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Data Engineer – (MEO – 675A)

Kimberly Bounds
  • Work From Home
  • Virtual

This company is an independent software company that makes tools to help businesses run more smoothly. We believe that businesses only succeed by using their time intentionally. Our products support our customers through time tracking, reporting, and forecasting features.

This company started in 2006 as a team of three and has grown to today’s current team of over 60 working from around the globe. We’ve worked as a remote team since the beginning, and we continue to hire the right people for the job no matter where they call home.

We also strive to create a workplace culture where everyone feels valued, included, and heard. One important aspect of this is continuing to create spaces for diverse life experiences and work histories. If you are a member of a group that is historically underrepresented and disadvantaged in tech, business, and society in general, we want to meet you and we encourage you to apply.

Why We’re Hiring

At this company, you’ll be working with a team of honest and respectful engineers who value giving and receiving feedback and trust that they can count on each other.

This company Engineering consists of Product Engineering and Platform Engineering. Within Platform Engineering there are currently two teams, Site Reliability Engineering (SRE) and Data and Security Engineering (DSE).

The Data and Security Engineering (DSE) team is responsible for providing infrastructure and tooling that supports both internal and external data science and security needs. On the data engineering side, much of their work involves creating pipelines from various systems and tools, processing the incoming data and pushing it into our data warehouse for future consumption. For security, engineers use and/or build tools and partner with external vendors to assess various threats to this company and our customers’ data. They then work to improve our applications and build additional tooling to keep us safe.

We are currently looking for a Data Engineer to help evolve the data infrastructure at this company.

What You’ll Do

  • Support this company’s data warehouse and drive the evolution of our pipelines.
  • Identify and implement process improvements: designing infrastructure that scales, automating manual processes, etc.
  • Take ownership of the various tasks that will allow us to maintain high-quality data; ingestion, validation, transformation, enrichment, mapping, storage, etc.
  • Implement testing and observability across the data infrastructure to ensure data quality from raw sources to downstream models.
  • Collaborate with the Insights and SRE teams to build reliable, scalable tooling for analysis and experimentation.
  • Collaborate with the Product team to anticipate and support changes to the data.


Who You Are

  • You are a great communicator who can explain complex technical issues to a broad, non-technical audience.
  • You work well with engineering, support, product, legal, and the executive team.
  • You tailor your communication style, level of detail, and approach based on the audience.
  • You are able to empathize with a diverse range of engineers.
  • You balance reaching out for help from others with researching solutions on your own. You know where to find answers and when to ask for assistance.
  • You care about the details, but not at the cost of the big picture.
  • You believe finishing and shipping a good project is better than waiting for perfection.
  • You believe feedback is a gift, seek it out, and act on it.

What You’ve Done

  • You have strong experience with relational and non-relational data stores, including BigQuery.
  • You have experience in ETL/ELT design and implementation using tools like Stitch.
  • You are proficient in writing code in one of the following languages: Ruby, JavaScript or Go. Experience writing Python is a plus.
  • You understand database performance concepts like indices, segmentation, projections, and partitions.
  • You have successfully delivered projects working with Data Science and Engineering teams.
  • You are comfortable with cloud infrastructure, containerization, and orchestration.

*** The above job descriptions and listed requirements can often change based on current Employer need and new projects. Your assigned job counselor will provide you with the most up-to-date job information.

If you are a new applicant and not our current client, please fill out an application to start the process: Application

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