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Cox Enterprises · 20 hours ago

Senior Data Engineer

United States

Full-time

Remote

Mid, Senior Level

$102K/yr - $169K/yr

4+ years exp

Cox Automotive is seeking a highly skilled and forward-thinking Senior Data Engineer to design, build, and optimize data architecture and pipelines that power strategic decision-making across the enterprise. This role combines deep technical expertise with a strong focus on data quality and integrity, ensuring that data is accessible, trusted, and actionable for internal teams and automotive OEM clients.

AdvertisingBroadcastingDigital MediaTelecommunications

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Design and implement robust data architectures supporting structured and unstructured data from internal and external sources

Build and maintain scalable, secure data pipelines using cloud-based and distributed technologies

Establish data structures and routing mechanisms based on business and technical requirements

Ensure alignment with enterprise architecture standards and business goals

Develop and execute automated test cases to validate ETL workflows, data pipelines, and reporting logic

Create regression test suites to ensure ongoing data integrity and system stability

Monitor and troubleshoot data anomalies, proactively identifying root causes and implementing fixes

Maintain high standards of data quality across all reporting and analytical outputs

Develop tools and programming to cleanse, organize, and transform data using AI, ML, and big data techniques

Automate manual data processes, transforming them into repeatable, scalable capabilities

Collaborate on application development projects to evolve database architecture and design

Analyze current and historical performance data to identify trends, variances, and opportunities

Support dashboard and reporting development using tools like Tableau, Power BI, or Domo

Fulfill routine and ad-hoc reporting requests using accepted metrics and methodologies

Partner with data consumers, project managers, and business stakeholders to define logical and physical database designs for analytics models

Collaborate with internal and external data providers to validate data, provide feedback, and customize data feeds and mappings

Communicate findings and test results clearly to both technical and non-technical audiences

Identify and implement improvements in internal data management and testing processes

Influence the data infrastructure roadmap through technical leadership and innovation

Contribute to the development of design standards and assurance processes for software, systems, and applications

Qualification

Data architectureData pipelinesCloud environmentsProgramming in PythonBig data technologiesETL processesAutomated testing frameworksData modelingMachine learning frameworksData governanceCI/CD pipelinesAgile environments

Required

Bachelor's degree in Computer Science, Engineering, or a related field, with 4+ years of experience in data engineering or architecture

Proven experience designing and building data pipelines and architectures in cloud environments (e.g., AWS, Azure, Snowflake)

Strong programming skills in Python, Scala, or Java, and proficiency in SQL

Experience with big data technologies (e.g., Spark, Kafka, Hadoop) and machine learning frameworks

Familiarity with ETL processes, data modeling, and data warehousing concepts

Experience with automated testing frameworks (e.g., PyTest, Selenium, dbt tests) and data validation techniques

Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders

Preferred

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for data transformation and predictive modeling

Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster

Hands-on experience with cloud-native data platforms (e.g., Snowflake, AWS Redshift, Azure Synapse)

Knowledge of data governance and metadata management best practices

Experience integrating external data sources and APIs into enterprise data ecosystems

Strong understanding of CI/CD pipelines and DevOps practices for data engineering

Ability to work in Agile environments and contribute to sprint planning and backlog grooming

Exposure to real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus

Benefits

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

Up to 160 hours of paid wellness annually for their own wellness or that of family members

Bereavement leave

Time off to vote

Jury duty leave

Volunteer time off

Military leave

Parental leave

Health care insurance (medical, dental, vision)

Retirement planning (401(k))

Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)

Company

Cox Enterprises

Glassdoor4.6

Cox Enterprises is a communications, media, and automotive services company.

Founded in 1898

Atlanta, Georgia, USA

10001+ employees

http://coxenterprises.com

H1B Sponsorship

Cox Enterprises has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (4)

2022 (7)

2021 (1)

2020 (3)