Direct Hire Data Engineer

Direct Hire Data Engineer

Vacancy expired!

Must be local to Scottsdale, AZ or willing to relocate.

Calling all Data Engineers if you are passionate about transformation, improving process and automation, bleeding edge tech and having fun then Vaco has the landing spot for you. Our client is looking to grow their Data Engineering team and currently has multiple openings to join their growing team of data experts. The position is responsible for expanding and optimizing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer (s) will support our software developers, database architects, and data analysts on data initiatives. You 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 the company's data architecture to support the next generation of products and data initiatives.



The following are essential accountabilities:

• Create and maintain optimal data pipeline architecture.


• Assemble large, complex data sets that meet functional and 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 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.


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


• Responsible for writing complex queries for reporting and the application consumption.


• Ability to troubleshoot and provide root cause analysis for database software and data integrity issues.

Required Qualifications:

• 4+ years of advanced experience as a Data Engineer


• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.


• 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.


• Strong analytic skills related to working with unstructured datasets.


• Build processes supporting data transformation, data structures, metadata, dependency and workload management.


• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.


• Strong project management and organizational skills.


• Experience supporting and working with cross-functional teams in a dynamic environment.

For Senior level roles we are seeking 5+ years of experience in a Data Engineering role. Preferred education would be someone who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.


• Experience with relational SQL and NoSQL databases.


• Experience with data pipeline and workflow management tools.


• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.


• Experience with stream-processing systems.


• Experience with object-oriented/object function scripting languages: Python, Java.