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Data Engineer
LendingTree Seattle, WA
$103k-127k (estimate)
Full Time | Lending & Credit 7 Months Ago
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LendingTree is Hiring a Data Engineer Near Seattle, WA

*PLEASE NOTE: We offer a hybrid 3-2 work schedule at our Seattle office -- (Three days in the office, two days of teleworking) to accommodate the need for flexibility.

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

QuoteWizard by LendingTree is seeking a Data Engineer to join our Data Engineering team. We have an exciting opportunity to deliver a near real-time data lake and low-latency data warehouse using world class cloud data tools and platforms including Snowflake. Data Engineering provides a solid data foundation for analytics and machine learning teams that drive business decisions and strategy that power customer journeys across multiple CRM platforms.

We are seeking a data engineer who will be passionate about data engineering, building streaming data pipelines, and will partner with our business, technology architects and operations, software engineers, analysts, data scientists, and senior leaders to develop and implement solutions to meet critical data/analytic related business needs and capabilities, while implementing technologies, platforms, and tools aligned to LendingTree’s data strategy.

RESPONSIBILITIES

  • Create real-time streaming data solutions.
  • Implement large scale, high-performance data analytics, and data integration platforms.
  • Design and develop ETL solutions.
  • Design and develop frameworks and other approaches for rapid development of high-quality data and reporting solutions.
  • Perform complex data analysis to identify trends, patterns, and opportunities.
  • Design, develop, and support database applications spanning multiple lines of business.
  • Consult on database design and code reviews across the organization as needed.
  • Evaluate performance and perform appropriate troubleshooting as necessary.
  • Work with business users to understand project requirements and resolve issues.
  • Craft and maintain technical documents including educational materials, standards, and best practices.
  • Participate in on-call rotation for off-hours support.
  • Collaborate effectively across various departments and teams to implement solutions.
  • Collaborate on the product roadmap for data engineering to define capabilities of the platforms and services and delivery timelines.

QUALIFICATIONS

  • 5 years of experience in data warehousing, ETL development, analytics, and writing and debugging complex SQL queries.
  • Experience with highly scalable, distributed platforms.
  • Experience designing and implementing data lakes and data warehouses.
  • Knowledge of data warehousing industry standards and standard methodologies.
  • Understand dimensional database modeling.
  • Excellent data presentation skills, utilizing dashboards and other technologies.
  • Excellent verbal and written communication skills.
  • Design and implement projects with minimal guidance.
  • Experience with Agile methodologies.
  • Dedication to being a phenomenal teammate - sharing success and struggles equally.
  • Experience collaborating with other data engineers by sharing knowledge, pairing, mobbing, designing solutions together, and code reviewing one another’s work.
  • Passion for learning and implementing new tools and supporting standard methodologies.

PREFERRED EXPERIENCE

  • S. in Computer Science, Mathematics or equivalent
  • Experience working with Snowflake
  • Experience with data visualization tools, such as Power BI
  • Experience working with modern ETL tools
  • Experience with scripting languages like PowerShell
  • Experience with programming languages such as Python, C#
  • Experience with Git/GitHub/GitLab
  • Experience with Azure Dev Ops/Jira

COMPANY

QuoteWizard, a LendingTree company, is a dynamic insurance lead generation agency based in Seattle. We have been ranked by the INC 500 as one of the fastest growing private companies in the nation. We have also been listed by the Puget Sound Business Journal as a top company in Seattle.

What you should know about LendingTree, our parent company:

  • We’re a publicly-traded company (TREE).
  • We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
  • We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.

The base pay range for this position in Colorado/New York/California is $50,000 however, base pay offered may vary depending on job-related knowledge, skills, and experience 

Incentive Compensation: Eligible for commission 

Benefits: Medical, dental, vision insurance and 401(k) matching

CULTURE

We’re a fast-paced company with an entrepreneurial bend. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but please, do wear clothes to work!), and we’re pretty good about rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”).

Come work with us!

QuoteWizard by LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Lending & Credit

SALARY

$103k-127k (estimate)

POST DATE

09/28/2022

EXPIRATION DATE

05/22/2024

WEBSITE

tree.com

HEADQUARTERS

CHARLOTTE, NC

SIZE

500 - 1,000

FOUNDED

2007

TYPE

Private

CEO

ANTHONY HSIEH

REVENUE

$200M - $500M

INDUSTRY

Lending & Credit

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The job skills required for Data Engineer include SQL, Python, Data Engineering, Data Warehouse, Computer Science, Machine Learning, 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.

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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 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.

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