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Senior Data Engineer

Remote Full-time $190K/yr - $210K/yr

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Experience Level

Senior

Qualifications

Candidates should possess a robust background in data engineering, including experience in building scalable data pipelines and working with large datasets. Strong analytical skills and the ability to communicate complex technical concepts clearly are essential.

About the job

As a note for all engineering positions: in light of the increase in fraudulent applications and AI-driven candidate impersonation, we have instituted rigorous measures throughout the hiring process to ensure the authenticity of candidates.

About Us

At People Data Labs (PDL), we pride ourselves on being the premier provider of people and company data. Our mission is to handle the complexities of data collection and standardization, enabling our clients to concentrate on developing and scaling innovative, compliant data solutions. Our primary focus is to deliver the highest quality data available by integrating thousands of responsibly sourced datasets into a single, developer-friendly source of truth. Leading organizations worldwide rely on PDL’s workforce data to enhance recruiting platforms, power AI models, create targeted audiences, and much more.

We seek team members who embody a strong sense of ownership while embracing a collaborative spirit. Our clients face intricate challenges, and we can only help them succeed as a united team. Our Data Engineering Team is the driving force behind our success, and we are on the lookout for top-tier talent.

If you aspire to be part of a team exploring the next frontier of data-as-a-service (DaaS) with significant autonomy and opportunities for impactful contributions, this role may be perfect for you. We value engineers who are thoughtful, innovative, and willing to boldly experiment. At PDL, we embrace failure as long as it leads to learning and growth.

Key Responsibilities

  • Develop infrastructure for the ingestion, transformation, and loading of an ever-increasing volume of data from diverse sources utilizing Spark, SQL, AWS, and Databricks.

  • Create an organic entity resolution framework capable of accurately merging hundreds of billions of individual entities into clean, usable datasets.

  • Design and implement CI/CD pipelines and anomaly detection systems aimed at continuously enhancing the quality of data we deliver to production.

  • Innovate solutions for complex, often ill-defined data engineering and data science challenges.

Required Technical Skills

  • 5-7+ years of relevant experience with demonstrable examples of strategic technical problem-solving and implementation.

  • Solid grounding in software development principles.

  • Proficiency in Python.

  • Expertise in Apache Spark (Java, Scala, and/or Python-based).

  • Familiarity with AWS services and data engineering best practices.

About People Data Labs

People Data Labs is dedicated to providing the highest quality people and company data. Our innovative solutions empower organizations to harness the power of data for improved decision-making and strategic initiatives. Our commitment to compliance and quality sets us apart as a trusted partner in the data industry.

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