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Workiva

Senior Data Engineer

Posted 10 Days Ago
Remote
Hiring Remotely in USA
111K-178K Annually
Senior level
Remote
Hiring Remotely in USA
111K-178K Annually
Senior level
The Senior Data Engineer will design, develop, and optimize data platforms, ensuring high performance and scalability, while mentoring team members and driving operational excellence.
The summary above was generated by AI

Workiva is seeking a Senior Data Engineer to help build and operate our cutting-edge self-service data platform. This platform enables teams across the organization to seamlessly ingest, transform, and serve data for applications, analytics, and AI/ML use cases.

In this role, you'll design, develop, and optimize scalable platform components across ingestion, transformation, and serving layers. You’ll take on complex challenges, drive operational excellence, and influence the strategic direction of our data platform, ensuring it remains reliable, efficient, and scalable.

What You'll Do

Platform Development

  • Design and develop scalable data ingestion pipelines using tools like Airbyte, Kafka, and Snowflake (Snowpipe, streaming, and external tables)

  • Build modular, maintainable transformations using dbt, following best practices for testing, versioning, and lineage tracking

  • Optimize data serving layers to deliver high-performance data products via Snowflake and visualization tools like Superset

  • Develop APIs and automation scripts to enhance the self-service experience for platform users

Operational Excellence

  • Implement monitoring, alerting, and observability solutions to ensure platform reliability and performance

  • Optimize resource usage and costs through strategic pipeline design, materialization strategies, and system tuning

  • Troubleshoot and resolve production issues, contributing to incident management and platform stability

Collaboration & Leadership

  • Work closely with cross-functional teams, including data analysts, application engineers, and infrastructure teams, to understand and support platform requirements

  • Mentor and guide team members on best practices, code quality, and scalable architecture

  • Participate in code reviews, architectural discussions, and design sessions to maintain high engineering standards

Innovation & Strategy

  • Stay up-to-date with advancements in data engineering, AI/ML, and platform technologies to drive innovation

  • Identify opportunities for platform improvements and contribute to the roadmap

  • Advocate for scalable, forward-thinking solutions to meet evolving business needs

What You'll Need

Required Qualifications

  • 5+ years of experience in data engineering, platform engineering, or a related field

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field—or equivalent professional experience

Preferred Qualifications

  • Proven expertise in designing and operating modern data pipelines using tools like Airbyte, Kafka, dbt, and Snowflake

  • Strong background in building scalable, production-grade data solutions

  • Proficiency in SQL and Python, including experience building reusable libraries and automation

  • Strong understanding of data modeling, transformation workflows, and performance optimization

  • Hands-on experience with CI/CD workflows, GitOps, and infrastructure as code

  • Analytical problem-solving skills with a focus on delivering reliable, high-quality solutions

Travel Requirements & Working Conditions

  • For remote working opportunities, a stable internet connection is required

  • Occasional travel may be needed for team meetings, conferences, or company events

How You’ll Be Rewarded

✅ Salary range in the US: $111,000.00 - $178,000.00

✅ A discretionary bonus typically paid annually

✅ Restricted Stock Units granted at time of hire

✅ 401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer.  We believe that great minds think differently.  We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation.  Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic.  We strongly encourage and welcome people from historically marginalized groups to apply.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].
 

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

#LI-HS1

Top Skills

Airbyte
Ci/Cd
Dbt
Gitops
Kafka
Python
Snowflake
SQL

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