Senior Data Engineer

Goodway Group

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Own delivery of production-grade data systems including resilient data pipelines and platforms
  • Drive system design for data architecture, including data models and storage solutions
  • Ensure high standards for code quality, reliability, and testing
  • Translate business needs into technical solutions that support actionable insights
  • Collaborate across engineering, product, and data teams to define requirements
  • Mentor and unblock other engineers through code reviews and technical guidance
  • Identify and mitigate risks related to scalability and data integrity
  • Improve systems, tools, and processes for testing, observability, and deployment

Requirements

  • 5+ years of experience in data engineering or related fields
  • Strong experience building and maintaining scalable batch or streaming data pipelines
  • Proficiency in SQL and at least one programming language such as Python or Scala
  • Experience with modern data platforms like Snowflake, BigQuery, Redshift, or Databricks
  • Familiarity with orchestration tools like Airflow or Dagster
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Ability to design scalable data systems and understand architecture patterns
  • Strong communication skills for documentation and cross-functional collaboration

About the Company

Goodway Group is an independent and remote-first media and marketing services firm with a 90+ year history. Recognized as one of AdAge's Best Places to Work, the company combines the security of an established firm with a start-up feel, serving as a leading data-driven digital media and marketing services provider.

Skills & tools

PythonSQLSnowflake

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years data engineering experience
  2. 02Scalable data pipeline development
  3. 03SQL proficiency
  4. 04Python, Scala, or similar
  5. 05Modern data platforms (Snowflake, BigQuery, etc.)
  6. 06Orchestration tools (Airflow, Dagster)
  7. 07Cloud platforms (AWS, GCP, or Azure)
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