Senior Data Engineer – Data Platform | Reading, PA
Build the data platform behind next-generation fleet and telematics products in a new, well-funded product initiative. This onsite role offers an hourly of $50-$65 range based on experience, the opportunity to shape greenfield architecture, and hands-on ownership of scalable data pipelines and cloud data systems.
Quick Facts
- Location: Reading, PA
- Employment Type: Contract-to-hire
- Work Arrangement: Onsite
- Experience: 8+ years in data engineering with hands-on ownership of production data pipelines
Pay & Benefits
- $50-$65 hr (based on experience).
What You’ll Do
- Design, build, and maintain production-grade data pipelines and orchestration workflows from ingestion through transformation and serving.
- Develop and optimize SQL and PySpark solutions for large-scale distributed data processing.
- Tune cloud data warehouse performance, cost, scheduling, and resource usage as data volume grows.
- Build data quality checks, monitoring, observability, and alerting to identify issues before they affect downstream users.
- Partner with data science and product teams on feature engineering, analytics pipelines, and machine learning data preparation.
- Support incident response, root-cause analysis, documentation, and continuous improvement of the data platform.
- Contribute to architecture, tooling, and technical direction while communicating tradeoffs to technical and non-technical stakeholders.
What You Need
Required
- 8+ years of data engineering experience with hands-on ownership of production data pipelines.
- Strong SQL skills, including query optimization.
- Proficiency in Python and PySpark for large-scale data processing.
- Experience with Apache Airflow or a similar workflow orchestration tool.
- Experience with Snowflake or another cloud data warehouse.
- Experience with relational databases such as PostgreSQL.
- Hands-on AWS experience, including S3, EMR, and Spark-based distributed processing.
- Knowledge of data modeling, warehouse architecture, and secure data sharing.
- Experience with CI/CD, infrastructure automation, DevOps practices, and pipeline reliability.
- Strong communication skills and the ability to explain technical decisions clearly.
Preferred
- Experience with Kafka, streaming data, or change data capture (CDC).
- Experience with data observability and monitoring tools such as Dynatrace, Prometheus, Grafana, or ELK.
- Experience supporting ML or analytics pipelines, including feature engineering.
- Familiarity with Docker, Kubernetes, or OpenShift.
- Experience with Bamboo, Bitbucket, or Confluence.
- SnowPro or AWS certifications.
- Experience building or supporting SaaS products.
About the Assignment
Join a newly established product organization at a leading facility in Reading, Pennsylvania, focused on building a fleet management and telematics platform. You’ll help create the data foundation for asset tracking, fleet operations, routing optimization, driver behavior analytics, and future data-driven capabilities while partnering with engineering, data science, and product teams.
NextPath is an Equal Opportunity Employer (“EEO”)/Protected Veterans/Individuals with Disabilities/E-Verify Employer and welcomes all to apply to NextPath. #LI-DV1 #LI-Onsite
Unfortunately, at this time our client is unable to sponsor or transfer visas. Only candidates authorized to work in the US without sponsorship should apply.