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Senior Software Engineer (Data Pipelines)

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Onsite

Senior Software Engineer (Data Pipelines)

Wpromote

Senior Software Engineer (Data Pipelines)

Skills

Google Cloud PlatformSQL QueriesLookerData EngineeringPythonTesting & QAPostgreSQLGitGrafanadbtPrometheusGitHubKubernetesApache AirflowComplianceTerraform

1 month ago

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Important information


Contract type:

Permanent

Salary:

$155,000 – $180,000 / year

Location:

United States

Work mode:

Onsite

Published on:

13 September 2026

What they need


  • As a Senior Engineer, you will play a crucial role in the development, optimization, and automation of our data pipelines.
  • You will lead complex data projects, architect technical initiatives, and ensure the scalability and performance of our data solutions.
  • Your role will involve strategic planning, collaboration with senior management, and mentoring other engineers.
  • You will be responsible for pushing the delivery speed and quality of our data ELT, leading the implementation of innovative tooling and architecture patterns, and fostering a culture of data engineering excellence
  • Acting as a technical leader and Subject Matter Expert (SME) in data pipeline automation and workflow orchestration
  • Designing, implementing, and maintaining complex, reliable, data solutions with a focus on automation using Airflow, dbt, and Google Cloud data products
  • Managing a large portfolio of dbt models, leveraging macros and DRY patterns
  • Advocating for test-driven development and assisting QA in developing a robust and reliable process for continuous integration and delivery
  • Monitoring, troubleshooting, and optimizing the performance of data pipelines and workflows
  • Architecting solutions and reusable patterns that scale with business needs
  • Providing implementation, configuration, and deployment documentation
  • Proactively addressing issues and problems, generating and implementing innovative solutions
  • Participating in all agile ceremonies, including daily standups and regular sprint planning
  • Mentoring other engineers and fostering a culture of technical excellence
  • Staying up-to-date with the latest industry trends and technologies to drive continuous improvement and innovation in data engineering practices
  • Ensuring data security, governance, and compliance with relevant standards and privacy restrictions

Benefits

  • Half-day Fridays every Friday
  • 3 different medical plans to suit your needs, including a plan under $10 per month, as well as dental, vision, disability, and life insurance
  • 401(k) with company matching
  • Free, confidential Employee Assistance Program
  • Free weekly virtual workout classes
  • 100% paid parental leave policy for birth, adoption, and foster placement
  • Medical and dependent care FSAs
  • LinkedIn learning and access to internal training and development
  • Unlimited PTO
  • Organizational transparency - our c-suite and senior leadership are easily accessible to all employees, they share business updates, and recognize top employees through a monthly all-hands and a weekly CEO message
  • Virtual experiences, from Slack cooking challenges to trivia tournaments and employee awards
  • Wprotege mentorship program- Expertise in building and automating ETL/ELT pipelines using Airflow and DAG-based workflow management software. Airbyte for data ingestion is a plus, but not required
  • Familiarity with version control systems and CI/CD tools like GitHub Actions
  • Ability to influence and guide cross-functional teams and projects
  • Exceptional problem-solving skills and technical leadership
  • Mastery of Python or comparable scripting language, API integrations, and software architecture
  • Good understanding of business intelligence tools like Looker or comparable alternatives
  • Strong command of agile methodologies, continuous integration, and test-driven development
  • Deep experience with databases like PostgreSQL and BigQuery, including query optimization for performance and cost
  • Proficiency with advanced data formats (Parquet, Avro, Hive, JSONL) and data integration techniques
  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana) is a plus
  • Deep experience managing dbt models using macros and dbt tests
  • Experience with Google Cloud Platform, Kubernetes, and managing infrastructure as code using Terraform
  • Minimum 7+ years of experience in software development, with extensive experience in Python, SQL, and data pipelines

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