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Data Engineer
$112k-137k (estimate)
Full Time | IT Outsourcing & Consulting 4 Days Ago
Save

System Soft Technologies is Hiring a Data Engineer Near Fort Worth, TX

Data Analytics

Fort Worth, TX

$98 - 125K Range (Depending on experience)

Also an 8% Bonus (performance based)

3-5 years experience preferred in the analytical or financial services field.

Technical skills / abilities:

Strong technical aptitude. Familiarity with ETL processes, SQL, SAS, R highly preferred.

Leverage analytical tools to perform routine data collection, analysis and reporting of credit risk KPI’s (i.e., delinquencies, vintage losses rates, application conversion) to monitor and communicate trends of BorrowWorks’ loan portfolios.

Key Responsibility 1: Mine, model, analyze large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and analyzing customer behavior using the following predictive modeling techniques: linear/logistic regression, factor analysis, decision trees, clustering, segmentation, etc.

Key Responsibility 2: Build and validate a variety of statistical models, provides analytic support, and develops new criteria and/or strategies.

Key Responsibility 3: Perform product or other segment level analytics to analyze performance of existing products and assist with roll-out of new product policy and pricing strategies for various product offerings.

Key Responsibility 4: Implement credit models, rules, scorecards, and strategies into the company’s Decision Engine software that houses the Credit Policy. Work with internal IT resources to test and deploy new implementations.

Key Responsibility 5: Collaborate with other departments across the organization to drive improvement in quality, volume, service, and profitability.

Key Responsibility 6: Identify process improvement opportunities and involve in developing/executing projects

Education:

Bachelors degree in a quantitative subject. (Mathematics, Statistics, Economics preferred)

Required experience:

3-5 years experience preferred in the analytical or financial services field.

Technical skills / abilities:

Strong technical aptitude. Familiarity with ETL processes, SQL, SAS, R highly preferred.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$112k-137k (estimate)

POST DATE

06/18/2024

EXPIRATION DATE

07/16/2024

WEBSITE

sstech.us

HEADQUARTERS

LORTON, VA

SIZE

200 - 500

FOUNDED

1999

TYPE

Private

CEO

SYAM SISTLA

REVENUE

$50M - $200M

INDUSTRY

IT Outsourcing & Consulting

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About System Soft Technologies

SSTech is an IT consulting firm that provides paycheck protection, data operations and digital workspace solutions for businesses.

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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.

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 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.

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