At GoodUnited, we enable nonprofits to grow their impact while providing a meaningful one-to-one experience for donors to feel appreciated through conversational messaging. We are committed to providing our customers with the tools they need - technology, processes, and people - to make them uber-successful in their collective missions.

The Senior Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software engineers, database architects and data scientists on data initiatives and will ensure a consistent, optimal architecture. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives.

Don't meet all of the qualifications, but still interested? We encourage you to apply!

What does a Senior Data Engineer do at GoodUnited?:

• Creates and maintains an optimal data pipeline architecture.
• Assembles complex data sets that meet functional / non-functional business requirements.
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Builds the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources.

Requirements

What experience and skills does a Senior Software Engineer need to be successful here?:

• 5+ years of experience in a Data Engineer role, with a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience building and optimizing data pipelines, architectures and data sets.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of relational SQL and NoSQL databases, including Postgres and MongoDB.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Benefits

Benefits

• Competitive Medical, Dental, and Vision programs.
  • 100% of the employee's premiums are paid by GU, with nominal buy-ups for additional dependents.

• Unlimited (and mandatory) PTO. You have the flexibility to take whatever time you need for whatever reason.
• Birthday PTO. Your birthday is a day to celebrate YOU. GU employees have their birthdays as another PTO day to spend however they'd like.

• Parental Leave Program. We offer paid leave and other benefits to new parents so they can focus on what's most important.
• among others