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Data Engineer
Paul Hastings LLP New York, NY
$119k-146k (estimate)
Full Time | Business Services 3 Months Ago
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Paul Hastings LLP is Hiring a Data Engineer Near New York, NY

Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. With a strong presence throughout Asia, Europe, Latin America, and the U.S., we have the global reach and extensive capabilities to provide personalized service wherever our clients' needs take us. As one of the world's leading law firms, we seek dynamic individuals who share our commitment to service, innovation, and professional growth.

We have an opening for a Data Engineer.

The Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. The Data Engineer is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up. This individual will support our software developers, architects, and data owners across various data initiatives and ensures an optimal and consistent data delivery architecture. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

In this capacity, the Data Engineer will:

  • 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.

Proficiencies:

  • Demonstrates knowledge of the following processes, tools or applications;
  • Experienced in designing, building and managing data pipelines for data structures;
  • Expertise with advanced analytics tools for Object-oriented/object function scripting. Includes languages such as C#, Python and others
  • Expert in SQL, PL/SQL, SSIS and SSAS;
  • Knowledge and/or certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra, and others for non-relational databases;
  • Experienced working with large, heterogeneous data sets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies;
  • Experienced working with popular data discovery, analytics and BI software tools such as Tableau, Power BI and others;
  • Experienced working with data governance/data quality and data security teams;
  • Experienced employing Microsoft MDM (Master Data Management) and MDS;
  • Ability to troubleshoot complicated issues across multiple systems and driving solutions;
  • Effectively convey technical concepts to non-technical individuals;
  • Demonstrate a high level of Data Security Awareness; and
  • Experience with financial and legal industry data is a plus.

Qualifications:

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

Employees will be provided with an excellent career opportunity in a collaborative environment, in addition to a generous total compensation package with the opportunity to earn bonuses based on individual contribution and firm profitability.

The salary wage range that we expect to pay for this position is a minimum of $112,300 and a maximum of $162,500 annually. The actual pay wage may vary based on experience or other relevant factors.

Eligible employees can participate in the Firm's comprehensive benefits program, which include the following:

  • Medical, Dental, Vision, Life/AD&D, Long Term Care, and Short and Long Term Disability
  • Flexible Spending Account and Health Savings Account
  • Healthcare Concierge and Advocacy
  • Voluntary 401k Plan and Profit Sharing
  • 10 Paid Holidays per year and a generous PTO program
  • Family Support including Pediatric Mental Health and Parental Support, Paid Parental Leave, Fertility Benefits, and Breast Milk Shipping
  • Back-up Child Care, Elder Care, and Tutoring
  • Wellness Programs (Employee Assistance Program, Mental Health, and Well-Being Events)
  • Retirement Plan Consulting
  • Anniversary Bonus Program
  • Professional Development Programs
  • Transportation Allowance and Commuter Benefits
  • International Travel Insurance
  • Auto/Home/Legal Insurance
  • Pet Insurance
  • Employee discounts
  • And more!

The Firm has a range of diversity initiatives including our Paul Hastings Affinity Networks (PHANs), Women's Initiative, and PH Balanced. These initiatives provide a firmwide forum to share experiences, as well as an opportunity to participate in a supportive network with common interests to help make life at the firm more inclusive. Learn more about our Global Diversity, Inclusion and Wellness Initiatives here.

Paul Hastings LLP is an equal employment and affirmative action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$119k-146k (estimate)

POST DATE

01/25/2024

EXPIRATION DATE

05/18/2024

WEBSITE

paulhastings.com

HEADQUARTERS

COSTA MESA, CA

SIZE

1,000 - 3,000

FOUNDED

1951

TYPE

Private

CEO

MARILYN RADLEY

REVENUE

$500M - $1B

INDUSTRY

Business Services

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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