200+ applicants

Company

Original Job Post

Paul Hastings · 5 days ago

Data Engineer

New York, United States

Full-time

Onsite

Entry, Mid Level

$112K/yr - $162K/yr

5+ years exp

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Responsibilities

Design, construct, test and maintain data architectures and data pipelines;

Ensure our data architecture supports the requirements of the business;

Develop custom data models and algorithms to apply to data sets;

Assess the effectiveness and accuracy of new data sources and data gathering techniques. Discover opportunities for data acquisition;

Develop data set processes for data modeling, mining and production;

Employ a variety of languages and tools to marry systems together;

Recommend ways to improve data reliability, efficiency and quality;

Leverage large volumes of data from internal and external sources to answer business demands;

Introduce automation through effective metadata management and using innovative and modern tools and techniques. Partially or completely automate the most common and repeatable data preparation and integration tasks;

Propose appropriate data ingestion, preparation, integration and operationalization techniques in addressing data requirements;

Lead the development of data governance policies and best practices for consumers and users of data we provision;

Coordinate with different functional teams to implement models and monitor outcomes; and

Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data managementData integrationData modelingData optimizationData qualityAnalytical skillsIssue resolutionInformation analysisCommunicationProblem solvingHighly effective collaborationFinancial industry dataLegal industry data

Required

Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience

At least five years’ experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks

At least three years’ experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative

Excellent communication and collaboration skills

Excellent problem solving and analytical skills

Must be highly effective within a collaborative environment

Must be able to independently resolve issues and efficiently self-direct work activities based on the ability to capture, organize, and analyze information

Preferred

Experience with financial and legal industry data is a plus

Benefits

Medical

Dental

Vision

Life/AD&D

Long Term Care

Short and Long Term Disability

Flexible Spending Account

Health Savings Account

Healthcare Concierge and Advocacy

Profit Sharing

10 Paid Holidays per year

Generous PTO program

Family Support including Pediatric Mental Health and Parental Support

Paid Parental Leave

Fertility Benefits

Breast Milk Shipping

Back-up Child Care

Elder Care

Tutoring

Wellness Programs

Retirement Plan Consulting

Anniversary Bonus Program

Professional Development Programs

Transportation Allowance

Commuter Benefits

International Travel Insurance

Auto/Home/Legal Insurance

Pet Insurance

Employee discounts

Company

Paul Hastings

Glassdoor

3.5

Paul Hastings is an international law firm that provides legal solutions to many financial institutions and Fortune 500 companies.

Founded in 1951

Los Angeles, California, USA

1,001-5,000 employees

http://www.paulhastings.com/

H1B Sponsorship

Paul Hastings 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)

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Trends of Total Sponsorships

2023 (11)

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2020 (12)