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15 часов назад

Senior Data Engineer (AI)

95 000 - 135 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Python/SQL): Building scalable ETL pipelines and modern data-platform capabilities for financial forecasting, risk analytics, and customer insights with an accent on distributed processing, data governance, and compliance. Focus on architecting batch and real-time workflows, automating data quality and integrity, and evaluating emerging technologies across cloud data infrastructure.

Location: US Remote

Salary: $95,000–$135,000 per year

Company

Builds SaaS-based data capabilities that support financial forecasting, risk analytics, customer insights, and enterprise operations.

What you will do

  • Design, build, implement, and maintain scalable ETL pipelines using structured and unstructured data from diverse sources.
  • Architect and scale a modern data platform for real-time and batch processing.
  • Write complex SQL queries and develop reliable data models and workflows for analytics and business operations.
  • Build automated tools using artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data.
  • Partner with engineering, data science, analytics, product, finance, sales, and compliance stakeholders to translate business requirements into technical solutions.
  • Evaluate emerging technologies and lead proofs of concept that improve the data stack, automation, security, and continuous delivery.

Requirements

  • 6–8 years of experience in data engineering, with a strong focus on financial systems on SaaS platforms.
  • Deep expertise in Python, SQL, and distributed processing frameworks such as Apache Spark and Databricks.
  • Experience with cloud-based data platforms, preferably AWS or Azure, and warehouses including Snowflake, Redshift, BigQuery, or Databricks.
  • Hands-on experience with orchestration tools such as Airflow or dbt and data formats including Delta, JSON, Parquet, and Avro.
  • Strong understanding of data security, privacy, governance, quality, lineage, and compliance in a financial-services context.
  • Bachelor’s or master’s degree in computer science, engineering, or a related field; familiarity with Salesforce, NetSuite, and Anaplan data modeling is required.

Nice to have

  • Experience improving enterprise processes and reducing costs through data.
  • Experience democratizing data at enterprise scale.
  • Experience influencing senior internal partners and working independently on complex problems.

Culture & Benefits

  • Remote work arrangement for US-based employees.
  • Medical, dental, vision, life, and disability insurance.
  • Flexible paid time off and paid holidays.
  • 401(k) plan with company match.
  • Offer process includes a comprehensive background check, credit check, and drug test.

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