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.
Requirements
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 Power BI 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, Power BI) 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.
Benefits
Salary in USD
Flexible schedule (within US Time zones)
100% Remote
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data managementSQLNoSQLRedshiftdata visualizationPower BITableauAgile methodologiesPythonScala
Soft skills
communication skillscoachingmentoringtime managementproblem-solvingcollaborationleadershipself-motivatedindependentcommitment to professional growth
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information Systems