The Data Engineer I processes and validates structured and unstructured data, supports product development, and monitors emerging technologies.
The Data Engineer I 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
QUALIFICATIONS:
PREFERRED QUALIFICATIONS:
USD 65,500.00 - 98,300.00 per year
Compensation:
Compensation includes a base salary of $65,500.00 - $98,300.00. 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.
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
QUALIFICATIONS:
- Bachelor's degree in a related discipline and at minimum 1 year professional experience in a related role or 12 years' experience in related role
- Must live within a commutable distance to Atlanta GA and follow hybrid working model of onsite 2-3 times weekly
- Experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL
- Working experience with data modelling, data access, schemas, and data storage techniques within Snowflake
- Must have great communication skills and the ability to collaborate cross functionally
- Working experience with batch and real-time data processing frameworks
- 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 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 SQL Server Integration Services
- 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 65,500.00 - 98,300.00 per year
Compensation:
Compensation includes a base salary of $65,500.00 - $98,300.00. 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.
Top Skills
Aws Data Tools
Business Intelligence Tools
Etl Tools
MySQL
Postgres
Postgres
Python
Snowflake
SQL
Cox Enterprises Foothill Ranch, California, USA Office





View Gallery
Foothill Ranch, CA, United States
Similar Jobs at Cox Enterprises
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Client Performance Manager III ensures client retention through engagement, analyzes account performance, and drives product utilization while coordinating with cross-functional teams.
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Executive Assistant provides administrative support to VPs, managing schedules, travel, and meetings while maintaining confidentiality and professionalism.
Top Skills:
Apple SoftwareExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordMs Teams
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Data Scientist II develops analytics models, supports projects, presents findings, and contributes under direction from senior staff. Responsibilities include data analysis, model development, and keeping current with industry trends.
Top Skills:
PythonScikit-LearnSQLTensorFlow
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering