Here are some of the exciting day-to-day challenges you will face in this role:
- Design, develop, and maintain data pipelines and data stores that support enterprise data science, analytics, and operations.
- Identify, track, and analyze the performance of data layer services, implementing solutions and improvements to enhance stability, efficiency, and performance.
- Collaborate with your peers across the Research and Technology organization.
- Ability to guide, coach, and mentor engineers, BI Developers, and analysts.
You will shine if you have:
- Bachelor’s degree in Computer Science, Information Systems or demonstrated ability in a related field is required.
- Expertise in data management using structured (SQL) and unstructured (NoSQL) approaches, with Redshift experience as a plus.
- Proficiency in data visualization principles, especially with PowerBI and Tableau.
- Familiarity with Agile methodologies and tools like Jira.
- Knowledge of software development life cycles and practices, including git and cloud-native technologies like S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, and Terraform.
- Programming expertise in Python and/or Scala, with an understanding of infrastructure as code principles.
- Experience in data pipeline design, database modeling for analytical datasets or feature stores, and cloud software monitoring/alerting.
- Familiarity with client/server concepts, including SFTP, APIs, and web scraping, and supporting data visualization users (e.g., Tableau, PowerBI) or analytics/data science teams.
- Strong communication skills and a commitment to professional growth in data engineering and architecture.
- Proven ability to design enterprise-scale solutions with long-term business impact.
- Leadership capabilities, including coaching, mentoring, and developing peers.
- Excellent time management and independent problem-solving skills, with a self-motivated and driven work ethic.
- Ambitious, collaborative team player with a Bachelor's degree or higher in Computer Science, Information Systems, or a related field (or demonstrated equivalent ability).
- 1-5 years of experience in data engineering or a technical role within data environments.
It doesn't hurt if you also have:
- Redshift experience is a plus
What we offer:
- Salary in USD
- Flexible schedule (within US Time zones)
- 100% Remote
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