Data Engineer II

Cox Enterprises, Inc.; Atlanta (GA); In loco; USD 95.000 - 140.000; Tempo pieno

Descrizione del lavoro

Cox Enterprises, Inc. is seeking a Data Engineer II to process structured and unstructured data, ensure data quality, and support data products. You will participate in Agile planning, advise on data solutions, and monitor emerging technologies within the analytics team.

The role involves building and maintaining data pipelines, data models, and data feeds in Snowflake and enterprise data warehouses, with a focus on scalable, high-volume systems and BI tooling.

Competenze

• Requires work authorization for the U.S. without sponsorship.
• Live within commutable distance to Atlanta, GA.
• 2+ years data engineering experience or 1 year with a Master’s.
• Experience with batch and real-time data processing frameworks.
• Experience with data modelling, data access, schemas, and Snowflake.
• Experience with relational databases and BI platforms.
• Experience with ETL processes and source-to-target mappings.
• Experience with Git and development lifecycles (waterfall/agile).

Mansioni

• Process structured and unstructured data using batch and real-time frameworks.
• Enforce data master management techniques and data quality controls.
• Validate data quality and automate issue detection tools.
• Collaborate in Agile planning to design viable data solutions.
• Develop and optimize data solutions in data warehouses and big data stores.
• Install, maintain, monitor, and support BI and analytics tools.
• Provide ongoing support and maintenance for deployed data products.
• Stay current with new data technologies and share insights.

Conoscenze

Batch & real-time processing

Data quality

Agile methodologies

Data modelling

SQL databases

ETL processes

Git workflows

Formazione

Bachelor’s degree in Computer Science or related field

Master’s degree with 1 year of data engineering experience

Strumenti

Snowflake

SQL / MySQL / PostgreSQL

Git

Jira / Rally

AWS data tools (e.g., DMS)

Python

BI tools (Tableau/PowerBI)

Descrizione del lavoro

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

• 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