Data engineer

  • location: Beaverton, OR
  • type: Contract
  • salary: $65 - $70 per hour

job description

Data engineer

job summary:
Randstad Technologies is seeking a skilled Data Engineer for a contract role in Beaverton Oregon. If you are ready to join a leader in the Retail and Technology space, please apply and Randstad will be more than happy to assist in helping you land your next role. We look forward to speaking with you!

location: Beaverton, Oregon
job type: Contract
salary: $65 - 70 per hour
work hours: 8am to 4pm
education: Bachelors
If you're ready to innovate and become part of our Enterprise Data organization, come join us now! You will be part of an organization that is revolutionizing technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible.

As a Data Engineer within the APLA Commercial Analytics team, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key products enabling enterprise data & analytics capabilities across our organization.

Primary Responsibilities:

- Good understanding and application of modern data processing technology stacks. For example, Snowflake, SQL, Spark, Airflow, and others

- Design and build product features in collaboration with business and IT

- Design reusable components, frameworks, and code

- Use and contribute to continuous integration pipelines

- Performance/scalability tuning, algorithms and computational complexity

- Develop architecture and design patterns to process and store high volume data sets

- Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints

- Troubleshoot production support issues post - deployment and come up with solutions as required

- 2+ years' experience in a professional organization collaborating across multiple functions

- Familiarity with Agile project delivery methods

- Experience with AWS components and services (e.g., EMR, S3, and Lambda)

- Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow

- strong programming, Python, shell scripting and SQL

- Good understanding of file formats including JSON, Parquet, Avro, and others

- Experience with data warehouses/RDBMS like Snowflake, Teradata

- Experience with data warehousing, dimensional modeling and ETL development

- Demonstrable ability to quickly learn new tools and technologies

- Machine learning frameworks & statistical analysis with Python, R or similar

- Exceptional interpersonal and communication skills (written and verbal)

- Passion for data with demonstrated ability to use data to tell a story and influence decision making

- Detail oriented with strong information seeking skills


- Effective Communicator

- Broad Business Process and Systems Understanding

- Analytical and Focused

- Strategic Thinking and Tactical Execution

- Continuous Learner

- A Bachelor's degree in Computer Science, Engineering, Business, Information Technology or related field

  • Experience level: Experienced
  • Education: Bachelors
  • Data Engineering

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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