Archived listing. The details below describe a past opening.
Required Education/Experience
- Master's Degree and a minimum of 6 years relevant full-time work experience or
- Bachelor's Degree and a minimum of 8 years relevant full-time work experience
Preferred Education/Experience
- Master's Degree in Computer Science, Engineering, Math, Business, or a technology-centric field and a minimum of 6 years of relevant full-time work experience in GCP data engineering building scalable data pipelines, managing skilled teams, and delivering governed, cost-efficient data products for analytics and AI/ML
Relevant Work Experience
- Demonstrated experience in hands-on data engineering, pipeline architecture, or data platform operations, including time spent leading and managing technical teams, required
- Extensive hands-on experience designing, developing, and operating large-scale data pipelines on Google Cloud Platform, using services like BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, and Cloud Storage, required
- Proficient in SQL, Python, or Spark for large-scale data processing and data modeling, required
- Solid experience with ETL/ELT pipeline design, workflow orchestration (e.g., Composer/Airflow), CI/CD pipelines (Azure DevOps preferred), and Infrastructure-as-Code (Terraform), required
- Experience defining and managing operational metrics, SLAs, and KPIs for enterprise-level data integration platforms, required
- Familiarity with implementing data governance frameworks, metadata management, and data quality testing tools (e.g., Great Expectations, Dataplex), preferred
- Background in utilities, energy, or other regulated industries with exposure to NERC CIP compliance, security protocols, and data classification, preferred
- Experience supporting migration initiatives moving data workloads off legacy ecosystems (such as Azure, Databricks, and C3.ai) onto GCP, preferred
Skills and Abilities
- Effective leadership skills
- Strong written and verbal communication skills
- Possesses flexibility to work in a fast paced, dynamic environment
- Demonstrated problem solving skills
- Demonstrated time management and priority setting skills
- Well organized, detail oriented and flexible to handle multiple assignments
Licenses and Certifications
- Driver's License Required
- Other: Google Professional Data Engineer Preferred
- Accredited Asset Management Specialist (AAMS) Google Professional Cloud Architect Preferred
- Accredited Asset Management Specialist (AAMS) Technical certification(s) in IT Preferred
Physical Demands
- Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
Additional Physical Demands
- The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
- Available to work off hours as operationally required
EEO Statement:
Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) are equal opportunity employers. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of the individual’s actual or perceived disability, protected veteran status, race, color, creed, religion, sex, age, national origin, gender, gender identity, gender expression, genetic information, marital status, sexual orientation, citizenship, domestic violence victim status, or any other actual or perceived status protected by law.
Technical Difficulty Statement:
For technical issues, please contact us at careerconnect@coned.com