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Sr System Analyst - Data Activation Engineer, Enterprise Data & Analytics

conEdison

New York, NYJobNo compensation foundPosted 2mo agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
New York, NY
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degreeDriver's License

Job overview

conEdison is hiring a Sr System Analyst - Data Activation Engineer, Enterprise Data & Analytics. The Sr System Analyst - Data Activation Engineer will design and build data integration pipelines across various patterns, including batch, streaming, API, and change data capture. This role requires a strong background in source to target mapping, schema design, and writing technical specifications. The engineer will partner with solution engineers, source system owners, and business SMEs to deliver reliable, production-grade data. Practical understanding of data sensitivity, classification, and handling requirements is preferred.

Key focus areas include Design and build data integration pipelines across batch, streaming, API, and CDC patterns, Create source‑to‑target mappings, schema designs, and technical specifications, and Select appropriate integration patterns for modern data platforms.

Successful candidates bring Master's Degree In CS/Engineering/Math/Business/Tech, Bachelor's Degree In CS/Engineering/Math/Business/Tech, and 2+ Years Full-Time Experience. Important skills include Azure Data Factory, SSIS, Google Cloud Data Integration Services, Dataflow, Dataform, and Data Transfer Service. Preferred (not required): Data Sensitivity, Data Classification, Data Handling Requirements, and Defining Data Contracts.

Skills & qualifications

RequiredNice to have

Skills

Azure Data FactorySSISGoogle Cloud Data Integration ServicesDataflowDataformData Transfer ServiceGcloud CLISource to Target MappingSchema DesignWriting Technical SpecificationsModern Data PlatformsIntegration ToolingPartnering Across Solution EngineersPartnering Across Source System OwnersPartnering Across Business SMEsStrong Written CommunicationStrong Verbal CommunicationAdaptabilityProblem SolvingEffective Interpersonal SkillsDrive Multiple Projects to Successful CompletionTime ManagementPriority SettingWell OrganizedDetail OrientedData SensitivityData ClassificationData Handling RequirementsDefining Data ContractsOperationalizing Data ContractsSchema VersioningOwnership BoundariesQuality Expectations Between TeamsMonitoring Data PipelinesObservability on Data Pipelines

Qualifications

Master's Degree in Computer Science, Engineering, Math, Business, or Technology-Centric Field2 Years Relevant Full Time Work ExperienceHands-on Experience Designing and Building Data Integration PipelinesDriver's LicenseAvailable to Work Off Hours as Operationally RequiredTechnical Certification(S) in ITGoogle Professional Data EngineerGoogle Associate Data PractitionerDatabricks Associate Data EngineerDatabricks Professional Data Engineer

Full job description

Required Education/Experience

  • Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 2 years relevant full time work experience or

  • Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 3 years relevant full-time work experience

Relevant Work Experience

  • Hands-on experience designing and building data integration pipelines across batch, streaming, API, and change data capture patterns, with one or more of: Azure Data Factory, SSIS, Google Cloud data integration services (Dataflow, Dataform, Data Transfer Service, gcloud CLI), or comparable tooling, required

  • Strong background in source to target mapping, schema design, and writing technical specifications that engineers and analysts can both work from, required

  • Working knowledge of modern data platforms and integration tooling, with the judgment to match the right pattern to the right use case, required

  • Track record of partnering across solution engineers, source system owners, and business SMEs to turn fuzzy requirements into reliable, production-grade data delivery, required

  • Practical understanding of data sensitivity, classification, and handling requirements, including how to apply controls for protected or regulated data, preferred

  • Experience defining and operationalizing data contracts, including schema versioning, ownership boundaries, and quality expectations between teams, preferred

  • Proven ability to implement monitoring and observability on data pipelines, covering freshness, completeness, schema drift, and failure alerting, preferred

Skills and Abilities

  • Strong written and verbal communication skills

  • Possesses flexibility to work in a fast paced, dynamic environment

  • Ability to work within tight timeframes and meet strict deadlines

  • Demonstrated problem solving skills

  • Effective interpersonal skills

  • Ability to drive multiple projects to successful completion

  • Demonstrated time management and priority setting skills

  • Ability to drive multiple projects to successful completion

  • Well organized, detail oriented and flexible to handle multiple assignments

Licenses and Certifications

  • Driver's License Required

  • Other: Technical certification(s) in IT Preferred

  • Other: Google Professional Data Engineer Preferred

  • Other: Google Associate Data Practitioner Preferred

  • Other: Databricks Associate Data Engineer Preferred

  • Other: Databricks Professional Data Engineer 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 [email protected]

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