Senior Data Engineer- Contractor

Remote, United States

Park Place Technologies

Park Place Technologies is a global data center and networking optimization firm. We support your server, storage, & network environments.

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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:

· 7+ years of industry experience in SQL Data Engineering

· 4+ years object-oriented programming experience in industry

· C# experience & Python related to Data Engineering (spark, pandas, etc) experience desirable

· 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%

 

 

 

 

 

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by calling 1-877-778-8707.

 

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 careers@parkplacetech.com. Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Azure Data Analytics Data pipelines Data quality Data warehouse Engineering Machine Learning OOP OpenAI Pandas Pipelines Python SDLC Spark SQL

Regions: Remote/Anywhere North America
Country: United States

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