Sr. Data Engineer

Park Place Technologies, LLC; Highland Heights (OH); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Park Place Technologies, LLC is seeking a Senior Data Engineer to design and implement data pipelines, mentor junior engineers, and collaborate with analysts to translate business needs into scalable data solutions. The role emphasizes Azure Synapse, Spark, Python, and ML tooling within a hybrid environment.

The successful candidate will guide the data engineering team, ensure data quality, and help optimize performance across data warehouse and lakehouse architectures.

Qualifications

• 4+ years of Python development in data engineering.
• 4+ years SQL experience in data engineering.
• Experience designing complex data pipelines with data quality and consistency.
• Strong understanding of data warehouse and delta lake concepts.
• Solid data analytics background.
• Solid understanding of the Software Development Life Cycle.

Responsibilities

• Implement pipelines to move raw data in Azure Synapse using Spark, Python, SQL and C# in line with established standards.
• Develop machine learning and regression analysis skills using Spark-Python-Pandas, OpenAI and Azure ML.
• Mentor other Data Engineers, especially juniors.
• Work with Data Analysts and Business Analysts to clarify requirements and guide execution.
• Provide peer review to ensure coding standards.
• Demonstrate mastery of the Software Development Life Cycle.

Skills

Python Development

SQL

Data Pipelines

Azure Synapse

Spark

Pandas

OpenAI

Azure ML

SDLC

Education

Bachelor’s Degree

Tools

Azure Synapse

Spark

Pandas

Job description

Cleveland Headquarters Office
Highland Heights, OH 44143, USA

• Hybrid
• IT/IS
• Full-Time
• Requisition #: SRDAT006490

Description

The Senior 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 Senior 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, openai 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:

• 4+ years of experience in Python development related to data engineering (spark, pandas, etc.).
• 4+ years of experience in SQL related to data engineering.
• 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:

• Familiarity with Machine Learning and AI
• Web Development is a plus.

Education:

• Bachelor’s Degree or Relevant Certifications & equivalent years of experience

Travel:

• <10%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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