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 from US

More information about location

Software for sustainability, GRC & financial reporting

Job no longer available

Software for sustainability, GRC & financial reporting

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Job no longer available

$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 from US

More information about location

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Company mission

To power transparent reporting for a better world.

Job

Company

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

Our take

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

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

5% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 4 rounds)

Oct 2014

$0.7m

EARLY VC

Dec 2012

$30.7m

SERIES C

Total funding: $46.9m

Company HQ

Ames, IA

Leadership

Julie Iskow

(CEO)

Julie joined Workiva in 2019 sa COO/President and became CEO in 2023. Previously, she served as the CTO at Medidate Solutions and as the CIO at WageWorks.

David Haila

(CTO)

David has been at Workiva since 2009, joining the team as a Senior Software Engineer. Since then, he has held a number of roles and became CTO in 2023.

Jill Klindt

(CFO & EVP)

Jill has been at Workiva since 2008, joining as a Controller before holding a number of roles and becoming CFO & EVP in 2023. Previously, she held Financial roles at Financial Intelligence, Wells Fargo Financial, CitiMortgage, and Principal Financial Group.

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