Data Engineer

Summary:

We are looking for an experienced Data Engineer to join our team

The Data Engineer will be responsible for developing and maintaining data processing software like databases. Their duties include coordinating with company Executives and other professionals to create unique data infrastructure, running tests on their designs to isolate errors, and updating systems to accommodate changes in company needs.

Essential Duties 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 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.
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• 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.

Experience:

Also, the following experience is required to successfully execute the responsibilities assigned to this position:

• Experience with big data tools: Hadoop, Spark, Kafka.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala.
• Experience building and optimizing big data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Other Qualifications:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
  

Education:

The employee must hold a bachelor’s degree in computer science, information technology, statistics, informatics, or similar field. The candidate must also have a minimum of 5+ years of proven work experience as a data engineer, specifically in the technology industry.

Other:

Must be a US Citizen

Mus be a US Resident

Fully Bilingual (English and Spanish)

EEO