Senior Data Engineer, Workiva

$111-178k

+ A discretionary bonus typically paid annually and Restricted Stock Units granted at time of hire

SQL
Python
Kafka
Snowflake
dbt
Senior and Expert level
Remote in US

More information about location

Workiva

Business data platform

Open for applications

Workiva

Business data platform

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Open for applications

$111-178k

+ A discretionary bonus typically paid annually and Restricted Stock Units granted at time of hire

SQL
Python
Kafka
Snowflake
dbt
Senior and Expert level
Remote in US

More information about location

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Company mission

Workiva’s mission is to power transparent reporting for a better world.

Role

Who you are

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

Desirable

  • 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

What the job involves

  • 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
  • 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
  • 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
  • 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
  • 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

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Insights

5% employee growth in 12 months

Company

Company benefits

  • A discretionary bonus typically paid annually
  • Restricted Stock Units granted at time of hire
  • 401k w/ match
  • Health, dental, and vision
  • Vacation accruals
  • Life and disability insurance
  • Employee stock purchase plan
  • Volunteer time-off
  • Parental leave
  • Travel & accident insurance
  • Paid holidays
  • Work remotely
  • Discount programs
  • Health and wellness
  • Pet-friendly atmosphere
  • Choose from additional plans that cover legal expenses, stolen identity, or even your pet's health

Funding (last 2 of 4 rounds)

Oct 2014

$0.7m

EARLY VC

Dec 2012

$30.7m

SERIES C

Total funding: $46.9m

Our take

For large-scale businesses, collecting and sharing data can be a complex and challenging process. Workiva solves this problem with its cloud-based data platform.

Workiva is one of the biggest players in the market, serving around 75% of Fortune 500 companies, including Google and Delta. Workiva's controlled, secure and audit-ready platform has maintained a clear edge over much of its competition.

Workiva's quality product and its commitment to transparency has made it a firm favourite with companies around the world. If it can maintain this, it stands to consolidate its impressive growth even further in the coming years.

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Kirsty

Company Specialist at Welcome to the Jungle