Job summary
Job post source
This job is directly from Cherry Bekaert
Job overview
The Senior Data Engineer at Cherry Bekaert plays a key role in designing and managing data solutions and quality initiatives to support reporting and analytics across the firm.
Responsibilities and impact
The role involves data architecture, modeling, integration, ETL processes, database administration, collaborating with business leaders, and ensuring compliance with security and governance policies.
Compensation and benefits
The position offers a salary range of $86,350 to $140,000, annual bonus, comprehensive medical, dental, vision insurance, disability and life insurance, paid time off, retirement plans, paid care leave, and other wellbeing programs.
Experience and skills
Candidates should have 3+ years of experience with enterprise data and analytics solutions, proficiency in SQL and Python preferred, experience with Databricks, Azure, Alteryx, ETL tools like Azure Data Factory, and working with APIs for Cloud and SaaS solutions.
Career development
Cherry Bekaert fosters a collaborative environment focused on career growth and continuous professional development with opportunities to learn from diverse professionals.
Work environment and culture
The company values inclusion, integrity, collaboration, trust, and mutual respect, offering flexibility and a supportive work environment.
Company information
Cherry Bekaert is one of the largest accounting and consulting firms in the U.S., providing assurance, tax, and advisory services nationwide and internationally.
Team overview
The Senior Data Engineer will join the Application and Analytics team, collaborating with data architects, engineers, and business partners across departments.
Job location and travel
The position can be based in Richmond, VA, Raleigh, NC, Tampa, FL, or remote within the United States.
Application process
Candidates must apply online, demonstrate eligibility to work in the U.S., and the position remains open until filled or cancelled, with no work sponsorship provided.
Unique job features
This role offers the unique opportunity to work directly with executive leadership and business units to build innovative data platforms and solutions that impact firm-wide decision making.
Company overview
Cherry Bekaert is a leading accounting and advisory firm that provides a wide range of services including audit, tax, and consulting to clients across various industries. The firm generates revenue through professional services fees, offering specialized expertise in areas such as risk management, transaction advisory, and business strategy. Founded in 1947, Cherry Bekaert has grown significantly over the decades, establishing a strong reputation for delivering tailored solutions that help businesses navigate complex financial landscapes and achieve their goals.
How to land this job
Position your resume to emphasize your experience with enterprise-wide data and analytics solutions, focusing on skills in SQL, Python, and ETL tools like Azure Data Factory to align with Cherry Bekaert's requirements.
Highlight your expertise in data architecture, data modeling, and integration, especially your ability to work with cloud platforms such as Azure and tools like Databricks and SSIS, as these are key components of the role.
Apply through multiple channels including the Cherry Bekaert corporate careers page and LinkedIn to maximize your visibility and chances of being noticed for the Senior Data Engineer position.
Connect with current Cherry Bekaert employees in the Application and Analytics team on LinkedIn; start conversations by complimenting recent company projects, asking about their experience working remotely, or inquiring how the team approaches collaboration with business leaders.
Optimize your resume for ATS by including keywords like 'data lakehouse,' 'data integration,' 'ETL,' 'Azure Data Factory,' 'SQL Server Administration,' and 'cloud integrations' to ensure it passes automated screenings effectively.
Use Jennie Johnson's Power Apply feature to automate tailored applications across multiple platforms and identify LinkedIn connections for networking, allowing you to focus more on preparing for interviews and skill enhancement.
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