Data Engineer Jobs

About The Position

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field; or equivalent practical experience
• Programming experience in Python; GoLang and Java preferred; Scala nice to have
• Understanding of data technologies including Snowflake, Spark, and SQL
• Experience with or eagerness to learn streaming data systems such as Kafka, Flink, or Kinesis
• Familiarity with workflow orchestration tools (e.g., Airflow) or willingness to learn
• Understanding of data modeling and software engineering best practices
• Strong communication and collaboration skills with growth mindset
• Entry Level (0-2 years): New graduates or early-career professionals with relevant coursework, internships, or personal projects
• Mid Level (2-5 years): Solid experience with data systems and data engineering
• Senior Level (5+ years): Proven track record of building and operating large-scale data systems with technical leadership experience

Nice To Haves

• Experience with cloud platforms, particularly Amazon Web Services (AWS)
• Background in digital advertising, programmatic systems, or ad measurement platforms
• Experience with containerization and orchestration (Kubernetes, Docker)
• Experience with data quality frameworks and automated validation pipelines
• Knowledge of statistical methods and data-driven performance analysis
• Experience with infrastructure-as-code and CI/CD automation
• Experience with large-scale reporting, data warehousing, or billing systems

Responsibilities

• Contribute to scalable, high-performance data pipelines for ingestion, transformation, and analytics across large-scale advertising datasets
• Support development and optimization of data models for reporting, billing, and campaign delivery systems
• Participate in building and maintaining batch and real-time data processing workflows handling billions of events daily
• Help ensure data quality, completeness, and accuracy through automated validation frameworks and reconciliation checks
• Contribute to Snowflake optimization including query performance and cost-efficient data processing patterns
• Support workflow orchestration for multi-stage data pipelines
• Follow engineering standards for CI/CD pipelines, test coverage, and deployment quality gates
• Collaborate with cross-functional and cross-site teams to translate business requirements into technical solutions
• Participate in architecture and design reviews for data systems
• Learn and apply data engineering best practices and operational excellence
• Develop prototypes and contribute to proofs of concept
• Adopt AI-assisted development practices and GenAI tool adoption

Benefits

• Medical
• Dental
• Vision
• Life Insurance
• 401(k)
• Employee Purchase Program
• Tuition Assistance (after 6 months)
• Paid Time Off
• Student Loan Program (after 6 months)
• Wellness Incentives