Data Engineer

Denver, CO, United States

WTW

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We are seeking a Data Engineer to join our dynamic team. The ideal candidate will have a robust background in data engineering, with a proven track record of designing and implementing efficient data pipelines and systems. This role will play a significant part in transforming and optimizing our data architecture to support our data-driven strategy.

Key Responsibilities

• Develop and maintain scalable data pipelines and systems using Scala, Python, Spark, and Databricks to process and manage large-scale datasets.
• Design and implement unified data models with enterprise-wide consistency in key naming conventions, data types, and transformation functions.
• Optimize operations in Spark for handling large, unstructured, and nested datasets by implementing efficient data structuring and processing techniques.
• Collaborate with data science and analytics teams to create and refine data processes that enhance decision-making and align with business goals.
• Lead initiatives to streamline and enhance data quality monitoring systems.

 

• Extensive experience as a Data Engineer, with a focus on Python programming in Spark/Databricks environments.
• Proven expertise in designing and optimizing large-scale data pipelines, ETL processes, and data lakes.
• Strong background in cloud platforms, ideally Azure, with hands-on experience managing cloud-based data infrastructure.
• Demonstrated ability to convert legacy systems into modern Spark/Databricks platforms, improving efficiency and performance.
• Excellent problem-solving skills with the ability to troubleshoot and resolve complex data issues.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.

Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.  
This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified

Compensation and Benefits 

Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

Compensation

The base salary compensation range being offered for this role is $150,000 to $170,000 USD per year.

The role is also eligible for an annual short-term incentive bonus.

Company Benefits

WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
  • Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off 
  • Retirement Benefits: Contributory Pension Plan and Savings Plan (401k). Certain senior level roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.

EOE, including disability/vets

 

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Category: Engineering Jobs

Tags: Architecture Azure Databricks Data pipelines Data quality Engineering ETL Pipelines Python Scala Spark

Perks/benefits: 401(k) matching Career development Competitive pay Flexible spending account Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Transparency

Region: North America
Country: United States

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