Senior Data Pipeline Analyst

What You'll Do

Build Data Quality Expertise

• Master how our business entity data behaves as it flows through our pipeline: what transforms are applied at each stage, where quality issues emerge, and how changes impact downstream data
• Review production code to understand how data is processed and assess how proposed changes would impact data quality
• Create documentation and system maps that capture how data is processed, dependencies, and quality considerations

Drive Pipeline Improvements

• Partner with Engineering and Product on pipeline enhancements, bringing data quality insights, business impact assessments, and informed opinions on data requirements
• Validate improvements through rigorous testing and hands-on verification of data quality
• Translate data quality investigations into system-level improvement opportunities

Solve Complex Data Challenges

• Lead data improvement initiatives that require systems thinking and creative problem-solving (improving location verification, integrating new data sources, or solving novel extraction challenges)
• Tackle ambiguous problems through understanding processing logic, manual investigation, and cross-functional coordination
• Build repeatable approaches to testing, validation, and root cause analysis

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics or related technical roles with focus on data quality and pipeline systems
• Experience working with data pipelines, ETL systems, or data processing workflows where you understand how data moves through systems and what can go wrong
• Strong skills investigating data quality issues through profiling data, identifying anomalies, tracing root causes, and validating fixes
• Ability to understand data transformations by reviewing SQL, Python, Java, or similar code
• Strong programming skills in Python and SQL for data analysis, profiling, and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing well-defined analyses
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business needs
• Self-directed with strong ownership mentality; you drive your work forward and know when to seek input

Strongly Preferred

• Ability to work hybrid from our Vancouver, WA or Waltham, MA office locations
• Experience working with firmographic/company data in B2B context
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background in web data acquisition, data extraction, or data collection systems
• Knowledge of web data structures (HTML/DOM) and data extraction methodologies
• Experience designing validation strategies or testing frameworks for data quality
• Experience creating technical documentation or knowledge-sharing resources
• Track record of leading or co-leading cross-functional data projects