Job Description

Summary

The Senior Data Engineer is a critical role that will lead technical projects and provide mentoring to team members to accomplish complex tasks. You will build libraries and distributed services to support multiple data analytics teams and business intelligence engineers reliably and at scale using AWS cloud environments. Provide cutting edge, reliable, and easy to use systems for ingesting and processing data and help the teams that build data intensive applications be successful. This role will lead and collaborate with many cross functional teams across the entire organization on the planning, execution, and successful completion of technical projects with the ultimate purpose of improving customer experience. The Senior Data Engineer will build and maintain batch and real-time data flows used for business intelligence, analytics, and machine learning within all organizations across Workiva, including storing and exposing data via a Database, Data Lake, and other APIs. This role will work primarily with other Data Engineers, but also Data Scientists, ML Engineers, and business partners to ensure quality, reliability and performance at the highest level.

What You'll Do

Design and develop data extraction and integration code modules for batch and incremental data flow from various data sources using new and existing patterns
Use new and existing tools and processes to deploy to integration and production environments. Lead the development and maintenance of the deploy processes.
Improve the health of the data ecosystem by ensuring complete monitoring of the system, defining alerts on critical failure points and improving data quality by working with data owners and business partners.
Test software, validate data and write automated tests (unit, integration, functional, etc.).
Review peer code and submit good & complete feedback based on team standards for correctness.
Triage and resolve production issues. Communicate the status with all levels of business partners and organizations within Workiva. Escalate as needed.
Design data lake storage and access patterns to match customer requirements, conform to naming standards and implement industry best practices.
Understand the data at a deep level and apply security appropriately. Inspect emerging use cases, non standard access patterns and encryption requirements to apply security that may not exist within current security guidelines.
Tune processes and SQL to reduce cost and wait time. Design systems to balance data volume, latency and customer requirements. Identify what areas of the system need attention.
Work with business partners to write requirements, understand unwritten requirements and test deployed code.
Join rotation to support production workflows during off hours.
Assist the Product Owner in defining the direction of the data product in Workiva.
Keep up with industry standards in new technology and how it applies to Workiva.

What You'll Need

Education

Undergraduate Degree or equivalent combination of education and experience in a related field.
Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline

Experience

4+ years of relevant experience in the data engineering role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions
2-3 years of previous statistics experience preferred
Experience in big data processing and using databases in a business environment with large-scale, complex datasets. (SQL, Hadoop, Spark, Flink, Beam etc)
Extensive experience using business intelligence reporting tools. (QuickSight, Tableau, Splunk etc.)
Extensive knowledge of SQL query design and tuning for performance and accuracy
Experience with Python, R, or other data relevant scripting languages preferred
Experience in working with Data Lakes and exposing data for multiple different access needs
Experience in an Agile/Sprint working environment preferred

Skills

Proficient research skills to locate market information using numerous internal and external sources of data
Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
Excellent planning and organizing skills to prioritize numerous projects and ensure data is delivered in an accurate and understandable manner to the end user

Travel Requirements

Less than 10%

Working Conditions & Physical Requirements

Reliable internet access for any period of time working remotely, not in a Workiva office.

How You'll Be Rewarded

Base Pay Range in Colorado: $118,000 - $168,000
A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire

The base pay range represents the low and high end of the hiring range for this job. Actual pay will vary and may be above or below the range based on various factors including but not limited to relevant skills, experience, and capabilities.

Where You’ll Work

Our values drive how we work and who we hire. You will see these values ingrained in how we support our customers, work with team members, build our products and in the work environment we’ve created.

Customer Success:  Always delight our customers.
Trust: Rely on each other. 
Integrity: Do the right thing, every time. 
Collaboration: Share resources and work together. 
Innovation: Keep creating solutions and finding better ways. 
Inclusion: Support a diverse community where we all belong. 
Accountability: Be responsible for your success and failure.

We believe our people are our greatest asset, and our unique culture gives employees the opportunity to make an impact everyday. We give our employees the freedom and resources they need—backed by our culture of collaboration and diverse thought—to continue innovating and breaking new ground. We hire talented people with a wide range of skills and experiences who are eager to tackle some of today’s most challenging problems.

At Workiva, you’ll enjoy: 

Fantastic Benefits: With coverage starting day one, choose from competitive health, dental, and vision plans on the largest physician networks available.
Casual Dress: Workiva has a casual work environment, most people wear jeans to the office.
Involvement: Ability to participate in Employee Resource Groups, (Women in Tech, Women in Sales, Ethnic Diversity, Veterans, Rainbow (LGBTQ), Remote Employees, Caregiving) Volunteering, Company wide celebrations, and more
Work-life Balance: We have competitive PTO, VTO and Parental Leave. We encourage employees to spend time enjoying life outside of work.