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3 дня назад

Mid-Level/Lead Data Engineer (Python, AWS, Spark)

85 500 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/lead
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
Mid-Level/Lead Data Engineer (Python, AWS, Spark): Building and scaling reliable analytical data products and pipelines for property and casualty insurance with an accent on automated ETL, distributed processing, cloud-native AWS services, and compliant data solutions. Focus on designing scalable data architectures, integrating structured and unstructured data, and solving complex data engineering challenges across enterprise platforms.

Location: Hybrid in Richardson, Texas; candidates must live within close proximity to the hub and work both from home and in the office. Applicants must be eligible to work lawfully in the U.S.; visa sponsorship is not available.

Salary: $85,500–$130,000 per year, plus potential yearly incentive pay of up to 15% of base salary.

Company

hirify.global is an insurance company focused on helping customers, supporting communities, and delivering technology-enabled business solutions.

What you will do

  • Build and scale reliable data products and pipelines supporting analytics, business decisions, growth, and customer retention.
  • Develop reusable, scalable, secure, and compliant data solutions across platforms and compute environments.
  • Acquire, cleanse, profile, transform, and load data for analytical discovery and production deployments.
  • Design, deploy, support, and secure data technology in accordance with industry practices and regulations.
  • Partner across teams to analyze technical needs, recommend solutions, and develop implementation and integration plans.
  • Evaluate emerging data engineering technologies, tools, platforms, and data sources.

Requirements

  • Professional experience as a Data Engineer.
  • Programming experience with Python, Spark SQL or PySpark, R, Java, or Bash.
  • Hands-on AWS experience with services including Glue, EMR Serverless, Lambda, Step Functions, EventBridge, S3, DynamoDB, Kinesis Firehose, Redshift, Iceberg, and SageMaker.
  • Experience with Apache Spark or Databricks, infrastructure as code such as OpenTofu or Terraform, CI/CD, automated testing, security scans, and Airflow.
  • Experience with relational databases, SQL, Athena, GitHub or GitLab, and automated data pipeline design and maintenance.
  • Knowledge of data modeling and architecture, including star and snowflake schemas; ability to develop property and casualty data domain knowledge.

Culture & Benefits

  • Collaborative Enterprise Technology environment focused on meaningful business impact.
  • Health, dental, vision, telemedicine, mental health, and wellbeing programs.
  • Training, tuition assistance, mentoring, and employee resource groups.
  • Paid time off, holidays, parental leave, bereavement leave, and community service or education support days.
  • Annual raises, bonuses, financial coaching, and a 401(k) plan with company contributions of up to 7%.

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