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Experienced Full Stack Data Engineer – Web & Cloud Application Development at blithequark

Work from home Full-time role Hiring

Are you a skilled data engineer looking for a challenging and rewarding role at a leading company in the sports industry? Do you have a passion for working with big data, designing and implementing data products, and collaborating with cross-functional teams? If so, we may have the perfect opportunity for you! At blithequark, we're not just a company – we're a community of innovators, thinkers, and doers who are passionate about pushing the boundaries of what's possible. We're a place where everyone can grow, think, dream, and do, and where diversity and imagination thrive. As a Data Engineer at blithequark, you'll be part of a talented team that's dedicated to delivering high-quality data solutions that drive business success.

About the Role

We're seeking an experienced Full Stack Data Engineer to join our team in Beaverton, OR. As a Data Engineer at blithequark, you'll be responsible for designing and implementing data products and features in collaboration with product owners, data analysts, and business partners. You'll contribute to the overall architecture, frameworks, and standards for processing and evaluating big data, and work with cross-functional teams to ensure quality solutions are implemented and technical best practices are defined and followed.

Key Responsibilities:

* Design and implement data products and features in collaboration with product owners, data analysts, and business partners

  • Contribute to the overall architecture, frameworks, and standards for processing and evaluating big data
  • Evaluate new technologies, tools, and frameworks aimed at processing large volumes of data
  • Translate product backlog items into logical units of engineering work
  • Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
  • Build tools, user-defined functions, libraries, and frameworks to better enable data flow patterns
  • Collaborate with engineering leads and other teams to ensure quality solutions are implemented and technical best practices are defined and followed
  • Create and participate in automated unit tests and participate in integration tests
  • Use and extend continuous integration and deployment frameworks
  • Troubleshoot data issues and perform root cause analysis
  • Work in teams to resolve operational and performance issues

Requirements:

* Master's degree in Computer Science, Information Technology, or Computer Information Systems

  • 2 years of experience in the offered position or a computer-related position
  • Strong understanding of big data technologies, including Spark, Hive, Python, AWS, Apache Airflow, EMR, Data Bricks, Data Structures, Algorithms, Automated Unit Testing, CI/CD, and Hadoop
  • Experience with distributed data processing pipelines and big data ecosystems
  • Strong problem-solving skills and ability to troubleshoot complex data issues
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong understanding of software development principles, including Agile methodologies and continuous integration and deployment

Preferred Qualifications:

* Experience with cloud-based data platforms, including AWS and Azure

  • Knowledge of data warehousing and business intelligence tools, including Tableau and Power BI
  • Experience with data governance and data quality frameworks
  • Strong understanding of data security and compliance regulations, including GDPR and HIPAA
  • Experience with DevOps practices and tools, including Jenkins and Docker

What We Offer:

* Competitive salary and benefits package, including health insurance, employee assistance program, 401(k) plans, and paid leave

  • Opportunities for professional development and career advancement, including training and development programs and tuition assistance
  • Flexible work arrangements, including remote hours and flexible work schedules
  • Employee recognition programs and rewards for outstanding performance and contribution
  • On-site amenities, including gyms, cafes, and entertainment venues
  • Sustainability initiatives and opportunities to participate in projects related to sustainability
  • Employee discounts on blithequark products and apparel
  • Paid parental leave and support for new parents
  • Employee support groups (ERGs) and opportunities for networking and community involvement

How to Apply:

If you're a motivated and experienced data engineer looking for a challenging and rewarding role at a leading company in the sports industry, we encourage you to apply! Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!

Note:

* This job is available to candidates in the US, except for AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

  • The salary for this role is $27/hour.
  • The job is a remote position, with the option to work from home or in our office in Beaverton, OR.

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