The Planet Group is actively hiring a Data Engineer for its Planet Equity Group division based in Westlake, OH. The role offers a minimum salary of $111,571 per year and is open to recent graduates with the right academic background. Understanding exactly what this company wants can sharpen your application significantly.
About The Planet Group and This Role
The Planet Group operates as a staffing and professional services firm with a broad client base across the United States. Planet Equity Group is one of its key divisions. Data Engineers placed here work across client sites nationwide, meaning flexibility and mobility matter as much as technical skill.
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This is not a remote-only position. The job posting clearly states a willingness to travel and relocate is required. Candidates who cannot commit to that requirement should consider whether this role fits their current situation before applying.
The starting salary sits at $111,571. For an entry-level Data Engineer role accepting candidates with no prior professional experience, that figure is competitive within the current market. The work itself covers a wide technical stack, which makes this an attractive launch point for early-career engineers.
What The Planet Group Looks for in a Data Engineer
The job description is detailed and specific. The company wants someone who can handle data modeling, data pipeline development, and cube development from day one. Academic training must cover these areas directly, not just peripherally.
Beyond technical depth, the role requires comfort across both development and operations. DevOps activities such as code reviews, testing, alerting, and incident analysis are explicitly listed. Engineers here wear multiple hats, and that expectation starts early in your tenure.
Client-facing work is also central to this position. You will provide services to clients located throughout the U.S. Strong communication and professional presentation matter as much as your ability to write a clean SQL query.
Required Education and Academic Coursework
A Bachelor's degree in Computer Science or a related field is mandatory. The Planet Group does not require prior professional experience, but your degree program must have included specific coursework. Missing any of these areas could disqualify your application.
Required coursework includes:
- Object-oriented programming
- System architecture
- Computer networks
- Advanced data structures
- Computer and network security
When you apply, be prepared to document these courses clearly. List them on your resume or include them in a cover letter. Recruiters screening applications will check for these specific qualifications before passing candidates forward.
Technical Skills You Need to Develop
The technology stack for this role centers heavily on Microsoft Azure. Familiarity with Azure's core data services is essential before you apply. Candidates who have hands-on experience, even through academic projects, will stand out immediately.
Key Azure services listed in the posting include:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Explorer
- Power BI
- Azure Data Lake
- Databricks
Relational database skills are equally important. The role covers schema design, SQL queries, views, stored procedures, and performance optimization. These are not optional areas. Practicing these skills through personal projects or academic work before your interview strengthens your position considerably.
ETL and ELT pipeline development also appear prominently. Understanding the difference between these approaches and being able to explain when to use each one is a reasonable expectation for technical interviews at this level.
Understanding the Hiring Process
The Planet Group follows a structured hiring process typical of professional services firms. Expect multiple stages before receiving an offer. Each stage filters candidates based on different criteria, so preparation at every level matters.
The general process looks like this:
- Application review: Recruiters screen for degree requirements and coursework alignment
- Initial recruiter call: A short phone screen covering background, availability, and willingness to relocate
- Technical screening: A coding or SQL assessment to gauge baseline competency
- Technical interview: Deeper questions on data engineering concepts, Azure services, and system design
- Final interview: Behavioral and situational questions, sometimes with a hiring manager or client-facing team member
- Offer stage: Background check and formal offer discussion
Because this role involves client services, the final interview may assess soft skills more heavily than you expect. How you explain technical decisions to non-technical stakeholders is something interviewers often probe at this stage.
Interview Tips for This Data Engineer Role
Technical interviews at data engineering roles typically test your ability to solve real problems, not just recite definitions. Prepare to walk through a data pipeline you have built or designed, even if it came from a class project or personal portfolio work.
Practice these specific areas before your interview:
- Writing complex SQL queries under time pressure
- Explaining the difference between ETL and ELT with real examples
- Describing Azure Data Factory pipelines and their components
- Discussing data warehouse design principles, including star and snowflake schemas
- Talking through a DevOps workflow including testing and incident response
Behavioral questions will also come up. The Planet Group places engineers with clients, so expect questions about handling ambiguity, working across teams, and adapting quickly to new environments. Use specific examples from your academic work, internships, or personal projects to answer these effectively.
Willingness to relocate and travel will likely come up early in the process. Be honest and direct about your flexibility. Hedging on this point can slow down or end your candidacy before the technical rounds begin.
How to Stand Out as a Candidate
The posting accepts candidates with no prior professional experience, which means competition will include both new graduates and career changers. Standing out requires demonstrating practical exposure beyond classroom theory.
Building a public GitHub portfolio with data engineering projects gives recruiters something concrete to evaluate. Projects using Azure services, even free-tier versions, show initiative and hands-on capability that a transcript alone cannot prove.
Certifications also carry weight in this field. The Microsoft Certified: Azure Data Engineer Associate certification directly aligns with the tools listed in this job posting. Earning it before applying signals both technical competence and genuine interest in the platform.
Tailoring your resume carefully matters more than most candidates realize. Mirror the language from the job description when listing your skills and coursework. Applicant tracking systems often filter on keyword matches before a human reviewer sees your application.
Salary and Growth Potential
The listed minimum salary of $111,571 is the floor, not necessarily the ceiling for negotiation. Data engineers with demonstrated Azure skills and strong academic records may have modest room to discuss compensation during the offer stage.
Career growth in this type of client-services environment can accelerate quickly. Exposure to multiple industries and data environments builds a broad skill set that is valuable in the long-term job market. Engineers who perform well often move into senior or lead roles within two to three years.
The travel and relocation requirement that some candidates see as a drawback can actually be a career asset. Working across different client environments builds adaptability and a professional network that a single-employer path rarely replicates at the same speed.
If this role aligns with your background and career goals, you can review the full job details and submit your application directly through the official listing at The Planet Group Data Engineer posting on Himalayas.
