2 часа назад
Senior Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Building and maintaining the core data platform, including relational database schemas, ETL/ELT pipelines, and data models supporting products, analytics, and reporting with an accent on SQL performance, data governance, security, and enterprise data platforms. Focus on designing reliable pipeline orchestration, enforcing data contracts, managing schema releases and disaster recovery, and applying embeddings, vector databases, and semantic retrieval patterns.
Location: Remote-based role associated with the Becker, Minnesota office; work sponsorship is not available.
Company
and its RealTime Solutions brand use foodservice data intelligence and analytics to create growth strategies for food manufacturers.
What you will do
- Design, maintain, and optimize relational database schemas, stored procedures, indexes, and execution plans.
- Architect and operate ETL/ELT pipelines, including orchestration, scheduling, error handling, monitoring, and recovery.
- Develop data models, data contracts, lineage documentation, metadata, data dictionaries, and pipeline runbooks.
- Implement data governance and security practices covering PII, role-based access, audit logging, and encryption.
- Manage schema migrations and releases across development, staging, and production environments.
- Contribute to disaster recovery, backup, restore procedures, tooling improvements, and engineering standards while mentoring junior engineers and analysts.
Requirements
- 5+ years of data engineering experience with relational databases, APIs, batch or streaming patterns, and cloud data platforms.
- Expert SQL skills, including complex stored procedures, query optimization, indexing, and execution plan analysis.
- Experience with end-to-end pipeline architecture, orchestration, scheduling, validation, reconciliation, and monitoring.
- 3+ years of experience in data modeling, data lineage, metadata management, and pipeline orchestration tools such as SSIS, Airflow, or Databricks.
- Proficiency in Python, JavaScript, or a similar scripting language, plus Git workflows and versioned schema migrations.
- Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent software engineering experience; knowledge of embeddings, vector databases, document chunking, semantic retrieval, and knowledge base creation.
Nice to have
- Experience with Snowflake, Redshift, or Databricks enterprise data platforms, including ontology building and maintenance.
Culture & Benefits
- Medical, dental, and vision insurance, FSA, company-paid life insurance, and a 401(k) with company match.
- Training, professional development, and competitive pay.
- Flexible PTO with no accrual requirement.
- Commitment to a diverse, inclusive, and authentic workplace.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →