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.