Company
Cox Enterprises
Job Family Group
Engineering / Product Development
Job Profile
Sr Lead Data Engineer
Management Level
Sr Manager - Non People Leader
Flexible Work Option
Hybrid - Ability to work remotely part of the week
Travel %
Yes, 5% of the time
Work Shift
Day
Compensation
Compensation includes a base salary of $131,600.00 - $219,400.00. 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.
Job Description
Job Summary
Cox Enterprises' Data Solutions Team is currently looking for a  Senior Lead Data Engineer - Cloud  to join our team in  Atlanta, GA .
The  Senior Lead Cloud Data Engineer  will have end-to-end responsibility for new projects, processes, standards, and the continuous improvement of data and analytics solution delivery across customer portfolios, business partners, and internal initiatives. This position will guide data analytics resources to deliver and support solutions that exceed stakeholder needs. This role will solve unique, significant, complex problems and drive creative solutions to provide consistent and standardized data solutions.
The  Senior Lead Cloud Data Engineer  will have hands-on technical and functional experience with cloud platforms (i.e.  Oracle, Azure, Amazon Web Services, Informatica ), and functional familiarity with self-service tools (i.e.  Tableau, Microsoft Power BI, Alteryx ) to support stakeholder requirements. This role will have a history of independent judgment and decision-making across a large span of influence.
Job Responsibilities
Solution Architecture and Design
Coach, mentor, and develop cloud engineering and platform skills of Data Engineer resources.
Lead large, complex technology engagements, roadmaps, and strategy requiring in-depth data evaluation and critical thinking.
Provide expert knowledge of modern cloud data architecture patterns and solutions.
Understand the "big picture" to assess impacts across the Business Intelligence platforms, Corporate IT solutions, and platforms in the Enterprise.
Recommend technical designs consistent with industry best practices and Cox standards for cloud platforms.
Partner with Leadership, Portfolio, Enterprise Architecture, Analytics, Security, and Data Governance teams to collaborate on platform solutions and analytics opportunities.
Understand Agile software methodology and tools, encouraging an iterative mindset as the team prepares for a broad transition to agile.
Develop an understanding of Cox Enterprises applications and their interdependencies with source applications, customers, and business processes within the areas they support.
Identify solution architectural issues and propose alternative solutions.
Interact and build trusted relationships with all levels of personnel, including management, from both business and technology teams.
Know how to identify and mitigate risks and escalate potential business issues.
Data Integration Delivery
Perform data integrations into Microsoft Fabric, including data sourcing and Fabric ETL development/set-up.
Support data engineering for analytics products, including transformations, table views, or other needs to enable analytics products developed within lakehouse medallion architecture.
Monitor and optimize the performance of data pipelines and storage solutions.
Implement and enhance Data Reliability Engineering (DRE) practices.
Help prepare Features and User Stories, functional and technical designs, test scenarios, and deployment plans related to the data platform.
Perform gap analysis related to data processes and database table structures that populate reporting and analytics requirements.
Construct, manage, monitor, and support data integration between multiple systems.
Qualifications - Required:
Bachelor’s degree in a related discipline and 8 years’ experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years’ experience; a Ph.D. and 3 years’ experience in a related field; or 20 years’ experience in a related field.
Minimum of 8 years of experience as a Data Engineer, with a strong focus on Microsoft Azure.
5+ years of experience in Azure services (ADLS, ADF, DevOps, etc.).
1+ years' hands-on experience in architecting and building cloud solutions from end to end with Microsoft Azure and Fabric or Databricks platforms.
7+ years of experience implementing modern cloud-based solution/platform (AWS, Azure, GCP).
8+ years of experience in designing and implementing ETL/ELT pipelines using ADF, integrating with other Azure services.
7+ years of Python development experience, with the capability of developing own libraries.
4+ years of working in Spark applications (in Python/Scala) for data transformation and integration with cloud services and proficiency in PySpark.
Experience with or knowledge of Agile Software Development methodologies.
Qualifications - Preferred:
Technical Skills: Azure networking, security (RBAC, Azure AD), Infrastructure as Code, CI/CD.
Certifications: Microsoft Certified: Azure Solutions Architect or equivalent.
Advanced level proficiency in ETL / Data Orchestration technology (i.e. Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend), data processing, ETL pipelines, and big data technologies.
Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions.
Experience in performance tuning, query optimization, security, monitoring, and release management.
Experience in cloud native technologies and patterns (AWS, Google Cloud).
Experience in driving and/or influencing the data strategy of your team or organization.
Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST).
Work Environment:
Team agreement in place to support a hybrid work environment that balances in-office with remote work to maximize collaboration and customer-centric value delivery.
Ability to work in a "team-first" mentality where teams swarm on objectives and success is determined at the team level, rather than individual level.
Ability to work under pressure and meet deadlines within specified time constraints.
Ability to adapt to changes in assigned work tasks, duties, and priorities in a fast-paced and dynamic work environment.
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.
About Us
As our primary divisions, Cox Automotive and Cox Communications drive new waves of innovation, Cox Enterprises is entering spaces like cleantech, healthcare, esports, and more. We're a family business guided by a legacy of bold innovation that’s driven by those who want to make their mark. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with a disability, unless such accommodations would cause an undue hardship.

