Sr. Data Engineer (6060)

NextPath Workforce Solutions; Reading (Berks County); On-site; USD 69,000 - 90,000; Full time

Job summary

NextPath Workforce Solutions in Reading, PA, seeks a Senior Data Engineer to build and own the data platform for fleet telematics, delivering scalable pipelines and cloud data solutions. Onsite contract-to-hire role with a strong emphasis on greenfield architecture and hands-on delivery.

You will design, optimize, and operate data pipelines, work with Snowflake and AWS, and collaborate with data science and product teams to enable analytics at scale.

Qualifications

• 8+ years of data engineering with ownership of production data pipelines.
• Strong SQL skills and query optimization.
• Proficiency in Python and PySpark for large-scale processing.
• Experience with Airflow and cloud data warehouses.
• Snowflake or equivalent cloud warehouse; PostgreSQL experience.
• Hands-on AWS including S3, EMR and Spark processing.
• Knowledge of data modeling, warehouse architecture and secure data sharing.
• Experience with CI/CD, automation, DevOps and pipeline reliability.
• Clear, effective communication of technical decisions.

Responsibilities

• Design, build and maintain production-grade data pipelines end-to-end.
• Develop and optimize SQL and PySpark solutions for large-scale processing.
• Tune cloud data warehouse performance, costs, and scheduling as data grows.
• Build data quality checks, monitoring, observability and alerting.
• Partner with data science and product teams on feature engineering and analytics pipelines.
• Support incident response, root-cause analysis and documentation.
• Contribute to architecture, tooling and technical direction and communicate tradeoffs.

Skills

SQL

Python

PySpark

Airflow

Snowflake

PostgreSQL

AWS

Data modeling

CI/CD

DevOps

Communication

Job description

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.