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Staff Data Engineer

Remote worldwide
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Staff Data Engineer


Orum is revolutionizing how consumers and businesses send, receive, and access money through its platform of API-based, embeddable infrastructure products. Powered by proprietary intelligence, Orum optimizes transactions for speed, cost, and risk, enabling intelligent routing  across multiple rails--including ACH, same-day ACH, RTP, crypto, wires and more--unlocking 24/7/365 money movement for our partners. 

The Orum team is helmed by expert fintech operators from LearnVest, Marqeta, N26, Square, Stripe and Stash and has raised over $82M from leading investors, including Accel, Canapi, Bain Capital Ventures, Inspired Capital, Homebrew, Acrew, BoxGroup, Clocktower Ventures, Primary Ventures, SVB Capital, and American Express Ventures. To learn more, visit  

At Orum, we are a remote-first and people-first company. We believe that working remotely presents a unique opportunity to build a diverse team that opportunistically leverages distance to asynchronously work better.  We have thoughtfully invested in the right tools and practices that will enable individuals to bring their best selves to work while having the flexibility and support to enjoy their personal lives.  We are committed to cultivating an equitable and inclusive work environment where everyone's voice matters. If you’d like to play a part in crystallizing the vision of a world where money is smart, real time, and fully automated, we’d love to hear from you.


About the role

This is a unique, exciting opportunity to help build technology from the ground up. We are looking for engineers who also have an interest in working closely with product engineers, Machine learning and data scientists to join Orum’s technology team. Data is a primary driver of our business value. While not directly building models, our systems will support the analysis, evaluation and delivery of trained models.

Exceptional data systems is the backbone of Orum’s first products brought to market. The ideal candidate is an experienced pipeline builder and data wrangler who enjoys optimizing data systems and building them from inception to completion. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Data architecture and tooling will be supporting many aspects of our business including operations and strategy functions.

As part of a small but growing engineering team, you will also help create the engineering culture and values at Orum. We strive to have a strong, deliberate culture defined around continuous learning, autonomy and ownership, and acknowledgement of failure. You don’t need to match our practices and culture, as you’ll help to define it. We pride ourselves on diversity and creating an inclusive workplace that provides equal opportunities to all persons.

In this role, you’ll:

  • Create, maintain and optimize our batch and streaming data pipeline architectures.
  • Design, create, manage and build tooling around our data lake to service multiple analytical modeling, and application workloads.
  • Work closely with Data Scientists and Machine Learning Engineers to provide tooling and design solutions to support our analytics and modeling needs.
  • Partner with Software Engineers to provide and maintain data products that serve application workloads.
  • Strategize with teammates in other functions to identify the appropriate work streams.
  • Lead project based work within the team, provide guidance to more junior teammates, and keep all relevant stakeholders informed of progress. 
  • Collaborate with teammates and seek appropriate guidance from leadership to enable end to end ownership of project based work
  • Prioritize work against organizational objectives and key results.
  • Anticipate problems and blockers proactively; turn those insights into actionable recommendations and solutions.
  • Provide and solicit regular feedback from peers, stakeholders, and leaders in the pursuit of transparent, effective, and efficient communication.
  • Evangelize best practices in data engineering, across the organization.

You should apply if:

  • You have experience building and optimizing data pipelines, architectures and datasets.
  • You have working knowledge of message queuing, stream processing patterns and technologies like AWS Lambda and SQS/SNS
  • You have a deep understanding of the enterprise data warehouse solutions and platforms (RDBMS, Cloud, big data).
  • You have experience supporting and working with cross-functional teams in a dynamic environment.
  • You have experience with data pipeline and workflow orchestration tools like Airflow or Luigi.
  • You have experience with functional programming and scripting languages such as Scala and Python
  • You have experience with advanced SQL, sql queries troubleshooting and optimization.
  • You have familiarity with batch and stream-processing systems and big data tools such as AWS Glue, Athena, Spark, Kinesis, Kafka, and Hadoop/EMR.
  • 5+ years of Scala, Python or Java development experience.
  • 5+ years of SQL experience.
  • 3+ years of experience with Databricks and a cloud provider, preferably AWS.

About our Benefits

  • Competitive Salary
  • 100% paid medical for you and your dependents, as well as dental and vision plans 
  • Healthcare and Dependent Care FSA
  • 401(k) Matching
  • Employee stock incentive plan
  • Take what you need PTO 
  • 12 paid holidays & 1-week company-wide time off in December
  • Paid parental leave
  • Paid monthly mental health days for you to reset and focus on your personal well being 
  • Weekly meeting-free, deep-work days
  • Bi-weekly paid virtual “Cafeteria” lunches
  • Subsidized membership to co-working spaces
  • Quarterly health and wellness stipend
  • Stipends for remote office supplies
  • Ongoing professional development provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.