Job summary
Job post source
This job is directly from Cherry Bekaert
Job overview
The Senior Data Engineer at Cherry Bekaert leads the design, building, and management of enterprise data solutions and quality initiatives to support business analytics and decision-making.
Responsibilities and impact
The role involves data architecture support, data modeling, master and transaction data management, planning and delivering data integration solutions, ETL processes, database administration, requirements gathering, operational support, governance, and ensuring compliance with security and data privacy policies.
Compensation and benefits
The position offers a salary range of $86,350 to $140,000, an 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 innovate and engage in impactful work.
Work environment and culture
The company values inclusion, belonging, integrity, collaboration, trust, mutual respect, and offers flexibility to balance work and personal life.
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, recognized as a Great Place to Work.
Team overview
The Senior Data Engineer will join the Application and Analytics team, collaborating with executives and business leaders across Operations, HR, Finance, and Marketing.
Job location and travel
The position is remote within the U.S. with options to be based in Richmond, VA, Raleigh, NC, or Tampa, FL.
Application process
Applications are accepted for at least five calendar days and may remain open until a qualified candidate is selected; candidates must be eligible to work in the U.S. with no work sponsorship provided.
Unique job features
The role offers the chance to work independently on innovative data architecture and integration projects, collaborating directly with executive leadership to deliver best-in-class data platforms and analytics solutions.
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 showcase your experience with enterprise-wide data and analytics solutions, emphasizing your skills in SQL, Python, and ETL tools like Azure Data Factory, which are highlighted in the job description.
Highlight your ability to design and maintain data architecture and integration solutions, including experience with Microsoft SQL Server, APIs, and cloud platforms such as Azure and Databricks, to align with Cherry Bekaert’s needs.
Apply through multiple channels including Cherry Bekaert’s corporate careers site and LinkedIn to maximize your application visibility and ensure your resume reaches the hiring team.
Connect with current employees in Cherry Bekaert’s Application and Analytics team on LinkedIn; start conversations by referencing recent company news or asking about their experience working on data integration projects to break the ice.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data architecture,' 'data modeling,' 'ETL,' 'Azure Data Factory,' 'SQL Server,' and 'data governance' to improve your chances of passing automated screenings.
Use Jennie Johnson’s Power Apply feature to automate applying through multiple channels, tailor your resume for ATS, and identify relevant LinkedIn connections, allowing you to focus your energy on preparing for interviews and networking effectively.
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