👋  Hi, I’m John - Data Team Manager here at Dwolla.  I’m looking for an analytical, empathetic data engineer who loves trouble-shooting and working in a fast-paced, collaborative, diverse Engineering team. 

You will lead the efforts to leverage the data we hold to its maximum value.  Our Dwolla API platform processes billions of dollars in payment every month on behalf of millions of users.  Using this date, you will assist the rest of Dwolla in making the most informed decisions possible. 

This includes executing a technical vision for cutting-edge AWS-based data pipelines.  Additionally, you can expect to support new product offerings and data science efforts while also ensuring deployed systems uphold required levels of performance.

Experience working with infrastructure-as-code and CI/CD systems (such as Terraform, Troposphere, Cloudformation, Jenkins) and experience with Microsoft SQL Server administration (especially high-availability setups) would be clutch for this position 🎉, as these are also included in the responsibilities of this role. 

You can expect to spend about 60% building and growing the Dwolla data lake and data pipelines and about 10% of your time defining and implementing DataOps methodologies.  Additionally, 20% of your time will be spent writing and optimizing queries and reports. Lastly, you’ll spend about 10% of your time supporting and monitoring existing databases. Our team values collaboration, a passion for learning and a desire to become a master of your craft.  We thrive in asynchronous communication.  You will have a lot of support from leadership when you communicate proactively with detailed information about any roadblocks you may encounter.   

🔥 You are a driven, self-starter type of person who isn’t afraid to dig for answers, stays up-to-date on industry trends and is always looking for ways to enhance your knowledge (yes, industry-related podcasts count! 🎧) .

💡Your skill set includes a blend of DataLake-related technologies in AWS (Redshift, Glue, Athena would be great!)

🖥️  Experience with Python and Scala would be amazing!  (Perhaps you’ve got a software engineering background?)

What’s expected of a Data Engineer II at Dwolla?

• Design, build, monitor, and maintain infrastructure-as-code AWS-based data pipelines to support both internal and client-facing use cases 
• Write and optimize Python code for ETL and other jobs to populate the Dwolla Data Lake and integrate with Salesforce (and related tools)
• Help implement the principles and technologies for a Data Lifecycle to enable application of CI/CD principles to data problems while ensuring integrity, security, privacy, and performance
• Support the Technology department’s use of a combination of AWS database technologies through implementations, troubleshooting, and maintenance
• Partner with other engineers and data scientists in writing and optimizing queries or developing performant schemas with consideration for stability, security and privacy
• Assist other Engineers in supporting a highly-available Microsoft SQL cluster including user management, patching, backups, and performance troubleshooting
• Contribute to plans and exercises to ensure databases and data pipelines are resilient to outages and recoverable in the event of a disaster
• Communicate technical decisions through RFCs, design docs, technical training, and the wiki
• Partners with other engineers via pairing, design review, and code review

What are the preferred qualifications for this position?

• Basic knowledge of relevant AWS technologies for the purposes of building data pipelines and executing extract, transform, load (ETL) jobs
• Experience with infrastrastructure-as-code (i.e., Terraform, CloudFormation) methodologies
• Experience with distributed computing technologies such as Spark
• Experience designing and reviewing multi-function Python programs in accordance with style and security guidelines
• Experience with Scala is a plusExperience optimizing SQL queries for high performance
• Experience with highly-available SQL server installations
• A knack for seeking empirical evidence through proof of concepts, tests and external research
• Empathy with the user of the work you are producing to guide decision-making
• Strong analytical thinking and troubleshooting skills
• Strong written and verbal communication skills
• Typically requires 2+ years of experience in a closely-related role.
• Education and certifications are valued and may contribute towards this criteria as applicable

⭐ Remote-first work environment (our employees can work from anywhere in the US or from our Des Moines office)

❗❗**Please note:  While we support a remote-first work environment, we are currently only able to offer employment to candidates who live in the United States**

⭐ Remote-first home office stipend (and paid parking for our office-loving employees)

⭐ Stock options

⭐ 401k (with 4% company match)

⭐ Unlimited Paid Time Off (with a mandatory PTO minimum of 5 days every 4 months 😎)

⭐ 12 weeks paid parental leave

⭐ Medical, dental and vision insurance (Health plan options include a free Peloton app & Apple Fitness membership)

⭐ Long-term disability insurance

⭐ Life insurance

⭐ Flexible Spending Account

⭐ Dedication to supporting mental health via paid subscription to Headspace

⭐ Casual dress 

At Dwolla, we value diversity and hold the core belief that the best teams are built by the inclusion of diverse ideas, experiences, and people.

If you require a reasonable accommodation or assistance for any part of the interview and employment process, please contact Katie Spellman (Talent Recruiter) at kspellman@dwolla.com  and let us know the nature of your request.

If offered this position, you will be asked to complete an employment and credit verification authorization form (which allows us to run a background check) as part of our employment process. By submitting this application, you agree that Dwolla may share applicant information with a third party for communication services.