Data Engineer, Senior

• Client laptop will be provided. In case of delay, a vendor-provided or personal laptop that can connect to Citrix/VDI may be used in the interim.

• All other equipment must be provided by the vendor or may use their personal

• Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed.

• Partners with various departments to understand and incorporate standards information and requirements into work procedures.

• Deploys machine learning algorithms in production environments.

• Resolves 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.

• Works on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions

• Plans work to meet assigned general objectives; progress is reviewed upon completion and solutions may provide an opportunity for creative/non-standard approaches.

• Communicates (oral and written) recommendations.

• Mentors/provides guidance to less experienced colleagues.

• Experience with data engineering / modeling
• interpersonal skills and the ability to explain technical issues to non-technical people
• Snowflake / Fabric experience, * BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience., * 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.

The hourly rate for this position is between $104.00-$100.00 per hour. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].