Beghou Consulting LLC seeks Senior Data Engineers in Princeton, NJ.
- Contributes to the firm's in-house enterprise data platform (features, bug fixes, documentation, and training) with minimal guidance from senior team members; documents code and other project components. Develops an advanced understanding of the firm's in-house enterprise data platform architecture, databases, schema design, and the cloud.
- Implements innovative data engineering-based solutions independently within project scope; applies data engineering knowledge to projects and shares with the team.
- Trains individuals or smaller groups data engineering best practices.
- Communicates data engineering architecture knowledge in client selling situations; successfully translates client needs into action plans.
- Produces data engineering solutions and outlines the implementation of the solution framework.
- Leads code reviews and writes well-encapsulated DRY (Don't Repeat Yourself) code.
- Engages in implementation and architecture discussions with senior team members for the purpose of contributing to design ideas and best practices.
- Prepares presentation materials by synthesizing results and communicating information.
- Leads storyboarding presentations and effectively runs internal and client team meetings.
- Leads the work of teams and mentors junior members of the team by providing guidance, feedback, and encouragement to produce quality work.
- Fosters an innovative and inclusive team-oriented work environment.
- Will serve as a Professional Development Manager.
Telecommuting is permitted.
Requires a Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field plus 5 years of related experience. Requires 5 years of experience with the following: Python OR PySpark; Configuring and managing ETL pipelines for diverse datasets; Making and presenting technical architecture presentations to both technical and non-technical audiences. Requires 2 years of experience with the following: AWS and Azure cloud service offerings; Databricks platform. Telecommuting is permitted.
Requires a Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field plus 5 years of related experience. Requires 5 years of experience with the following: Python OR PySpark; Configuring and managing ETL pipelines for diverse datasets; Making and presenting technical architecture presentations to both technical and non-technical audiences. Requires 2 years of experience with the following: AWS and Azure cloud service offerings; Databricks platform. Telecommuting is permitted.
40 hours/week, $154,627 - $165,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at (Ref #97824) for consideration.
Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:
Health & Wellness:
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.
Work-Life Balance:
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility.
Financial Wellness:
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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