Senior Data Engineer
Global Technical Talent, an Inc. 5000 Company · Dublin, CA · Yesterday
HybridInformation Technology$95–$100/hrContract
Key Responsibilities
- Conceptualize and generate infrastructure that allows big data to be accessed and analyzed.
- Partner with various departments to understand and incorporate standards information and requirements into work procedures.
- Deploy machine learning algorithms in production environments.
- Resolve application programming analysis problems of moderate to complex scope within procedural guidelines; may seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas.
- Work on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions.
- Plan work to meet assigned general objectives; progress is reviewed upon completion and solutions may provide an opportunity for creative/non-standard approaches.
- Communicate (oral and written) recommendations.
- Mentor and provide guidance to less experienced colleagues.
Required Skills
- 5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
- Experience with Snowflake and Microsoft Fabric.
- Experience with machine learning algorithm deployment.
- Business Intelligence and data access tool knowledge.
- Knowledge of software engineering principals such as unit testing, CI/CD, source control.
- Strong interpersonal skills and the ability to explain technical issues to non-technical people.
Education Requirements
- BA/BS in Computer Science, Management Information Systems, or related field of study, or equivalent experience.
About the Role
This role conceptualizes and generates infrastructure that allows big data to be accessed and analyzed. The Senior Data Engineer partners with various departments to understand and incorporate standards information and requirements into work procedures, and works on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions.