Data Engineer II

Cox Communications•Atlanta, GA

1d•Hybrid

About The Position

The Data Engineer II processes structured and unstructured data, validates data quality, and develops and supports data products. The role contributes to Agile planning, provides advice and guidance, and monitors emerging technologies. The position is hybrid, with the ability to work remotely part of the week, and requires living within a commutable distance of Atlanta, Georgia. Travel is 5% of the time, and the work shift is day. Compensation includes a base salary range of $89,400 to $134,000, with possible additional incentive compensation. The role requires authorization to work in the United States without current or future employer sponsorship. A pre-employment drug test is required; the company states that it does not currently test for marijuana for this position.

Requirements

Currently authorized to work in the United States for any employer without current or future sponsorship; OPT, CPT, STEM/OPT, and visa sponsorship are not available.
Live within a commutable distance of Atlanta, Georgia.
Bachelor’s degree in Computer Science or a related field and at least 2 years of related Data Engineering experience, or a master’s degree and at least 1 year of professional Data Engineering experience.
Professional Data Engineer experience beyond internships.
Working experience with batch and real-time data processing frameworks.
Working experience with data modeling, data access, schemas, and data storage techniques within Snowflake.
Working experience designing, developing, and implementing highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems.
Working experience with relational databases such as SQL, MySQL, Postgres, or PostgreSQL.
Working experience with business intelligence tools and platforms.
Working experience with data quality tools.
Working experience with application lifecycle methodologies such as waterfall, Agile, or iterative.
Experience with ETL processes and tools.
Experience working with Git.

Nice To Haves

Scrum Developer Certification or equivalent.
Working experience with Sisense, Tableau, or Microsoft Power BI platforms.
Working experience with data modeling.
Working experience with the Snowflake ecosystem.
Working experience with AWS data tools such as Database Migration Service.
Working experience with Python.
Experience working with Jira, Rally, or similar tools.

Responsibilities

Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
Understand and enforce appropriate data master management techniques.
Ensure data quality and implement tools and frameworks to automate the identification of data quality issues.
Work with internal and external data providers on data validation, provide feedback, and make customized changes to data feeds and mappings.
Partner with analytics teams to understand their day-to-day challenges and design viable data solutions.
Recommend improvements to processes, technology, and interfaces to improve team effectiveness and reduce technical debt.
Implement and optimize data solutions in enterprise data warehouses and big data repositories.
Install, maintain, monitor, and support business intelligence, distributed computation, and big data analytics tools.
Provide ongoing support, monitoring, and maintenance of deployed products.
Participate in the engineering community, keep up to date on data technologies and best practices, and share insights within the organization.

Benefits

Flexible paid vacation, subject to duties and company needs.
Seven paid holidays per calendar year.
Up to 160 hours of paid wellness time annually for the employee’s or family members’ wellness.
Bereavement leave.
Time off to vote.
Jury duty leave.
Volunteer time off.
Military leave.
Parental leave.
Benefits may include medical, dental, and vision insurance.
401(k) retirement planning.
Paid sick leave.
Flexible vacation, wellness days, and/or PTO.