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Senior Data Engineer – Data Quality Engineering
Senior Data Engineer – Data Quality EngineeringServiceNow • West Palm Beach, Florida, USA
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Senior Data Engineer – Data Quality Engineering

Senior Data Engineer – Data Quality Engineering

ServiceNow • West Palm Beach, Florida, USA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Were not yesterdays IT department were Digital Technology. The world around us keeps changing and so do we. Were redefining what it means to be IT with a mindset centered on transformation experience AI-driven automation innovation and growth. Were all about delivering delightful secure customer and employee experiences that accelerate ServiceNows journey to become the defining enterprise software company of the 21st century. And we love co-creating using and highlighting our own products to do it.

Ultimately we strive to make the world work better for our employees and customerswhen you work in ServiceNow Digital Technology you work for them.

Role

We are seeking a Senior Data Engineer to join our growing Data Quality Engineering team . In this role youll focus on enhancing our Python-based frameworks optimizing SQL queries and improving data access and performance within both the Snowflake and ServiceNow platforms. Youll also leverage JavaScript and related scripting tools to support automation data validation and integration workflows across systems.

As a Senior Data Engineer you will design and implement scalable high-performance data models and pipelines that power analytics dashboards and data science initiatives across the organization. Youll collaborate closely with data analysts product managers and fellow engineers to build reliable data solutions that enable business-critical insights and product telemetry analytics.

What you get to do in this role :

  • Develop and maintain robust Python frameworks for data processing quality validation and automation.
  • Write and optimize complex SQL queries for performance and scalability on the Snowflake platform.
  • Integrate and manage data workflows between ServiceNow Snowflake and other enterprise systems.
  • Utilize JavaScript for scripting automation and ServiceNow data management or customization tasks.
  • Design and implement efficient scalable data models that enable analytics and reporting across business functions.
  • Collaborate with cross-functional teams to deliver data-driven insights and ensure data quality and reliability.
  • Monitor troubleshoot and tune data pipelines and systems for optimal performance and cost efficiency.

Qualifications :

To be successful in this role you have :

  • Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.
  • Strong proficiency in Python and SQL with hands-on experience in performance tuning.
  • Working knowledge of JavaScript particularly for ServiceNow scripting and automation.
  • Experience with Snowflake and ServiceNow data models APIs and integration frameworks.
  • Solid understanding of data modeling ETL / ELT pipelines and data architecture best practices.
  • Familiarity with data governance and data quality frameworks.
  • Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.
  • #DTjobs

    JV20

    For positions in this location we offer a base pay of $140700 - $239200 plus equity (when applicable) variable / incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

    Additional Information :

    Work Personas

    We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

    Equal Opportunity Employer

    ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

    Accommodations

    We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance.

    Export Control Regulations

    For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

    From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.

    Remote Work : Yes

    Employment Type : Full-time

    Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Experience : years

    Vacancy : 1

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