Senior Data Engineer

Spokeo • USA

Company

Spokeo

Location

USA

Type

Full Time

Job Description

About Spokeo

Join our mission to make the world more transparent with data.

Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends reunite with families and protect against fraud. Additionally our 12 billion records and over 250 million unique profiles help business professionals locate people and assets research criminal investigation subjects and more.

Founded in 2006 we have grown to a remote-first company of nearly 200 dedicated employees with an average tenure of 4.5 years. Find out why we were named a “Best Company” for 2023 by Comparably for Women Compensation Happiest Employees Company Perks & Benefits and Work-Life Balance as well as “Best CEO” for co-founder Harrison Tang.

About this Opportunity

As a Senior Data Engineer at Spokeo you will develop optimize and improve our data systems such as ETL data pipeline storage and entity resolution. This involves working with infrastructure built in AWS including Airflow PySpark EMR S3 DynamoDB and more. This role will help build and improve data products automation platform features analytical software packages and data pipeline orchestration tools.

What you’ll do:

  • Build infrastructure and data automation pipelines for the ingestion processing and loading of data from various sources. Automate and integrate new components into the data pipeline.

  • Collaborate with stakeholders and data science teams to develop data products including entity resolution and best selection to efficiently execute product vision and strategy in alignment with organizational goals and priorities.

  • Create unit and stress test components to monitor technical performance and ensure identified issues are resolved.

  • Develop data analysis tools to provide data insights and capture key metrics.

  • Research solutions and maintain technical documentation.

  • Follow best practices for data governance quality cleansing and other ETL-related activities.

Who You Are:

  • 7+ years of development experience in data engineering within a production environment (internships and academic settings excluded).

  • 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.

  • 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 experience with SQL schema design and dimensional data modeling.

  • 2+ years of professional experience working with dataflow orchestration tools such as Airflow.

  • 2+ years experience with non-relational databases (e.g. DynamoDB Elasticsearch etc.).

  • Prior experience working with large data sets (>100M+ records).

  • Bachelor’s degree in Computer Science Information Systems Mathematics or a related field is required.

Working at Spokeo

Our mission is to advance transparency and to achieve that goal we rally around six core values: listening with empathy understanding the why clarifying with data innovating to learn collaborating to achieve and insisting on quality.

As a remote-first company we are able to hire team members residing in the following US states: AZ CA CO FL GA KY MD MI MO NH NJ NV NC PA SC SD TX VA WA or WY.

In addition to a highly competitive base salary our generous benefits include:

  • participation in an individual annual bonus

  • stock options

  • 401K

  • 100% medical/dental/vision coverage

  • unlimited PTO

  • mental health resources

  • paid home office equipment

  • fitness reimbursements

  • support paying for courses

  • and more

We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors including but not limited to marketplace competition job leveling experience and skills.

Note: You must be authorized to work for any employer in the U.S. Spokeo is unable to sponsor or take over sponsorship of one’s employment visa at this time.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow innovate create the best products and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current fully executed agreement on file and 2) being assigned to the open position (as a search) via our applicant tracking solution.

#LI-Remote

Apply Now

Date Posted

01/21/2025

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