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Data Engineer @Service Management Group (SMG)

[Hiring] Data Engineer @Service Management Group (SMG)

Mar 20, 2025 - Service Management Group (SMG) is hiring a remote Data Engineer. 💸 Salary: unspecified. 📍Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As a Senior Data Engineer at SMG, this is what you will do:

  • Lead by example in data engineering practices, demonstrating expertise in a variety of technologies, including but not limited to Python, SQL, dbt, Snowflake, Airflow, Kafka, and other relevant technologies in the data engineering domain.
  • Inspire and mentor data engineering teams, fostering a growth mindset and a collaborative environment.
  • Lead initiatives to rebuild the team and instill a culture of continuous learning and improvement.
  • Expertise in building deployment pipelines for data related workflows (e.g. Github Actions/Azure DevOps pipelines).
  • Collaborate with leadership to shape the company's vision for data engineering, providing valuable insights and guidance on technological strategies and opportunities.
  • Drive efforts to refactor and rebuild our aging data infrastructure, prioritizing scalability, reliability, and maintainability.
  • Identify and address areas of technical constraints in data engineering, implementing strategies to gradually reduce their impact on delivering value.
  • Champion modern data engineering practices, including data modeling, ETL processes, data quality assurance, and data pipeline orchestration.
  • Advocate for tidy code practices in data engineering, shepherd code review processes, and utilize modern code tooling to ensure high-quality software delivery.
  • Collaborate cross-functionally with other teams to solve complex technical challenges in data engineering and drive innovation across the organization.
  • Lead data engineering teams to deliver significant initiatives successfully, managing timelines, resources, and risks effectively.

Qualifications

  • Bachelor's degree in computer science, engineering, or related field or equivalent experience.
  • Extensive experience (4+ years) in data engineering, focusing on leading teams and initiatives to deliver value.
  • Proven expertise in various data engineering technologies, including but not limited to SQL, Python, dbt, Snowflake, Apache Spark, Kafka, Airflow, and other relevant technologies in the data engineering domain.
  • Strong understanding of modern data engineering practices, including data modeling, ETL processes, data quality assurance, and data pipeline orchestration.
  • Experience with data engineering tooling and platforms such as Databricks and Snowflake is highly desirable.
  • Excellent leadership and communication skills, with a record of leading efforts on collaborative and high-performing data engineering teams.
  • Ability to quickly learn and adapt to innovative data technologies as needed.
  • Ability to thrive in a dynamic, fast-paced environment with a growth mindset and a commitment to continuous learning.
  • Demonstrated ability to drive change and influence stakeholders at all levels of the organization.

Benefits

  • Work hard, have fun environment - We work hard to deliver a fulfilling, exciting workplace environment for each SMG employee.
  • Values driven culture where we connect, collaborate & co-create.
  • Remote first company (fully remote).
  • Unlimited PTO.
  • Tech provided.
  • Company sick pay.
  • Diverse, experienced, friendly team which will welcome you, support you and challenge you.
  • We are proud to be an equal opportunity employer.
  • We celebrate diversity and create an inclusive work environment in which all our colleagues experience belonging.

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📍 Be aware of the location restriction for this remote position: USA
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Data Engineer @Service Management Group (SMG)
Software Development
Salary 💸 unspecified
Remote Location
USA
Job Type full-time
Posted Mar 20, 2025
Apply for this position Unlock 54,746 Remote Jobs
📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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