Data Engineer

3 weeks ago

Eugene, United States Twenty Ideas Full time

Twenty Ideas (20i) is the home of passionate people who work together to elevate the web and create meaningful digital experiences for clients across a variety of sectors. Our team values innovative, cooperative design and development in an environment full of mutual respect, hard work, and fun. In other words, we work together closely to build really awesome things. We're looking for a Data Engineer to join our remote-first team with our headquarters in beautiful Eugene, Oregon. At this time, we can only accept applicants who reside in Oregon, Washington, Idaho, Pennsylvania, and Washington, D.C.

About us:

  • We are a remote first company with an office option located in Eugene, Oregon.
  • Great company culture & tight-knit collaborative team.
  • Diverse and exciting technologies & digital products.
  • Opportunities for professional development - online seminars, internal learning, company paid resource materials.
  • Six weeks (i.e. 30+ days) of PTO & 20i holidays along with flexible work hours.
  • 100% company paid medical, dental, vision, life and disability Insurance.
  • We offer a 401K plan & 4% company match, remote perks, and optional FSA/Dependent care.
  • Company-sponsored happy hours & social events - we have fun too.
Here's what you'll do:
  • Work with cutting-edge technologies in the management and migration of data.
  • Ability to learn new systems and tools to manipulate, transform, and work with data.
  • Design, Construct, Install, Test, and Maintain Data Management Systems. Ensure that all systems meet company and performance requirements.
  • Data Acquisition and Processing: Develop data processes for data modeling, mining, and production.
  • Improve Data Foundational Procedures, Guidelines, and Standards: Optimize data retrieval, develop dashboards, reports, and other visualizations for stakeholders.
  • Collaborate Across Functional Teams: Work with engineering and business teams to understand data needs and implement solutions accordingly.
  • Work closely with teammates and clients to collaborate on concepts, and put ideas into practice.
  • Help define the tools and practices used across all Twenty Ideas engineering team.
Here's what you'll need:
  • 8+ years of experience as an engineer with a large amount of experience working with data.
  • Expertise in programming languages, especially languages that are built for working with data (e.g. Python).
  • Extensive Database Knowledge: SQL (e.g. PostgreSQL), NoSQL (e.g. DynamoDB), data warehousing solutions.
  • Strong Analytic Skills: Experience with database management and data processing.
  • Excellent Problem-solving and Teamwork Skills: Ability to work in a dynamic, cross-disciplinary environment.
  • High attention to details in terms of complex data migrations and an awareness of risk and assurance of correctness.
  • You know how to test your work by writing your code in a testable way.
  • You're an expert working through the terminal (tailing logs, piping, checking file permissions, etc).
  • You're an expert with at least one popular Cloud Provider's technology (e.g. AWS, GCP, Azure).
  • Preferred, a degree in Computer Science, Engineering, or Relevant Field (e.g. Bachelor's or Master's).
Bonus Points awarded for:
  • Experience leading groups of developers towards a common goal.
  • Familiarity with best practices and regulations in the Health Care industry (HIPAA, PII protections, etc).
  • Advanced Degrees in Data Science or a Related Field.
  • Certifications: Such as Certified Data Management Professional.
  • Experience with Machine Learning and Artificial Intelligence.
  • Experience in a Startup Environment: Adaptability to rapid changes in project conditions and objectives.
  • Experience with Big Data Tools: Such as Hadoop, Spark, Kafka, etc.
  • A passion project or two that you've created or collaborated with someone on.


Twenty Ideas values diversity. We are an equal opportunity employer and we do not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, gender, sexual orientation, gender expression, age, veteran status, marital status or disability status.

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