Description
The Data Engineer Intern will work closely with data engineers, data scientists, software developers, and IT to build, deploy, and optimize data pipelines and integrate data platform infrastructure for enabling analytics, reporting, and machine learning workloads at scale.
RESPONSIBILITIES
- Build, test, and validate robust production-grade data pipelines that can ingest, aggregate, and transform large datasets according to the specifications of the internal teams who will be consuming the data
- Configure connections to source data systems and validate schema definitions with the teams responsible for the source data
- Troubleshoot data pipeline issues as they arise
- Evaluate new data platform infrastructure tools for proof of concept trials
Qualifications
Education/Certification:
- Bachelor's Degree in Computer Science, Data Engineering, or similar quantitative field
- Master's Degree in progress for Computer Science, Data Engineering, or similar quantitative field
Experience:
- 0 to 2 years of data management experience implementing data solutions or coursework in applicable discipline
- Experience coding in Java, Scala, or Python is required
- Experience with SQL databases; experience with NoSQL solutions is helpful
Skills/Abilities:
- Strong expertise in computer science fundamentals: data structures, performance complexities, algorithms, and implications of computer architecture on software performance
- Working knowledge software engineering fundamentals including version control using Git
- Ability to create SQL queries of moderate complexity.
- Strong trouble-shooting skills.
- Strong technical aptitude.
- Strong critical thinking skills.
- Excellent verbal and written communication skills.
PREFERRED QUALIFICATIONS
Education/Certification:
- Bachelor's Degree in Computer Science, Data Engineering, or similar quantitative field
- Master's Degree in progress for Computer Science, Data Engineering, or similar quantitative field
Experience:
- 2+ years in a data management role
Skills/Abilities:
- Experience working with HDFS or S3 storage environments
- Experience with Apache Spark
- Experience working in a Unix or Linux environment
Applicant should be actively enrolled at the University of North Texas.
Visa sponsorship is available for this position.
Paycom is an equal opportunity employer and prohibits discrimination and harassment of any kind. Paycom makes employment decisions on the basis of business needs, job requirements, individual qualifications and merit. Paycom wants to have the best available people in every job. Therefore, Paycom does not permit its employees to harass, discriminate or retaliate against other employees or applicants because of race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status or any other consideration made unlawful by applicable laws. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. The Human Resources Department has overall responsibility for this policy and maintains reporting and monitoring procedures. Any questions or concerns should be referred to the Human Resources Department. ****To learn more about Paycom's affirmative action policy, equal employment opportunity, or to request an accommodation - Click on the link to find more information: paycom.com/careers/eeoc
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