Piper Companies | Hiring | Sr. Data Engineer | Remote | BigDataKB.com | 2022-09-29

Job Location: Remote

Piper Companies is looking for a Sr. Data Engineer to join an engineering team for a company that is a trusted digital commerce platform for brands and shoppers; known for creating delightful experiences that save people time and money. This role is a direct hire opportunity and will be fully REMOTE, the candidate must sit in FL, GA, MA, MD, NC, NH, OH, PA, SC, VA of the United States.


Please, NO C2C applications. Working with W2 only.


Responsibilities for the Sr. Data Engineer:

  • Must have the ability to work with and assemble large complex sets of data to begin to recognize insights
  • Be able to upkeep and optimize existing reports
  • Provide data engineering expertise by recognizing and suggesting workable solutions to the engineering team and the business
  • Partner with business and tech stakeholders to collect technical and functional requirements which obliges a deep understanding of the MarTech/AdTech space
  • Stay informed on the latest tech trends and innovations, particularly in data integration, data management platforms, marketing automation, data management platform, mobile, and social media trends

Qualifications for the Sr. Data Engineer:

  • 5 years minimum experience of extensive work with:

o MongoDB

o Spanner

o Postgres

o GCP BigQuery

  • 5+ years of experience designing, building, and supporting real-time and batch data pipelines and analytical solutions

o Using Hadoop, Teradata, ETL tools like Informatica, Talend, Data Fusion, SSIS

  • 3 years of experience with Python
  • 1+ years of experience in delivering data solutions on cloud platforms (GCP or Azure)
  • Expertise working in data visualization tools such as Metabase/Looker/Tableau or equivalent


Compensation/Benefits for the Sr. Data Engineer:

  • Compensation: 120k-140k/yr. depending on years of experience
  • Comprehensive benefits package; Medical, Dental, Vision, 401k, and Paid Time Off

Keywords: Data Engineer, engineering team, problem solver, large datasets, developers and business stakeholders, engineering resources, develop algorithms, manage data streams, engineering team, data integration technologies, data pipelines, design and implement new solutions, Optimize, maintain existing reports, optimizing data delivery, scalability, automation, stakeholders, MarTech/AdTech space, technology trends, data integration, master data management, data management platforms, marketing automation, MongoDB, GCP BigQuery, Postgres, Spanner, Metabase, Looker, Tableau, Hadoop, Teradata, ETL tools like Informatica, Talend, Data Fusion, SSIS, Python, GCP, Azure, Cloud Composer, eCommerce, Bachelor’s degree, SDLC methodologies, Medical, Dental, Vision, 401k, Paid Time Off

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