Senior Data Engineer
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:
- Microsoft Cloud Certification
- Familiarity with Machine Learning and AI
- Web Development is a plus.
Education:
- Bachelor’s Degree or Relevant Certifications & equivalent years of experience
Travel:
- <10%
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Skills Required
- 4+ years of Python development experience related to data engineering, including Spark and Pandas
- 4+ years of SQL experience related to data engineering
- Experience designing and implementing complex data pipelines with data quality and consistency
- Understanding of data warehouse and Delta Lake design concepts
- Data analytics experience
- Understanding of the Software Development Life Cycle
- Bachelor's degree or relevant certifications and equivalent years of experience
- Microsoft Cloud Certification
- Familiarity with machine learning and artificial intelligence
- Web development experience
Park Place Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Park Place Technologies and has not been reviewed or approved by Park Place Technologies.
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Healthcare Strength — Healthcare coverage is presented as at‑market or better, with comprehensive medical, dental, and vision offerings for employees and families. Wellness resources and employer‑verified benefit listings reinforce strong core coverage.
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Retirement Support — A 401(k) program is emphasized, with indications of employer matching that strengthen retirement readiness. Public benefits materials point to a solid retirement foundation.
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Wellbeing & Lifestyle Benefits — Wellbeing programs span a global wellness portal, biometric screenings, yoga, smoking‑cessation support, and on‑site amenities at the Cleveland HQ. Onsite childcare and wellness rooms further signal investment in everyday wellbeing where available.
Park Place Technologies Insights
What We Do
Park Place Technologies is an IT company that provided organizations around the globe with post-warranty maintenance and support solutions.