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We are looking for a highly motivated   Sr Data Engineer   to design, build, and maintain scalable data pipelines, optimize data infrastructure, and support analytics on our Atlanta team. The ideal candidate is a self-starter, detail-oriented, and thrives in a collaborative environment. This role requires strong problem-solving skills and the ability to work cross-functionally with technical teams, and business stakeholders to deliver high-quality data solutions. This role will be instrumental in setting up a scalable data infrastructure to support future AI and machine learning capabilities, enabling advanced analytics and data-driven decision-making.

What You'll Do

Primary Responsibilities and Essential Functions:

Design, develop, and optimize data pipelines for structured and unstructured data.
Provide expertise in designing and maintaining relational databases, ensuring performance, reliability, and scalability.
Support query performance optimization, indexing strategies, and data partitioning for efficiency in large-scale data processing.
Automate data ingestion, transformation, and integration across multiple sources.
Implement best practices for data governance, security, and compliance.
Enable AI/ML capabilities by ensuring clean, high-quality data pipelines that support machine learning models.
Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
Drive innovation in data engineering by researching and implementing new technologies, tools, and best practices.
Who You Are

Skills and Requirements:    BS/BA in and 5-7 years' experience in a related field, with a focus on data engineering. The right candidate could also have a different combination, such as a master's degree and 2-3 years' experience; or 10+ years' experience in a related field and no degree.
Expertise in SQL and Python, including libraries such as Pandas and NumPy for data transformation and optimization.
Proven experience with data warehousing solutions such as Oracle, Snowflake, Fabric, or Databricks.
Strong understanding of data modeling, indexing, and performance tuning for large-scale data environments.
Knowledge of data security, access control, and compliance policies (e.g. HIPAA).
Ability to design and lead large-scale data infrastructure initiatives with a focus on scalability and efficiency.
Strong analytical and problem-solving abilities, with a passion for optimizing data workflows.
Excellent communication skills, with the ability to present insights and technical concepts to both technical and non-technical audiences.
Highly detail-oriented, with a commitment to data accuracy and quality.
Self-starter with a strong sense of ownership, initiative, and accountability.
Must live within a commutable distance to the office.
Preferred    Experience using R for statistical modeling and data analysis.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience building data integrations in OneStream.
Experience developing APIs for data services, including RESTful or GraphQL APIs for data consumption by applications and AI/ML teams.

USD 99,000.00 - 165,000.00 per year

Compensation:

Compensation includes a base salary of $99,000.00 - $165,000.00. 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.

About Cox Communications

Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today!

About Cox

Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today!

Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page .

Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

We are seeking a highly skilled   Senior Data Engineer   within the network fulfillment and operations data effectiveness team for the development and support of data ETL and analytics solutions. The ideal candidate will be responsible for developing, supporting and proactively monitoring the data ETL and integration solutions in cloud and automation solutions in power platform. This candidate will require strong experience using data ETL tools and SQL. The ideal candidate will work under minimal supervision and possess a deep understanding of data systems and processes.

Key Responsibilities:

Data Pipeline Management:   Build and maintain optimized and highly available data pipelines to facilitate deeper analysis and reporting within both on-prem and cloud ETL solutions

Data Collection Systems:   Oversee the construction and maintenance of data collection systems, ensuring efficiency and scalability

Data Models:   Develop and deploy data models and solutions for existing data systems

ETL Processes:   Develop, support and optimize ETL (Extract, Transform, Load) processes to convert data into usable formats

Data Integration:   Integrate data from various sources, ensuring seamless data flow and consistency

Data Security:   Implement and maintain robust data security measures to protect sensitive information

Documentation:   Create and maintain comprehensive documentation for data processes, systems, and workflows

Data Monitoring and Alerting:   Implement alerting mechanisms to notify the team of any issues or anomalies in the data systems

Loggin and Issue Resolution:   Identify and fix problems with data systems to ensure smooth workflow and minimize downtime

Automations:   Supporting solutions within PowerPlatform from a data collection and integration standpoint

Qualifications

Minimum:

Bachelor's degree in a related discipline and 4 years' experience in design and developing data engineering solutions.
The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field
4+ years of experience with Python
2+ years of experience with cloud technologies around data engineering/analytics
Demonstrates skills in data engineering tasks, including data ingestion, data prepping/structuring, and data analysis for specific projects across multiple ETL tools
Experience in source system data analysis, designing data models and ETL pipelines using Spark, Python Shell for data ingestion and reporting
Cloud ETL experience preferably in AWS
Highly skilled at writing and optimizing SQL queries
Preferred:      Experience in ETL pipeline development( like Tableau Prep/ Informatica/SSIS experience to support and convert existing ETL solutions to cloud)
Experience with additional AWS services such as S3, Glue, CloudWatch, EventBridge, EC2, EMR, RedShift, SQS, RDS, IAM, and Terraform.

USD 99,000.00 - 165,000.00 per year

Compensation:

Compensation includes a base salary of $99,000.00 - $165,000.00. 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.

About Cox Communications

Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today!

About Cox

Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today!

Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page .

Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

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