Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $220k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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People Data Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

People Data Labs is a data infrastructure company that provides large-scale person and company datasets via developer-friendly APIs and data enrichment services. Their platform offers identity resolution, contact and firmographic enrichment, and data delivery tools used by sales, marketing, recruiting, and risk teams. They sell primarily to businesses through a SaaS/API model and emphasize data quality, coverage, and privacy/compliance capabilities.

📋 Description

• Build infrastructure for ingestion, transformation and loading of increasing data volumes from varied sources using Spark, SQL, AWS and Databricks • Build an organic entity resolution framework to merge hundreds of billions of individual entities into clean, consumable datasets • Develop CI/CD pipelines and anomaly detection systems to continuously improve production data quality • Develop solutions to undefined data engineering and data science problems • Collaborate with teammates, managers and stakeholders while scoping projects and communicating progress and blockers

🎯 Requirements

• 5-7+ years of industry experience with clear examples of strategic technical problem-solving and implementation • Strong software development fundamentals • Experience with Python • Expertise with Apache Spark (Java, Scala, and/or Python-based) • Experience with SQL • Experience building scalable data processing systems from the ground up • Experience using developer-oriented data pipeline and workflow orchestration, such as Airflow, dbt, dagster or similar • Knowledge of modern data design and storage patterns, including incremental updating, partitioning and segmentation, rebuilds and backfills • Experience working in Databricks, including Delta Live Tables and data lakehouse patterns • Experience with cloud computing services, such as AWS, GCP, Azure or similar • Experience with data warehousing, such as Databricks, Snowflake, Redshift, BigQuery or similar • Understanding of modern data storage formats and tools, such as Parquet, ORC, Avro and Delta Lake • Ability to balance high ownership and autonomy with collaboration • Ability to work effectively remotely and proactively manage blockers, reach out, ask questions and participate in team activities • Strong written communication skills on Slack/Chat and in documents • Experience writing data design documents, including pipeline design, dataflow and schema design • Ability to scope and break down projects and communicate progress and blockers effectively • Professional experience with Spark or PySpark • Experience with medallion architecture • Authorization to work in the United States • Degree in a quantitative discipline is listed as a nice to have, not a requirement

🏖️ Benefits

• Stock • Competitive Salaries • Unlimited paid time off • Medical, dental, & vision insurance • Health, fitness, and office stipends • The permanent ability to work wherever and however you want