Data Platform Manager – Reading, PA
Build a modern data platform from the ground up while contributing hands-on with pipelines, cloud data infrastructure, and data architecture. This onsite role in Reading,PA.
Quick Facts
- Location: Reading, Pennsylvania
- Employment Type: Contract to Hire
- Work Arrangement: Onsite
- Experience: 5+ years in data engineering, including production data pipelines
- License/Certifications: No specific license or certification required
Pay & Benefits
- Hourly: $60-$75 (based on experience).
What You’ll Do
- Lead the design, development, and operation of production data pipelines from ingestion through transformation and serving.
- Build and optimize data solutions using Snowflake, AWS S3, EMR/Spark, SQL, Python, and PySpark.
- Develop and maintain workflow orchestration using Apache Airflow or a comparable platform.
- Establish data quality checks, monitoring, alerting, and operational dashboards.
- Investigate production issues, lead root-cause analysis, and implement lasting corrective actions.
- Mentor data engineering team members while providing technical direction, feedback, and delivery support.
- Partner with Data Science, product, and software engineering teams to deliver reliable data for analytics, machine learning, and customer-facing applications.
What You Need
Required:
- 5+ years of hands-on experience designing, building, and managing production ETL/ELT data pipelines.
- Experience leading, mentoring, or managing data engineers.
- Strong SQL skills, including query analysis and optimization.
- Proficiency with Python and PySpark for large-scale data processing.
- Hands-on experience with Snowflake and AWS data infrastructure, including S3 and EMR/Spark.
- Experience with Apache Airflow or a similar workflow orchestration platform.
- Knowledge of data warehouse design, data modeling, distributed processing, and scalable data architecture.
- Experience with data quality, monitoring, incident response, and production support.
- Strong communication skills with technical and non-technical stakeholders.
Preferred:
- Experience with Kafka, streaming data, or change-data-capture technologies.
- Experience with PostgreSQL or other relational databases.
- Familiarity with data observability tools such as Dynatrace, Prometheus, Grafana, or ELK.
- Experience supporting machine learning or analytics pipelines, including feature engineering.
- Knowledge of CI/CD, DevOps, Docker, Kubernetes, or OpenShift.
- SnowPro or AWS data certifications.
About the Assignment
Join a leading facility in Reading, Pennsylvania, where a newly forming team is developing a fleet management and telematics platform. This role offers the opportunity to help establish data engineering practices, shape platform architecture, and deliver reliable data capabilities for fleet operations, analytics, and future data-driven products.
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.