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Building a better future for this generation and the next.
The Role
Processes structured and unstructured data, builds scalable data solutions, validates data quality, supports enterprise data warehouses and analytics tools, and maintains deployed data products. Collaborates with analytics teams during Agile planning, improves processes and interfaces, supports data feeds and mappings, and monitors emerging data technologies. Requires experience with Snowflake, relational databases, ETL, data quality tools, business intelligence platforms, Git, and scalable software systems.
Summary Generated by Built In
The Data Engineer II is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies.
WHAT YOU'LL DO
Key Responsibilities:
Process Structured and Unstructured Data
Data Validation and Quality
Agile Planning
Product Development
Application Support
Emerging Technology Monitoring
WHO YOU ARE
Minimum Qualifications:
Preferred Qualifications:
USD 89,400.00 - 134,000.00 per year
Compensation:
Compensation includes a base salary in the range of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets
WHAT YOU'LL DO
Key Responsibilities:
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.
WHO YOU ARE
Minimum Qualifications:
- 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
USD 89,400.00 - 134,000.00 per year
Compensation:
Compensation includes a base salary in the range of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets
Skills Required
- Current authorization to work in the United States for any employer without current or future sponsorship; no OPT, CPT, STEM/OPT, or visa sponsorship
- Live within a commutable distance of Atlanta, Georgia
- Bachelor's degree in Computer Science or a related field and at least 2 years of related Data Engineering experience, or a master's degree and at least 1 year of professional Data Engineering experience
- Professional Data Engineer experience beyond internships
- Experience with batch and real-time data processing frameworks
- Experience with data modeling, data access, schemas, and data storage techniques within Snowflake
- Experience designing, developing, and implementing highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems
- Experience with relational databases such as SQL, MySQL, and PostgreSQL
- Experience with business intelligence tools and platforms
- Experience with data quality tools
- Experience with application lifecycle methodologies such as waterfall, Agile, or iterative methodologies
- Experience with ETL processes and tools
- Experience working with Git
- Scrum Developer Certification or equivalent
- Experience with Sisense, Tableau, or Microsoft Power BI
- Experience with data modeling
- Experience with the Snowflake ecosystem
- Experience with AWS data tools, including Database Migration Service
- Experience with Python
- Experience with Jira, Rally, or similar tools
What the Team is Saying
Belinda
Manager of Network Automation
Tonya
Director of Agile Delivery
Chris
Manager of Engineering Support & Delivery
John Chapman
National Client Sales Director, Cox Automotive
Kib Yahyehyrab
Audit Analysis, Cox Enterprises
Jenny Arias
Marketing & Events Assistant, Cox Farms
Cox Enterprises Compensation & Benefits Highlights
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Healthcare Strength — Multiple medical plan options, preventive care, prescription coverage, telehealth, and dental/vision are highlighted alongside HSA/FSA support. Feedback suggests coverage quality and affordability are strengths for many.
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Retirement Support — A 401(k) with a company match is repeatedly emphasized, and the employer match is often viewed as a notable advantage. Feedback suggests this is a potentially valuable long-term financial benefit.
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Parental & Family Support — Paid parental leave, fertility coverage, adoption assistance, and subsidized backup childcare form a broad family-support offering. Feedback suggests these programs are a meaningful differentiator for caregivers.
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The Company
What We Do
Cox Enterprises is a family-owned enterprise spanning 125+ years of innovation. Through our diverse network of businesses, our people are shaping the future with bold thinking, cutting-edge technology and an unwavering commitment to doing what’s right. Across a range of industries — including automotive, agriculture, cleantech, journalism and more — we’re building a better future for this generation and the next. Make your mark at Cox!
Why Work With Us
Founded in 1898, Cox Enterprises is a community of kind, grounded individuals who work together to drive positive change across vital industries. At Cox, employees experience meaningful work, great benefits, work-life balance and a supportive team environment, plus ample opportunities for career growth across our family of businesses.
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Cox Enterprises Teams
Product & Tech
About our Teams
Cox Enterprises Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
