pythonsqletldata modelingdatabricksstartuppysparkdata qualitydelta lake
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткие обязанности, современный стек Databricks и хороший набор льгот делают вакансию привлекательной, но зарплата не указана, а требование гражданства США заметно ограничивает круг тех, кто может претендовать на эту работу.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Databricks): Building and maintaining data pipelines and reusable datasets for federal analytics, reporting, and automation with an accent on Databricks, Python, PySpark, SQL, and data quality. Focus on validating source data, resolving discrepancies, documenting data products, and supporting production delivery across changing business needs.
Location: Fully remote within the United States. U.S. citizenship is required, along with eligibility to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.
Company
hirify.global is a Maryland startup developing automated applications and data products for government and other customers.
What you will do
Build, test, and support Databricks data pipelines using Python, PySpark, and SQL.
Move source-system data into layered, reusable Delta tables.
Validate source data, investigate discrepancies, and resolve data quality issues before reporting.
Document pipelines, table definitions, and business rules for engineers and analysts.
Own assigned work through delivery and production support while communicating risks and blockers.
Collaborate with stakeholders and senior engineers to clarify requirements and adopt tools as project needs change.
Requirements
Bachelor’s degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience.
At least 5 years of data engineering, data analysis, or related technical experience.
Hands-on Databricks pipeline experience, including notebooks, PySpark or Spark SQL, and Delta tables.
Proficiency in Python and SQL.
Understanding of ETL/ELT, data modeling, and data quality practices.
U.S. citizenship and eligibility for federal suitability, a PIV credential, and required system access.
Nice to have
Experience ingesting data through APIs.
Experience with Unity Catalog, Databricks Jobs or Workflows, and CI/CD deployment.
Experience with Google Cloud Platform.
Experience supporting a federal client.
Culture & Benefits
Comprehensive health, dental, and vision insurance.
Short-term disability and life insurance.
Matching 401(k) contributions, paid time off, 11 holidays, and a birthday holiday.
Professional development, fitness membership, and home office allocations.
Performance bonuses, profit sharing, and employee referral bonuses.
Employee-first culture focused on curiosity, authenticity, problem-solving, and professional growth.
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