Senior Data Engineer

🔥 46 minutes ago

🇺🇸 United States – Remote

💵 $143.1k - $174.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Spokeo

WebsiteLinkedInAll Job Openings

51 - 200 employees

👥 B2C

☁️ SaaS

🔌 API

B2C • SaaS • API

<Spokeo> is a people-search and data aggregation service that lets users search by name, phone, email, or address to find contact information, location history, social profiles, property records, court records, and other public records. It combines billions of records from consumer and industry sources into concise, easy-to-read reports, offers account-based report updates, enterprise search capabilities, and an API for integration. Spokeo is positioned for individual consumers seeking to reconnect, identify callers, or verify sellers, while also offering paid services and tools for businesses; it states it is not an FCRA consumer reporting agency.

📋 Description

• Develop, optimize, and improve data systems, including ETL pipelines, storage, and entity resolution • Build infrastructure and data automation pipelines to ingest, process, and load data from various sources • Automate and integrate new components into the data pipeline • Collaborate with stakeholders and data science teams to develop data products • Create unit and stress-test components to monitor technical performance • Develop data analysis tools to provide data insights and capture key metrics • Follow best practices for data governance, quality, cleansing, and other ETL-related activities

🎯 Requirements

• 7+ years of development experience in data engineering within a production environment • Proven experience working with large datasets exceeding 100M+ records or multiple terabytes • 2+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS and utilizing EMR • 5+ years of hands-on programming experience with Python • 5+ years of professional experience working in big data ecosystems; Spark is required; PySpark is preferable • 3+ years of experience with SQL, schema design, and dimensional data modeling • 2+ years of professional experience working with dataflow orchestration tools, such as Airflow • 2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.) • A bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field is required

🏖️ Benefits

• Health insurance • 401(k) • Unlimited employee PTO • Bonus program • Equity plans