Astreya
Fullstack Engineer
Remote, CA · Contract
Sponsorship not specified$85k-$134kDetected 11 hours ago
JavaScriptPythonJavaMATLABFull-Stack DevelopmentSQLNoSQLLinuxMachine LearningData EngineeringSASHadoop
About the role
- The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Responsibilities
- Create and maintain optimal data pipeline architecture
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for team members to assist them in building and optimizing analytics production
- The Data Engineer will support our data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Requirements
- Bachelor's degree (B.S/B.A) from four-college or university and 2 to 5 years' related experience and/or training
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Other duties as required.
Nice to have
- Programming language: Javascript, R
- Physical Demand &
- Physical Demand & Work Environment:
- Must have the ability to perform office-related tasks which may include prolonged sitting or standing
- Must have the ability to move from place to place within an office environment
- Must be able to use a computer
- Must have the ability to communicate effectively
- Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers
Skills
- Builds productive internal and external working relationships
- Exercises judgment within defined procedures and practices to determine appropriate action
- Proficiency in languages SAS, Python, Java, and MatLab
- ETL (Extract, Transform, and Load)
- Database - SQL and NoSQL
- Data Warehousing - Hadoop, MapReduce, HIVE, Presto
- Operating system: UNIX, Linux
- Follows standard practice and procedures when analyzing situations or data
- Basic Machine Learning
Compensation
- $85,120.00 - $134,400.00 USD (Salary)
- Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position.
Benefits
- Medical provided through UHC (PPO, HSA, Surest options) / Medical provided through Kaiser (HMO option only) for California employees only
- Dental provided through UHC
- Nationwide Vision provided by UHC
- Flexible Spending Account for Health & Dependent Care
- Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific)
Company info
- Applies company policies and procedures to resolve a variety of issues
- Works on problems of moderate scope
- Receives general instructions on routine work and detailed instructions on new projects
- We are looking for a Data Engineer to join our growing team of analytics experts.
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This listing is sourced directly from Astreya's careers page and normalized into a canonical job model.