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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:
Proficiencies:
Qualifications:
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:
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.
Full Time
Business Services
$119k-146k (estimate)
01/25/2024
05/18/2024
paulhastings.com
COSTA MESA, CA
1,000 - 3,000
1951
Private
MARILYN RADLEY
$500M - $1B
Business Services
Paul Hastings is a law firm that provides legal solutions tofinancial institutions and companies.
The job skills required for Data Engineer include SQL, Python, Data Engineering, Computer Science, Data Modeling, Data Quality, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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.
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.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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.