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14 часов назад

Data Platform Engineer (Python, PySpark)

Формат работы
hybrid
Тип работы
project
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Platform Engineer (Python, PySpark) (Financial Crimes Data Platforms): Building scalable batch and streaming data pipelines for AML, investigations, sanctions, fraud, and KYC use cases with an accent on data transformations, quality controls, and large-scale performance optimization. Focus on modernizing legacy solutions, developing machine learning models, and ensuring auditability in regulated environments.

Location: Charlotte, NC 28202, United States; hybrid schedule with 3 days on site and 2 days remote

Company

hirify.global is offering a contract opportunity supporting financial crimes technology initiatives.

What you will do

  • Build and maintain batch and streaming data pipelines for AML, investigations, sanctions, fraud, and KYC use cases.
  • Develop and optimize data transformations using Python and PySpark for large-scale datasets.
  • Design data models, mappings, and curated datasets with business and technical stakeholders.
  • Ingest data from transactional systems, case management platforms, and reference data sources.
  • Implement data quality checks, reconciliation processes, controls, and audit-ready documentation.
  • Contribute to legacy-solution migration, platform modernization, and Agile delivery using Jira.

Requirements

  • 5+ years of experience in data engineering, ETL development, or data platform development.
  • Strong hands-on experience with Python, PySpark or Apache Spark, and advanced SQL.
  • Experience developing, training, and tuning machine learning models.
  • Experience with large-scale datasets, performance optimization, data modeling, lineage, metadata, and governance.
  • Experience supporting regulated environments with controls and audit-readiness requirements.
  • Must work in a hybrid schedule in Charlotte, NC, with 3 days on site and 2 days remote.

Nice to have

  • Experience with AWS, Azure, or GCP and technologies such as S3, ADLS, GCS, Spark clusters, or Databricks.
  • Experience with Airflow, Kafka, Databricks, Snowflake, or BigQuery.
  • Experience with CI/CD, Git, automation, release management, encryption, access controls, data masking, and PII handling.
  • Prior experience in AML, transaction monitoring, investigations, sanctions screening, fraud, KYC, or related risk and compliance functions.

Culture & Benefits

  • 12+ month contract opportunity.
  • W2 employment only; C2C is not eligible.
  • Visa sponsorship is available.
  • Work within an Agile delivery framework alongside engineering and business stakeholders.

Hiring process

  • Contract engagement under reference number 245800.

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