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Data Engineer
Data EngineerSidley Austin LLP • Chicago, Illinois, USA
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Data Engineer

Data Engineer

Sidley Austin LLP • Chicago, Illinois, USA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Summary

The Data Engineer will help build and maintain the data pipelines models and infrastructure that power analytics business-intelligence and machine-learning initiatives across the company. Youll work alongside senior engineers and cross-functional partners to turn raw data into reliable well-documented datasets that drive informed decisions and innovative products. This role reports to the Senior Manager Data Engineering.

Duties and Responsibilities

  • Design develop and maintain robust scalable data pipelines and ETL / ELT processes ensuring efficient ingestion transformation and storage of data.
  • Build and optimize data models and schemas for analytics reporting and operational data stores
  • Implement and maintain data quality frameworks including data validation monitoring and alerting mechanisms.
  • Collaborate closely with data architects data analysts BI engineers and product teams to align data engineering activities with business goals.
  • Contribute to CI / CD pipelines supported by version control linting automated testing security scanning and monitoring
  • Troubleshoot and resolve complex data infrastructure and pipeline issues ensuring minimal downtime and optimal performance.
  • Follow coding standards participate in code reviews and document your work to foster knowledge sharing.

Salaries vary by location and are based on numerous factors including but not limited to the relevant market skills experience and education of the selected candidate. If an estimated salary range for this role is available it will be provided in our Target Salary Range section. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found at Salary Range

$129000 - $144000 if located in Illinois

Qualifications

To perform this job successfully an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge skill and / or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation please email (current employees should contact Human Resources).

Education and / or Experience :

Required :

  • Bachelors degree in Computer Science Engineering Data Science or a related field
  • A minimum of 3 years of hands-on experience in data engineering building scalable data pipelines ETL / ELT processes
  • Proficiency with Python SQL and Apache Spark for data processing
  • Familiarity with cloud data-platform components such as object storage metadata / data catalog services batch / streaming / CDC ingestion & processing
  • Proven experience with data modeling schema design and performance tuning of large-scale data systems
  • Experience working with AI & BI engineers to deliver high-quality data products to stakeholders
  • Skilled at crafting compelling data narratives through tables reports dashboards and other visualization tools
  • Understanding of data engineering best practices : code repositories CI / CD pipelines test automation monitoring and alerting systems
  • Strong problem-solving and analytical skills with excellent attention to detail
  • Excellent communication skills and experience collaborating with technical and business stakeholders
  • Preferred :

  • Experience building data pipelines in an Azure Databricks environment
  • Familiarity with Infrastructure as Code (IAC)
  • Experience working with regulated / sensitive data and controls
  • Experience working in an Agile delivery model
  • Other Skills and Abilities :

    The following will also be required of the successful candidate :

  • Strong organizational skills
  • Strong attention to detail
  • Good judgment
  • Strong interpersonal communication skills
  • Strong analytical and problem-solving skills
  • Able to work harmoniously and effectively with others
  • Able to preserve confidentiality and exercise discretion
  • Able to work under pressure
  • Able to manage multiple projects with competing deadlines and priorities
  • Sidley Austin LLP is an Equal Opportunity Employer

    #LI-Hybrid

    #LI-OE1

    Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Unclear

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 129000 - 144000

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