Data Engineer III

Astreya; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Astreya is seeking a Data Engineer to expand and optimize our data and data pipeline architecture, ensuring smooth data delivery for cross-functional teams. You will support data analysts and help maintain scalable infrastructure across ongoing projects.

Ideal candidates have experience in ETL, SQL/NoSQL and data warehousing, with proficiency in SAS, Python, Java and MatLab. You will work with executives, product, and design teams to drive data-driven insights and improvements.

Qualifications

• Bachelor’s degree plus 5–8 years of related experience.
• Strong data engineering capabilities across ETL, SQL/NoSQL and data warehousing.
• Proficient in SAS, Python, Java and MatLab; able to design scalable data pipelines.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional/non-functional requirements.
• Identify, design, and implement internal process improvements to automate manual processes and improve data delivery.
• Build the infrastructure for ETL from diverse data sources.
• Build analytics tools that use the data pipeline to provide insights into customer acquisition and business metrics.
• Collaborate with Executive, Product, Data and Design teams to support data infrastructure needs.
• Create data tools for team members to optimize analytics production.
• Work with data and analytics experts to improve data systems.
• Other duties as required.

Skills

Networking

Judgment

Education

Bachelor’s degree (B.S/B.A) from four-year college or university

Tools

SAS

Python

Java

MatLab

ETL

SQL

NoSQL

Hadoop

MapReduce

HIVE

Presto

Job description

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:

• Resolves a wide range of issues in creative ways
• Seasoned, experienced professional with a full understanding of their specialty
• Works on problems of a diverse scope
• Receives little instruction on day to day work, general instruction on new assignments

Your Roles and Responsibilities:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• 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 5 to 8 years’ related experience and/or training; or equivalent combination of education and experience
• Networks with senior internal and external personnel in own area of expertise
• Demonstrates good judgment in selecting methods and techniques for obtaining solutions
• Proficiency in languages SAS, Python, Java, and MatLab
• ETL (Extract, Transform, and Load)
• Database - SQL and NoSQL
• Data Warehousing – Hadoop, MapReduce, HIVE, Presto
• 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