Data Engineer II - Hybrid CLE- Azure Synapse

This role will be in-office at our Highland Hts., OH Headquarters, 4 days per week. Only candidates immediately available to commute will be considered.

Who We Are:

Park Place Technologies is a global data center and networking optimization firm. Powered by the world’s largest on-the-ground engineering team, a robust group of advanced engineers and our fully staffed, 24x7x365 Enterprise Operations Center, we offer a robust portfolio of IT solutions to optimize networking and data center Uptime and performance. As the industry leader, our 2500 Park Place Associates provide support to 21,000+ customers in more than 154+ countries. We are proud to service 90% of Fortune 500 companies and 40% of Forbes 100 clients.

Our company’s strength and success are a credit to our Associates, and Park Place Life is how we communicate and deliver our culture internally. We have been awarded as a NorthCoast 99 “Best Workplace” winner for 10 consecutive years in recognition of our employee commitment. Park Place Life is about collaboration, responsiveness, diversity, and integrity, and represents everything that makes our company great and our culture unique.

Top Rated Benefits We Offer:

We cover 100% of your Healthcare benefits!

Flexible Vacation to promote work-life balance.

12 weeks of Paid Maternity Leave

Profit Sharing

401K matching contributions and earnings are always 100% vested.

Plus, much more!

Position Overview:

The Data Engineer is responsible for collecting, designing, and converting complex data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal, which enables our organization to utilize data for performance evaluation and optimization. As a Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively. This includes setting up guardrails and protocols that help the team achieve their goals efficiently while maintaining the quality of their work. Your role is crucial in ensuring the team's success, as you play a significant part in streamlining their workflow and maximizing their productivity.

What you’ll be doing:

Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.

Developing machine learning and regression analysis skills in spark-python-pandas, open AI and Azure ML.

Mentoring other members of the Data Engineering team, specifically those in a junior role

Work closely with Data Analysts and Business Analysts to clarify their requirements and provide clear guidance on the execution process.

Providing peer review support to work produced by others, confirming use of relevant coding standards.

Demonstrate mastery of the Software Development Life Cycle.

What we’re looking for:

Experience in Python development related to data engineering (spark, pandas, etc.).

Experience in SQL related to data engineering.

Experience with spark-python-pandas, open AI and Azure ML are preferred.

Experience in designing and implementing complex data pipelines ensuring data quality & consistency.

Solid understanding of data warehouse and delta lake design concepts

Solid data analytics background

Solid understanding of the Software Development Life Cycle

Bonus Points:

Microsoft Cloud Certification

Familiarity with Machine Learning and AI

Web Development is a plus.

Education:

Bachelor’s Degree in Data Sciences or related degree

Travel:

<10%

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Park Place Technologies is an Equal Opportunity Employer M/F/D/V.

Park Place Technologies has an in-house recruiting team that focuses exclusively on the hiring needs of our company. We are not currently accepting additional third-party agreements or unsolicited resumes. If you would like to be considered as a preferred partner with Park Place Technologies, please submit your detailed information to . Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.