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Sidley Austin LLP · 4 hours ago

Data Engineer

Chicago, IL

Full-time

Onsite

Mid Level

$129K/yr - $144K/yr

3+ years exp

Sidley Austin LLP is a law firm seeking a Data Engineer to build and maintain data pipelines and infrastructure for analytics and machine-learning initiatives. The role involves collaborating with senior engineers and cross-functional teams to transform raw data into reliable datasets that support business decisions and innovative products.

AdviceConsultingFinanceFinancial ServicesLegal

Comp. & Benefits

H1B Sponsor Likely

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

Qualification

Data engineering experiencePythonSQLApache SparkETL/ELT processesData modelingSchema designCloud data platformsData visualizationCommunication skillsProblem-solving skillsOrganizational skills

Required

Bachelor's 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

Benefits

Bonus eligibility

Comprehensive benefits program

Company

Sidley Austin LLP

Glassdoor4.1

Sidley is an elite global law firm.

Founded in 1866

Chicago, Illinois, USA

1001-5000 employees

http://www.sidley.com

H1B Sponsorship

Sidley Austin LLP has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (51)

2024 (36)

2023 (17)

2022 (33)

2021 (20)

2020 (23)