Data Engineer II
About The Position
The Data Engineer II processes structured and unstructured data, validates data quality, and develops, supports, and maintains data products. The role contributes to Agile planning, advises analytics partners on viable data solutions, and monitors emerging technologies and best practices. The position implements and optimizes data solutions in enterprise data warehouses and big data repositories, and installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools. It also provides ongoing support for deployed products and collaborates with internal and external data providers to validate data and refine data feeds and mappings. This is a hybrid role requiring the employee to live within a commutable distance of Atlanta, Georgia. Travel is 5%. The work shift is day shift. Applicants must be authorized to work in the United States without current or future sponsorship. Employment is contingent on clearing a pre-employment drug test; the company does not currently test for marijuana for this position.
Requirements
- Must currently be 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.
- Must 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, and Postgres/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.
- Must clear a pre-employment drug test.
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, including 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 that automate 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 mappings.
- Partner with the analytics organization to understand its 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, stay current on data technologies and best practices, and share insights within the organization.
Benefits
- Flexible paid vacation, subject to duties, company needs, and obligations.
- Seven paid holidays throughout the calendar year.
- Up to 160 hours of paid wellness time annually for the employee or family members.
- Bereavement leave.
- Time off to vote.
- Jury duty leave.
- Volunteer time off.
- Military leave.
- Parental leave.
- Potential health care insurance, including medical, dental, and vision coverage.
- Potential retirement planning benefits, including a 401(k).
- Potential paid time off, including sick leave, parental leave, flexible vacation, wellness days, and/or PTO.
- The position may be eligible for an incentive program.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
