Data Engineer | Technogen | Oaks, PA (Hybrid)

Technogen; Oaks (PA); Hybrid; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Technogen invites an experienced Data Engineer to join our client engineering team in Oaks, PA on a hybrid schedule (3 days onsite). You will architect and scale enterprise data pipelines, data warehouses, and automated ETL workflows, ensuring data reliability and performance across multi-cloud environments.

You will lead data architecture efforts, optimize pipelines, and collaborate with software engineering, data science, product, and exec stakeholders in Agile cycles.

Qualifikationen

• Bachelor's or Master's degree in a technical discipline.
• Minimum of 14+ years of experience in software engineering, data architecture, and big data analytics.
• Strong hands-on SQL, data modeling, and distributed data processing skills.
• Experience with modern data stack frameworks and cloud storage systems.
• End-to-end ETL/ELT pipelines and data warehousing experience.
• Performance tuning, database optimization, and governance expertise.
• Excellent written and verbal English, with stakeholder collaboration.

Aufgaben

• Architect, design, develop, optimize, and maintain enterprise data pipelines and ETL/ELT workflows.
• Build and optimize distributed data warehouses and data lakehouse architectures.
• Create complex SQL queries, stored procedures, and data processing scripts.
• Develop data automation, orchestration, and integration scripts.
• Secure and optimize cloud storage and compute resources across multi-cloud/hybrid environments.
• Monitor data ingestion, query performance, and pipeline logs.
• Collaborate with cross-functional teams and stakeholders in Agile sprints.
• Document data models, topologies, and runbooks.

Kenntnisse

SQL programming

Data modeling

Distributed data processing

ETL/ELT pipelines

Data warehousing

Performance tuning

Data governance

English communication

Ausbildung

Bachelor's or Master's degree in Computer Science / Data Science / Software Engineering / IT

Tools

Apache Airflow

dbt

Prefect

Snowflake

Databricks

BigQuery

Redshift

Docker

Kubernetes

Kafka

Kinesis

Jobbeschreibung

Position Summary

Technogen is actively seeking an experienced, high-caliber, and technical Data Engineer with 14+ years of progressive professional experience in enterprise data architecture, big data engineering, and advanced analytics to join our client engineering team on a hybrid basis (3 days onsite per week) in Oaks, PA. In this critical senior data leadership and engineering role, you will be responsible for architecting, designing, developing, securing, and scaling enterprise-grade data pipelines, data warehouses, and automated ETL workflows. You will leverage your deep specialist expertise in modern data stack technologies, cloud platforms, and distributed data processing to deliver uncompromised data reliability, high performance, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT staffing and digital consulting enterprise.

Detailed Job Description

As a Data Engineer supporting Technogen in Oaks, PA (Hybrid), you will take full operational, tactical, and technical ownership of enterprise data architecture, big data pipeline development, cloud data warehousing, and ETL/ELT workflow execution across mission-critical analytics platforms. Your day-to-day responsibilities include designing, developing, testing, and maintaining scalable enterprise data pipelines, ingestion frameworks, and data integration workflows, architecting, optimizing, and managing large-scale data warehouses, data lakes, and distributed storage systems, provisioning, administering, and securing cloud data infrastructure across multi-cloud or hybrid environments, collaborating closely with cross-functional software engineering, data science, product, and executive stakeholder squads in Agile sprint cycles, conducting rigorous data quality audits, performance tuning, query optimization, and architectural reviews across massive datasets, preparing comprehensive technical documentation of data models, pipeline topologies, and operational runbooks. You will utilize your proactive troubleshooting and analytical problem‑solving skills to resolve complex data pipeline failures and latency bottlenecks under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with the 14+ years experience requirement and Oaks, PA hybrid onsite schedule.

Key Responsibilities

• Architect, design, develop, optimize, and maintain enterprise-scale data pipelines and automated ETL/ELT integration workflows.
• Build, maintain, and optimize distributed big data analytics clusters, data warehouses, and modern data lakehouse architectures.
• Author complex, highly optimized SQL queries, stored procedures, and distributed data processing scripts.
• Develop robust data automation, pipeline orchestration, and integration scripts utilizing modern programming languages.
• Administer, secure, and optimize cloud storage, compute instances, and serverless data infrastructure.
• Monitor data ingestion jobs, database query performance, and pipeline execution logs proactively.
• Collaborate seamlessly with cross-functional software engineering, data science, and business analytics squads.
• Maintain accurate, comprehensive technical documentation of data schemas, pipeline architectures, and operational runbooks.

Required Qualifications & Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Technology, or a related technical discipline.
• Minimum of 14+ years of progressive professional experience in software engineering, enterprise data architecture, and big data analytics.
• Strong, demonstrable hands‑on professional expertise in advanced SQL programming, data modeling, and distributed data processing.
• Comprehensive working knowledge and practical proficiency in modern data engineering frameworks and cloud storage systems.
• Deep practical experience architecting and implementing end-to-end ETL/ELT pipelines and data warehousing solutions.
• Solid practical experience in performance tuning, database optimization, and enterprise data governance frameworks.
• Exceptional analytical, troubleshooting, debugging, and problem‑solving capabilities under high‑pressure conditions.
• Excellent written and verbal English communication skills with strong cross-functional collaboration and stakeholder management abilities.
• Mandatory legal work eligibility and physical availability for hybrid professional operations (3 days onsite per week) in Oaks, PA.

Nice‑to‑Have Skills

• Professional certifications such as AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate, or Google Cloud Professional Data Engineer.
• Prior professional working experience in top-tier technology consulting firms, multinational financial institutions, or enterprise healthcare organizations.
• Hands‑on familiarity with modern data stack orchestration tools (Apache Airflow, dbt, Prefect) and containerization (Docker, Kubernetes).
• Experience integrating enterprise data warehouses (Snowflake, Databricks, BigQuery, Redshift) into centralized analytics platforms.
• Exposure to streaming data architectures (Kafka, Kinesis) and machine learning feature engineering pipelines.

Application Information

• Company Website: https://www.technogeninc.com
• Salary/Rate: Market Competitive / Enterprise Senior Data Package
• Deadline: Open until filled (Urgent Oaks Hybrid Data Engineering Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Hybrid Engagement (Oaks, PA)