools and Spark Pools
Advanced proficiency in Azure Data Factory for ETL pipeline orchestration and management
Knowledge of Data Warehousing principles, with hands-on experience building solutions on Azure
Experience with SQL, including complex queries, optimization, and performance tuning
Familiarity with CI/CD tools like Azure DevOps and managing infrastructure in Azure Cloud
Experience in Java for API integration and microservices architecture
Hands-on knowledge of Kubernetes for containerized data processing environments
Proficiency in working with Azure Data Lake Storage (ADLS) Gen2 for data storage and management
Experience working with APIs (REST, SOAP) and building API-based data integrations
Experience working in an Agile environment, using Scrum or Kanban
Ability to lead, mentor, and coach junior developers in the team
Strong collaboration skills to work with data scientists, analysts, and cross-functional teams to deliver end-to-end data solutions
Strong analytical and problem-solving skills with a passion for data-driven solutions
Excellent communication and presentation skills, able to explain complex technical concepts to non-technical stakeholders
Ability to work in a fast-paced, dynamic environment with changing priorities
Self-motivated and results-oriented with attention to detail
Preferred Qualifications:
Azure certifications in data engineering or cloud architecture
Experience deploying AI/ML models on cloud platforms
Familiarity with Data Governance best practices, ensuring compliance with data privacy regulations
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.
