Data Platform Manager (6059)

NextPath Workforce Solutions; Reading (Berks County); Presencial; USD 83.000 - 103.000; Jornada completa

Descripción de la vacante

NextPath Workforce Solutions is seeking a Data Platform Manager for an onsite role in Reading, PA. You will build a modern data platform from the ground up, hands-on with pipelines, cloud data infrastructure, and data architecture.

Lead production ETL/ELT pipelines, mentor engineers, and collaborate with data science and software teams to deliver reliable data for analytics and ML. This contract-to-hire position offers competitive hourly pay and growth opportunities.

Formación

• 5+ years designing, building, and managing production ETL/ELT pipelines.
• Experience leading or mentoring data engineers.
• Strong SQL skills and query optimization.
• Proficient in Python and PySpark for large-scale processing.
• Hands-on Snowflake and AWS data infrastructure (S3, EMR/Spark).
• Experience with Airflow or similar workflow orchestration.
• Knowledge of data warehouse design, distributed processing, and scalable architecture.
• Experience with data quality, monitoring, incident response, and production support.
• Strong communication with technical and non-technical stakeholders.

Responsabilidades

• Lead design, development, and operation of production data pipelines.
• Build and optimize data solutions using Snowflake, AWS, and Spark.
• Develop workflow orchestration with Airflow.
• Establish data quality checks, monitoring, and dashboards.
• Investigate issues, perform root-cause analysis, implement fixes.
• Mentor data engineering team and provide technical guidance.
• Collaborate with Data Science, product, and software teams to enable analytics and ML.

Conocimientos

ETL/ELT pipelines

Leadership/mentoring

SQL

Python/PySpark

Snowflake/AWS data infra

Airflow

Data warehouse design

Data quality/monitoring

Stakeholder communication

Herramientas

Snowflake

AWS S3

EMR/Spark

Apache Airflow

PySpark

Descripción del empleo

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.

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.