Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Lead Engineer - Data

Data EngineerData EngineerFull TimeRemote

Location

United States

Posted

7 days ago

Salary

Not specified

PythonJavaScalaGoSQLDBTBig QueryData PipelinesWorkflow Orchestration

Job Description

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

Role Description

This role involves having a significant impact on our data analytics systems by building and maintaining frameworks that ensure reliable data acquisition, validation, and loading.

  • Build and maintain production quality data pipelines between operational systems and BigQuery.
  • Implement data quality checks and monitoring processes for data accuracy.
  • Contribute to our ingestion framework utilizing various data load tool connectors.
  • Create and maintain comprehensive documentation for engineering processes.
  • Monitor and ensure observability of internal data pipelines.
  • Troubleshoot and resolve data pipeline issues.
  • Align source and staging layers in dbt systems to efficiency and availability standards.
  • Investigate and implement event-driven data movements and transformations.
  • Explore and implement analytic data storage formats.

Qualifications

  • Software development skills in Python, Java, Scala, or Go.
  • High proficiency in SQL.
  • Experience with data ingestion pipelines and workflow orchestration systems.
  • Knowledge of dbt or similar data transformation tools.
  • Highly motivated self-starter with problem-solving abilities.
  • Excellent communication skills for cross-functional collaboration.

Benefits

  • Fully remote work with a global culture.
  • Career growth pathways and defined development opportunities.
  • Open communication and transparency within teams.
  • Autonomy to innovate and contribute meaningfully.
  • In-person onboarding for new hires.
  • Global annual leave policy with 30 days off and dedicated shutdown days.

Job Requirements

  • Software development skills in Python, Java, Scala, or Go.
  • High proficiency in SQL.
  • Experience with data ingestion pipelines and workflow orchestration systems.
  • Knowledge of dbt or similar data transformation tools.
  • Highly motivated self-starter with problem-solving abilities.
  • Excellent communication skills for cross-functional collaboration.

Benefits

  • Fully remote work with a global culture.
  • Career growth pathways and defined development opportunities.
  • Open communication and transparency within teams.
  • Autonomy to innovate and contribute meaningfully.
  • In-person onboarding for new hires.
  • Global annual leave policy with 30 days off and dedicated shutdown days.

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