Data Engineer I

QUALIFICATIONS:

• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.

• 2+ years’ experience in data management area with a technical competencies demonstrated.

TECHNICAL SKILLS:

• File management skills.

• Knowledge of data manipulation languages.

• Understanding of root cause analysis.

• Knowledge of applicable development languages including but not limited to: SQL, Windows, Unix, HPCC.

Experience with Redshift, Tableau, Power BI, Looker and Data Stage preferred.

TECHNICAL SKILLS:

• File management skills.

• Knowledge of data manipulation languages.

• Understanding of root cause analysis.

• Knowledge of applicable development languages including but not limited to: SQL, Windows, Unix, HPCC.

Experience with Redshift, Tableau, Power BI, Looker and Data Stage preferred.


ACCOUNTABILITIES:

• Work on data transfers in various capacities including collection setup, data transfer setup, contributor/customer setup, etc.

• Basic database management ensuring structure and dataflow adheres to department standards.

• Perform daily data loads ensuring recurring updates are logged and tracked.

• Utilize various data workflow management and analysis tools.

• Write and review portions of detailed specifications for the development of system components of simple complexity.

• Complete simple data engineering bug fixes.

• Escalate issues and decisions to senior Data Engineering team members.

• Assist with process improvement and compliance to successfully and consistently deliver high-quality data services on a timely basis.

• Under the guidance of senior-level engineers, successfully implement processes, coding best practices, and code reviews.

• Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.

• Resolve basic technical issues as necessary.

• Keep abreast of new technology developments.

• All other duties as assigned.