> Markdown version of [/jobs/ext/4636282-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/4636282-data-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer II

- **Company:** Cox Automotive
- **Location:** Sandy Springs, GA, United States
- **Salary:** $89,400 - $134,000
- **Contract:** Internship / Graduate position
- **Skills:** Adobe InDesign, Agile Methodology, Application Lifecycle Management, JIRA, Big Data, Data Validation, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Relational Databases, Python (Programming Language), PostgreSQL, MySQL, Scrum Methodology, Power BI, Software Systems, SQL Databases, Tableau (Software), Unstructured Data, Web Applications, Data Storage Technologies, Snowflake, Technical Debt, Git, Database Migration, Information Technology, Stream Processing
- **Published:** November 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=78be774e18e608c3

## About the Role

* Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future
 * Must live within a commutable distance of Atlanta GA
 * Bachelor's degree in Computer Science or related field and minimum 2+ years of related Data Engineering experience or Masters degree and at minimum 1 year of professional Data Engineering experience
 * Must have professional working experience as a Data Engineer beyond internships
 * Working experience with batch and real-time data processing frameworks
 * REQUIRED: Working experience with data modelling, data access, schemas, and data storage techniques within Snowflake
 * Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems
 * Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL
 * Working experience with business intelligence tools and platforms
 * Working experience with data quality tools
 * Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)
 * Experience with ETL processes and tools
 * Experience working with Git

Preferred Qualifications:

 * Scrum Developer Certification or equivalent
 * Working experience with Sisense, Tableau or Microsoft PowerBI platforms
 * Working experience with data modeling
 * Working experience with the Snowflake ecosystem
 * Working experience with AWS data tools (Database Migration Service)
 * Working experience with Python
 * Experience working with Jira, Rally or similar tools, Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

## Description

Process Structured and Unstructured Data

 * Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
 * Understands and enforces appropriate data master management techniques.

Data Validation and Quality

 * Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.
 * Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.

Agile Planning

 * Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.
 * Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.

Product Development

 * Implements and optimizes data solutions in enterprise data warehouses and big data repositories.
 * Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.

Application Support

 * Provides ongoing support, monitoring, and maintenance of deployed products.

Emerging Technology Monitoring

 * Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.