Cloud Data Engineer

Kansas City, MO 64114

Employment Type: Contract Job Category: Data Engineer Job Number: Cg820151414 Compensation: $70-100 / hour

Job Description

Title: Cloud Data Engineer

Location: Kansas MO or Boston MA


Sterling has helped build careers for thousands of professionals like yourself. Our expert recruiters support you at every step in the process and as a Best of Staffing company, Sterling provides exciting work with exceptional employers across the U.S.

As a contract employee of Sterling, you are eligible to receive a Full Employee Benefits Package that includes paid time off, paid holidays, 3 medical plans to choose from, dental & vision plans, 401(k), and an Employee Stock Ownership (ESOP) plan.

Job Summary: 
I am looking for an experienced Cloud Data Engineer to join our team and help build and maintain   DeltaLake platform on the cloud, leveraging Databricks. As a Cloud Data Engineer, you will be expected to contribute to all stages of the data lifecycle, including data ingestion, modeling, profiling, quality, transformation, movement, and curation.

Job Duties:
  • Design, implement, and support on-premise and cloud-based data infrastructure that is resilient to disruptions and failures.
  • Provide subject matter expertise and hands-on delivery of data acquisition, curation, and consumption pipelines on Azure, Databricks, AWS, and Confluent.
  • Maintain the current and emerging state-of-the-art compute and cloud-based solutions and technologies.
  • Enhance and support corporate SQL, DWH assets, and streaming data solutions.
  • Ensure high uptime for all data services and consider enhanced solutions through scheduled or event-driven design.
  • Bring multi-cloud/cross-platform agnostic technologies and practices into the system to enhance reliability and support rapid scaling of the business's data needs.
  • Scale up our data infrastructure to meet cross-functional, multi-industry business needs.
  • Develop, leverage, and maintain end-to-end data pipelines in production.
  • Build effective relationships with internal stakeholders.
  • Have familiarity with the technology stack available in the industry for metadata management, including Data Governance, Data Quality, MDM, Lineage, and Data Catalog.
  • Have hands-on experience implementing analytics solutions leveraging Python, Spark SQL, Databricks Lakehouse Architecture, and orchestration tools like Kubernetes and Docker.

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a strong background in data infrastructure design and implementation.
  • Hands-on experience with cloud-based data platforms like Azure, AWS, and Databricks.
  • Strong proficiency in SQL, Python, and Spark.
  • Familiarity with metadata management tools and practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills.
  • Ability to work independently and as part of a team.

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identify, national origin, disability, protected veteran status, or genetic information.

Meet Your Recruiter

Mary Gallian

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