Staff Data Engineer (multiple openings)

About the Role

Key Responsibilities

• Architect, design, build, develop, test, and implement software systems and applications.
• Conduct business and technical analysis, code reviews, and unit testing.
• Develop and produce technical documentation for solutions related to new development, system enhancements, and production support.
• Design, develop, and implement modifications and corrections to existing software, including debugging routines.
• Serve as part of the Data Science product development team, investigating new requirements and refactoring existing functionality for performance and maintainability.
• Collaborate with project team members such as Product Managers, Architects, Analysts, Developers, and Project Managers to ensure successful development and implementation of data-driven solutions.
• Contribute to delivering solutions that meet requirements, architectural vision, and standards.
• Engage in requirements definition and clarification with Business to ensure completeness and understanding.
• Facilitate design reviews, code reviews, and assess impact of scope changes on deliverables.
• Work with engineering teams to promote continuous integration, build automation, test automation, and deployment automation.
• Collaborate with senior technical staff and project managers to identify, document, and manage risks and issues.
• Present technical solutions and capabilities in business terms, and communicate status, issues, and risks effectively.

Requirements

• Master's degree in Computer Science, Computer Engineering, Information Systems, or related field with 2 years of experience, or Bachelor's degree in the same fields with 5 years of progressive experience in data engineering or related roles.
• Experience building and maintaining data pipelines at scale using Spark and Java frameworks.
• Development of applications utilizing Python, Java, Angular, and Flask.
• Experience with DBMS and NoSQL query tuning using SQL, PL/SQL, Hive QL, or SparkSQL.
• Handling file formats such as Parquet, Avro, XML, JSON, and CSV.
• Knowledge of big data technology stack including Hadoop, MapReduce, Spark, and Kafka.
• Experience with statistical computer programs for Machine Learning, Deep Learning, and NLP using Python, TensorFlow, SkLearn, and MATLAB.
• Understanding of web services standards and technologies like XML, JSON, REST, and SOAP.
• Familiarity with software design patterns including Creational, Structural, Behavioral, and Concurrency.
• Knowledge of ML algorithms such as XGBoost, KNN, SVM, LSTM, Transformers, and PCA.

Nice to Have

• Experience with cloud platforms or distributed computing environments.
• Knowledge of additional programming languages or frameworks related to data engineering.
• Experience working in Agile development environments.

Qualifications

• Master's degree in Computer Science, Computer Engineering, Information Systems, or related field with 2 years of experience, or Bachelor's degree with 5 years of experience.

Benefits & Perks

• Salary range for new hires: $155,709 to $223,700 USD per year, potentially including sales incentives.
• Eligibility for annual bonus and equity.
• Comprehensive benefits package including Medical, Dental, Vision, 401(k), Employee Stock Purchase Program, FSA/HSA, Life Insurance, Paid Time off, and Wellness Programs.