Senior Data Engineer Job Beaverton area,Oregon USA,Software Development

Pay Range: $(66.00 - 76.00)/hr on W2 all-inclusive without benefits Hybrid:
Mon – Thurs onsite, Fri remote

Job Role:

Top must-have skills include the following:

Databricks
Spark
Python
Snowflake
SQL
Experience with AI tools and initiatives
Skills that would make a candidate stand out:
Experience with/knowledge of finance domain
Experience with data analytics and BI tools
supporting gaps in the team, building capabilities, tools, and new data products, and improving profitability and margins
Urgent need - HM will prioritize those who can start ASAP
2 rounds of interviews anticipated

Role Responsibilities:

Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
Translate product backlog items into logical units of work in engineering
Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
Build and incorporate automated unit tests and participate in integration testing efforts
Utilize and advance continuous integration and deployment frameworks
Troubleshoot data issues and perform root cause analysis
Work across teams to resolve operational & performance issues

The following qualifications and technical skills will position you well for this role:

Bachelor’s degree in Computer Science, or related technical discipline
10+ years of experience in large-scale software development, 5+ years of big data experience
Programming experience, Python or Scala preferred.
Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
Experience with messaging/streaming/complex event processing tooling and frameworks
Experience with data warehousing concepts, SQL and SQL Analytical functions
Experience with workflow orchestration tools like Apache Airflow
Experience with source code control tools like Github or Bitbucket
Ability to communicate effectively, both verbally and written, with team members
Interest in and ability to quickly pick up new languages, technologies, and frameworks
Experience in Agile/Scrum application development

The following skills and experience are also relevant to our overall environment, and nice to have:

Experience with Java
Experience working in a public cloud environment, particularly AWS, databricks
Experience with cloud warehouse tools like Snowflake
Experience working with No

SQL data stores such as HBase, DynamoDB, etc.
Experience building RESTful API’s to enable data consumption
Experience with build tools such as Terraform or Cloud Formation and automation tools such as Jenkins or Circle CI
Experience with practices like Continuous Development, Continuous Integration and Automated Testing

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

Desire to work collaboratively with your teammates to come up with the best solution to a problem
Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
Excellent problem-solving and interpersonal communication skills
Strong desire to learn and share knowledge with others

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