Be an Early Applicant
Building a better future for this generation and the next.
The Role
Designs, builds, and optimizes scalable data pipelines, integrations, warehouse solutions, and enterprise data models. Partners with stakeholders to develop reliable data products for analytics, reporting, and AI use cases. Responsibilities include performance optimization, automation, troubleshooting, root cause analysis, code reviews, documentation, technical design, and mentoring. Requires production data engineering experience, SQL, cloud platforms, ETL, source control, and collaborative software development practices.
Summary Generated by Built In
Job Description
Our Data & Analytics team partners closely with business stakeholders to deliver trusted data, analytics, and insights that support operational and strategic decision-making. We design, build, and maintain a modern cloud-based data platform that serves as the foundation for reporting, analytics, data products, and AI-driven solutions across our business.
As a Data Engineer II, you will play a key role in advancing our data ecosystem by designing, building, and optimizing scalable data solutions that transform raw data into trusted, analytics-ready assets. You will partner with engineers, analysts, architects, and business stakeholders to deliver data products that drive business outcomes while helping evolve our data platform and engineering practices.
In this role, you will operate with a high degree of independence, owning solutions from design through implementation and support. You'll leverage modern cloud technologies, AI-assisted development tools, and engineering best practices to improve how data is delivered, governed, and consumed across the organization.
What You'll Do
Who You Are
Preferred
What's In It For You
Here's a sneak peek of the benefits at your disposal as a Cox employee:
Check out all our benefits: https://jobs.coxenterprises.com/en/life-at-cox/benefits/
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
Our Data & Analytics team partners closely with business stakeholders to deliver trusted data, analytics, and insights that support operational and strategic decision-making. We design, build, and maintain a modern cloud-based data platform that serves as the foundation for reporting, analytics, data products, and AI-driven solutions across our business.
As a Data Engineer II, you will play a key role in advancing our data ecosystem by designing, building, and optimizing scalable data solutions that transform raw data into trusted, analytics-ready assets. You will partner with engineers, analysts, architects, and business stakeholders to deliver data products that drive business outcomes while helping evolve our data platform and engineering practices.
In this role, you will operate with a high degree of independence, owning solutions from design through implementation and support. You'll leverage modern cloud technologies, AI-assisted development tools, and engineering best practices to improve how data is delivered, governed, and consumed across the organization.
What You'll Do
- Design and deliver scalable data pipelines and integration solutions that provide trusted, accessible data for analytics, reporting, and business decision-making.
- Build and enhance enterprise data models and warehouse solutions that support reporting, self-service analytics, and emerging AI use cases.
- Partner with business stakeholders, analysts, and technical teams to transform business requirements into reliable, maintainable data products.
- Improve platform performance, reliability, observability, and operational efficiency through continuous optimization and automation.
- Lead technical problem-solving efforts, including troubleshooting, root cause analysis, and resolution of complex data issues.
- Contribute to engineering excellence through code reviews, technical design discussions, documentation, and adoption of best practices.
- Mentor and support other engineers while helping evaluate new technologies and approaches that improve data delivery capabilities.
Who You Are
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Analytics, or a related technical field, and 2+ years of experience in data engineering, software engineering, analytics engineering, or a related field; or an equivalent combination of education and experience.
- Proven experience supporting data warehouse or data-focused projects involving ETL (Extract, Transform, and Load) processes, including data extraction, transformation, cleansing, mapping, and migration activities.
- Experience designing, developing, and supporting production data pipelines and data integration solutions.
- Experience writing and optimizing SQL for data transformation, integration, and analytics workloads.
- Experience working with cloud-based data, analytics, or software platforms.
- Experience using source control and collaborative software development practices.
Preferred
- Experience with modern data warehousing, dimensional modeling, Data Vault, or similar data architecture methodologies.
- Experience with Snowflake, dbt, Microsoft Fabric, Azure, AWS, or related cloud data technologies.
- Experience developing data products, semantic models, or self-service analytics solutions.
- Experience with Python, PowerShell, or similar scripting and automation technologies.
- Relevant certifications in Snowflake, Azure, AWS, Microsoft Fabric, or related technologies.
What's In It For You
Here's a sneak peek of the benefits at your disposal as a Cox employee:
- A competitive salary and top-notch bonus/incentive plans.
- Exceptional work-life balance, flexible time-off policies, and accommodating work schedules.
- Comprehensive healthcare, with multiple options for individuals and families.
- Generous 401(k) retirement plans with up to 8% company match.
- Mental health support, including counseling and access to virtual wellness resources such as CALM.
- Access to Care.com, with up to 10 days of subsidized care for children, seniors, and pets.
Check out all our benefits: https://jobs.coxenterprises.com/en/life-at-cox/benefits/
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
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Data Analytics, or a related technical field, or equivalent education and experience
- 2+ years of experience in data engineering, software engineering, analytics engineering, or a related field
- Experience supporting data warehouse or data-focused projects involving ETL processes, including data extraction, transformation, cleansing, mapping, and migration
- Experience designing, developing, and supporting production data pipelines and data integration solutions
- Experience writing and optimizing SQL for data transformation, integration, and analytics workloads
- Experience working with cloud-based data, analytics, or software platforms
- Experience using source control and collaborative software development practices
- Experience with modern data warehousing, dimensional modeling, Data Vault, or similar data architecture methodologies
- Experience with Snowflake, dbt, Microsoft Fabric, Azure, AWS, or related cloud data technologies
- Experience developing data products, semantic models, or self-service analytics solutions
- Experience with Python, PowerShell, or similar scripting and automation technologies
- Relevant certifications in Snowflake, Azure, AWS, Microsoft Fabric, or related technologies
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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Retirement Support — The 401(k) features eligibility after 90 days with an automatic 2% contribution and a dollar-for-dollar match up to 6%, for up to 8% from the company. This structure is highlighted as a standout element of the package.
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Healthcare Strength — Multiple medical plan choices (Core PPO, Premium PPO, and an HSA-eligible HDHP) with in-network preventive care covered at 100%, alongside mental-health and wellness resources, indicate robust healthcare support. Plan options and wellness tools are emphasized across benefits materials.
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Parental & Family Support — Paid parental leave, adoption assistance, comprehensive fertility coverage, childcare/backup-care support, and resources such as Milk Stork and gender-affirming care signal strong support for families. Additional life-stage supports like menopause care further broaden the offering.
Cox Enterprises Insights
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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
