Senior Data Engineer
Rad AI145,000 - 190,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Engineering, Big Data, Data Science, Cloud ComputingIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science or a related field, and have a minimum of four years of experience as a professional software or data engineer, with a strong background in building large-scale distributed data processing systems. Experience with AI, machine learning, or data science concepts, including working on ML feature engineering, model training pipelines, or AI-driven data analytics is required.
Responsibilities
The Senior Software Engineer - Data Engineering will design and implement highly scalable, fault-tolerant data pipelines for real-time and batch processing, develop and optimize end-to-end Databricks Spark pipelines for ingesting, processing, and transforming large volumes of data, build and manage ETL processes to integrate data from diverse sources, implement data validation, governance, and quality assurance mechanisms, collaborate with data scientists, ML engineers, and analysts to integrate AI/ML models into production environments, and work with real-time data streaming solutions such as Kafka, Kinesis, or Flink to process and analyze event-driven data, as well as improve and optimize the performance, scalability, and efficiency of data workflows and storage solutions, and document technical designs, workflows, and best practices.
Skills
Databricks
Spark (Scala)
Kafka
Kinesis
Flink
AWS S3
Distributed Computing
ETL
Data Validation
Data Governance
Data Quality Assurance
API Integration
Large-scale Data Processing
Real-time Data Streaming
Machine Learning
Data Science
Teikametrics
Optimizes Amazon advertising for e-commerce
About Teikametrics
Teikametrics specializes in optimizing e-commerce businesses, particularly those on Amazon. The company uses advanced ad management, automation, and data science to help clients increase their sales profitability. Their platform offers tools for keyword automation, customized campaign strategies, and detailed segmentation based on product goals and inventory levels, allowing businesses to manage their advertising spend effectively. Teikametrics differentiates itself from competitors by providing a subscription-based service that combines software access with consulting expertise, ensuring clients achieve a better return on investment in advertising. The company's goal is to help businesses, from small startups to large enterprises, maximize their sales and profitability on Amazon.
Key Metrics
Boston, MassachusettsHeadquarters
2015Year Founded
$63.2MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Consulting, Consumer SoftwareIndustries
201-500Employees