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
Senior Data Engineer
Responsibilities
Kforce has a client seeking a Senior Data Engineer for a remote role. Responsibilities:
• The Senior Data Engineer ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns
• Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables us to better serve our customers
• Begins to influence department's strategy
• Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction
• Exercises considerable latitude in determining objectives and approaches to assignments
Requirements
• Bachelor's degree in Computer Science, Information Technology or related field
• 5 or more years experience as a senior developer in large IT projects
• Data Engineering experience implementing data pipelines, data lakes, and data warehouses to support large-scale data processing and analytics
• Familiarity with ETL/ELT tools (i.e. Apache Airflow, Talend, Informatica), Big Data Tools (i.e. Apache Hadoop, Spark), Stream Processing (i.e. Kafka, AWS Kinesis, Azure Event Hubs, Apache Beam) and Data Orchestration tools
• Strong experience with cloud platforms (AWS, Azure, GCP)
• Knowledge of RESTful APIs, microservices architecture and serverless computing
• Prior project lead experience
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences.
• Strong oral and written communication skills
Preferred Qualifications
• Certifications in cloud technologies (i.e. AWS Certified Big Data, Azure Data Engineer Associate, GCP Data Engineer)
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with GraphQL schema design and implementation
• Familiarity with containerization technologies (Docker, Kubernetes)
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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