Contract Senior Data Engineer
This is a remote 6-month contract opportunity working on either a 1099 or C2C basis if you have your own company established. We are not able to provide sponsorship for this role.
Who We Are...
Park Place Technologies is a global data center and networking optimization firm. Powered by the worlds 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.
Position Overview:
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 youll 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 were 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:
· Bachelors Degree or Relevant Certifications & equivalent years of experience
Travel:
· Apply Now
Who We Are...
Park Place Technologies is a global data center and networking optimization firm. Powered by the worlds 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.
Position Overview:
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 youll 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 were 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:
· Bachelors Degree or Relevant Certifications & equivalent years of experience
Travel:
· Apply Now