> Markdown version of [/jobs/ext/3952466-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3952466-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer

- **Company:** Spokeo, Inc.
- **Location:** Pasadena, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Internship / Graduate position
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Information Systems, Computer Programming, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Distributed Systems, Amazon DynamoDB, Elasticsearch, Data Flow Control, Python (Programming Language), SQL Databases, Enterprise Software Applications, Apache Spark, Electronic Medical Records, Pyspark, Infrastructure Automation Frameworks, Information Technology, Non-relational Database, Entity Resolution, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/222c8452-f317-4291-a8a9-f39367eeafef/senior-data-engineer

## About the Role

* Required: 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.
 * Required: 5+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS and utilizing EMR.
 * Required: 5+ years of hands-on programming experience with Python.
 * Required: 5+ years of professional experience working in big data ecosystems; Spark is required; PySpark is preferable.
 * Required: 5+ years of experience with SQL, schema design, and dimensional data modeling.
 * Required: 5+ years of professional experience working with dataflow orchestration tools, such as Airflow.
 * Required: 2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.).
 * Required: A bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field is required.

## Description

As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems, including ETL pipelines, 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 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, 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 that 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.