AdTechTalent
Engineering3 days agoOn-site

The Trade Desk

Senior Data Engineer

senior software engineerdata engineerdata pipelinesETLELTSnowflakeDatabricksSparkPythonScalaJavaAirflowDagsterGlueSQLdata modelingdata qualityCI/CDGitcloudcontainerizationDockerKubernetesdata warehousementoringoperational excellence

Key details

Salary

$125K – $229K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Bellevue, United States

Full job description

The Trade Desk seeks a Senior Software Engineer – Data Engineer to build reliable, scalable enterprise data solutions within the Technology Operations group. Responsibilities include owning complex data pipelines end to end, designing scalable ETL/ELT pipelines using Snowflake, Databricks, Spark, and cloud storage, driving data modeling and warehouse design, implementing data quality checks and monitoring, collaborating with stakeholders to translate business needs, proposing technical improvements, mentoring engineers, and improving system performance and observability. Requirements include a bachelor's degree or equivalent experience, 6-8+ years in software or data engineering, strong SQL and data modeling skills, hands-on experience with Snowflake and/or Databricks, proficiency in Python, Scala, or Java, familiarity with Spark, experience with ETL tools like Airflow or Dagster, knowledge of Git and CI/CD, and experience with data quality and operational support. Preferred qualifications include experience with petabyte-scale data, governance and compliance, containerization, and AdTech or analytics domains. The role is full-time, senior level, located in Bellevue, WA. Salary range is $124,900 to $228,900 USD. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, sick and vacation time, paid holidays, stock purchase plans, and variable incentives.

What you'll do

  • Own complex data pipelines end to end, designing, building, and operating scalable batch and near-real-time ETL/ELT pipelines using Snowflake, Databricks, Spark, and cloud storage
  • Drive data modeling and warehouse design, defining and implementing dimensional models, data marts, and curated datasets balancing performance, usability, and governance
  • Implement robust data quality checks, validations, monitoring, and alerting to ensure data accuracy, freshness, and trust
  • Collaborate with product managers, BI teams, data scientists, and internal business teams to translate business needs into well-designed data solutions
  • Propose technical improvements, review designs, and influence standards while aligning with broader platform and architectural direction
  • Mentor and provide technical guidance through code reviews, pairing, and documentation; help mid-level and junior engineers grow in ownership and quality
  • Improve performance, scalability, cost efficiency, and observability of data systems
  • Participate in on-call and incident response as needed

Requirements

  • Bachelor's degree in computer science, information security, or a related field, or equivalent work experience
  • Masters degree preferred
  • 6-8+ years of professional experience in software or data engineering
  • Strong expertise in SQL and data modeling for analytics and reporting
  • Hands-on experience with Snowflake and/or Databricks modern data warehouse concepts
  • Experience building and operating ETL/ELT pipelines using tools such as Airflow, Dagster, Glue, or similar
  • Proficiency in Python, Scala, Java, or similar languages
  • Familiarity with Spark-based data processing
  • Solid understanding of version control (Git) and CI/CD practices
  • Experience with data quality, observability, and operational support
  • Ability to independently deliver complex data solutions and make sound technical tradeoffs
  • Pragmatic and detail-oriented approach
  • Collaborative and influential communication skills
  • Continuous learning mindset

Tech stack

SQLSnowflakeDatabricksSparkPythonScalaJavaAirflowDagsterGlueGitCI/CDDockerKubernetes

Benefits

Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependentsRetirement benefits such as a 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time up to 120 hours through the first year and 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseEligibility for stock-based compensation grants based on company and individual performanceVariable compensation-based incentives and commissions depending on role

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