Remote Senior Data Engineer

Description:

• We are seeking an experienced Senior Data Engineer to join our team and take a leadership role in designing, building, and optimizing advanced data solutions.
• The ideal candidate should be passionate about leveraging data to drive business insights and have a strong background in cloud computing and machine learning.
• Responsibilities include analyzing datasets from platform and business systems, designing and implementing frameworks for seamless data integration, and determining data lake requirements.
• The role involves acquiring, cleaning, and transforming datasets to align with business needs, ensuring data quality and consistency while building, testing, and maintaining scalable and efficient data pipeline architectures.
• The Senior Data Engineer will develop tools, systems, and algorithms for data analysis and processing, enabling stakeholders to identify patterns, trends, and insights from raw data.
• The position requires deploying and managing scalable data solutions on AWS, ensuring optimal performance, security, and cost-efficiency.
• Collaboration with ML engineers is essential to create required datasets, feature stores, and prompts, developing new features from existing data to support machine learning initiatives.
• The role includes providing technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous improvement.
• Continuous monitoring and optimization of data pipelines and architectures for performance, reliability, and scalability is expected.
• The Senior Data Engineer will maintain clear and comprehensive documentation of data processes, pipelines, and architectures.

Requirements:

• Candidates must have 6+ years of experience in data engineering or a related field.
• Proficiency in programming languages such as Python, Clojure, SQL, and SparkSQL is required.
• A strong understanding of database systems and database design principles is necessary.
• Hands-on experience with big data processing frameworks such as Kafka, EKS, and Delta Live Tables is essential.
• Expertise in deploying and managing scalable data solutions on AWS Cloud computing platforms (e.g., S3, Redshift, Glue, EMR) is required.
• Experience working with machine learning teams to create datasets, feature stores, and prompts is necessary.
• A strong knowledge of Enterprise Data Architecture and Data Analytics, including technology evaluations and solution design, is required.
• Familiarity with data best practices, compliance, and regulatory requirements is essential.
• A Bachelor’s Degree in Computer Science, Data Engineering, or a related field is required, with a Master’s Degree preferred.
• Strong problem-solving skills and the ability to lead complex technical projects are necessary.
• Excellent communication skills to collaborate effectively with technical and non-technical stakeholders are required.
• US Citizenship is required for this position.

Benefits:

• Candidates can choose their contract type: Contract(1099) or B2B/C2C.
• The company offers an unlimited working-from-anywhere policy.
• Referral bonuses are available for employees.
• Employees will have the opportunity to work on international projects.