We are looking for a Senior Data Quality Engineer to join our Data Acquisition Software Engineering team. This team is responsible for implementing and maintaining data acquisition, enrichment, normalization and transformation services. We are driven to find creative and innovative solutions to difficult data engineering problems that deliver value to our business. We work in a hybrid stack of Java, PHP, and Python. We are believers in using the right tool for the job and are always open to alternative technologies where it makes sense.

The ideal candidate will have a passion for data quality and demonstrated industry experience tackling the difficult engineering problems surrounding data acquisition and data quality.

About DHI

DHI Group is a provider of specialized career sites that cater to distinct professional communities. Our primary mission is to help professionals in the communities we serve find the best job opportunities and further their careers. Our focus and commitment sets us apart from the competition. To learn more about our brands please visit www.dhigroupinc.com.

When you become a DHI team member, you join a company that values their loyal and enthusiastic employees by providing them a competitive salary, great benefits, including a 401(k) match, generous paid time off, casual dress, wellness program, fitness club reimbursement, tuition reimbursement, and more.

DHI Group, Inc. will not sponsor a work visa (e.g. H-1B, etc.) to fill this position. Consideration will be given to qualified candidates residing in the greater Denver area only.

Essential Duties/Responsibilities

• Provide qualitative and quantitative insights into data sources
• Identify new data sources for inclusion into the data acquisition and ingestion pipelines
• Identify underperforming data sources and provide recommendations for
• Collect metrics around data quality and develop automated tests to validate data quality
• Develop monitoring and alerting functions to identify problems within the acquisition and ingestion pipelines.
• Evaluate and monitor licensing quotas with 3^rd party data providers
• Participate in data product design, development, automated testing, and performance analysis
• Provide failure analysis of issues identified from automated data quality tests
• Provide communication and insight into problems encountered during data acquisition and ingestion operations
• Provide detailed, scheduled reports and metrics regarding source status and health and develop actionable plans for data source improvement

Job Qualifications

• Required Knowledge, Skills and Attributes

˗       Understanding of common data acquisition techniques for structured and unstructured data.

˗       Understanding of qualitative and quantitative measurement techniques for evaluating data quality.

˗       Understanding of data normalization and enrichment practices.

˗       Demonstrated industry experience with automated testing frameworks.

˗       Strong verbal and written communication skills.

˗       Effective time management skills.

˗       Demonstrable open-source work and contributions preferred

˗       You take pride in being a true software craftsman and have a passion for technology

Required Education and/or Experience

˗       Industry experience developing and releasing data quality monitoring and reporting regimes.

˗       Experience with big data / machine learning tools and frameworks such as Python, Tensorflow, Keras, Spark, Hadoop, or MapReduce

˗       Experience with search technologies including SOLR, ElasticSearch and Lucene preferred

˗       Experience with AWS (DynamoDB, Lambda, API Gateway) preferred

˗       Experience with infrastructure tools such as Docker, Terraform, CloudFormation, Puppet a plus

˗       Experience with CI/CD tools (Jenkins, Automated Testing, etc) preferred

˗       Bachelor’s degree in Computer Science, Data Science, MIS or a related field

˗       Experience developing within an Agile environment preferred

˗       Five or more years experience with analyzing, testing, and monitoring data quality.

Equal Opportunity Employer M/F/D/V

Background Checks Required.