Data Engineer

Remote | Full-time

Summary

ScaleCapacity is looking for a savvy 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 ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

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 using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications

Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
AWS or Snowflake Certifications
Experience with big data tools: Hadoop, Spark, Kafka, Storm, Spark-Streaming etc.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift, relational SQL, and NoSQL databases
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Desired Qualifications

BA/BS degree in Computer Science, Engineering, Management Information Systems, OR equivalent practical experience
Minimum (3) yrs. experience in Operational/Security cloud-based environments. (AWS & SaaS experience highly preferred
Knowledge of risk assessment tools, technologies, and methods
Strong technical proficiency in large scale systems, Linux/server operating systems, databases, cloud computing, big data, Hadoop & networking.
Experience with designing secure networks, systems, and application architecture basic encryption theory and key management (PKI) and Compliance Automation