Data Engineer II

What this Job Entails: 

We are looking for a Data Engineer to join our growing team of analytics experts. 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. The Data Engineer will support our data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. 

Scope:

• 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

Your Roles and Responsibilities:

• Create and maintain optimal data pipeline architecture

• Assemble large, complex data sets that meet functional / non-functional business requirements

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources 

• 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

• Work with data and analytics experts to strive for greater functionality in our data systems.

• Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position

Required Qualifications/Skills:

• Bachelor’s degree (B.S/B.A) from four-college or university and 2 to 5 years’ related experience and/or training; or equivalent combination of education and experience 

• 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

Preferred Qualifications: 

• Programming language: Javascript, R

• Basic Machine Learning 

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

Salary Range

• Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit.
• Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certifications, licenses, preferred qualifications, among other factors.

Astreya offers comprehensive benefits to all Regular, Full-Time Employees, including:

• Medical provided through Cigna (PPO, HSA, EPO options) / Medical provided through Kaiser (HMO option only) for California employees only

• Dental provided through Cigna (DPPO & DHMO options)

• Nationwide Vision provided through VSP

• Flexible Spending Account for Health & Dependent Care

• Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific)

• Continuing Education and Professional Development via various integrated platforms, e.g. Udemy and Coursera

• Corporate Wellness Program

• Employee Assistance Program

• Wellness Days

• 401k Plan

• Basic Life, Accidental Life, Supplemental Life Insurance

• Short Term & Long Term Disability

• Critical Illness, Critical Hospital, and Voluntary Accident Insurance

• Tuition Reimbursement (available 6 months after start date, capped)

• Paid Time Off (accrued and prorated, maximum of 120 hours annually)

• Paid Holidays

• Any other statutory leaves, paid time, or other fringe benefits required under state and federal law