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Cloud Data Engineer

New York

1399 Cloud Data Engineer jobs in New York

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Sr. Data Engineer

Subway Restaurants

Southbury, CT 06488

$119,200-$149,000/yr
OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer or Information Science or related field, or equivalent combination of education and experience
  • 5–8 years creating quality data pipelines and system integrations
  • At least 3 years of experience in a cloud environment
  • Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or Snowflake (Iceberg Tables, Horizon Catalog)
  • Proven ability to design Bronze/Silver/Gold layers for curated, analytics-ready data
  • Experience implementing Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming
  • Experience building and managing semantic models using Databricks AI/BI Genie or Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst
  • Building pipelines with Airflow, Databricks Lakeflow, or Snowflake Openflow; familiarity with dbt is a plus
  • Strong PySpark or advanced SQL skills; Python for data engineering or automation
  • Dimensional modeling, Data Vault, or schema design for analytical workloads
  • Cluster/warehouse sizing, partitioning, clustering keys, Z-ordering, or query optimization
  • Working knowledge of Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, or data quality
  • Git, Databricks Asset Bundles or Snowflake CLI/Schemachange, automated testing, or deployment pipelines
  • AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms
  • Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use cases
  • Strong communication skills to partner with Product Owners, Analysts, or cross-functional engineering teams
  • Authorized to work in the country the position is based
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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

  • Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
  • Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
  • Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
  • Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
  • Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
  • Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
  • Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
  • Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
  • Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
  • Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
  • Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
  • Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
  • Engineering leadership and team-building experience, including managing senior technical staff — 7 years
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Manager, SAP S4 Public Cloud Asset Management (A2R) Lead

KPMG

New York, NY 10025

Onsite

  • Minimum six years of recent experience in external management consulting, including at least two full lifecycle SAP S/4HANA Public Cloud implementation with responsibility for Asset to Retire (A2R) and Asset Accounting processes
  • Experience supporting at least two S4 Public Cloud implementations involving fixed asset accounting, capital projects, CIP, asset capitalization, depreciation, and retirements, with the ability to contribute to fit to standard workshops and business centric solution design
  • Strong understanding of SAP S/4HANA Public Cloud Asset Accounting configuration, including asset classes, depreciation areas, capitalization rules, investment measures, and integration with Financial Accounting and Controlling
  • Proven delivery execution skills across SAP Activate phases, including design, build, testing, cutover, and hypercare, with experience supporting asset reconciliation, period end close, and audit readiness
  • Travel may be up to fifty to eight percent
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
SmartExplore AI is experimental.
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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

New, Posted 1 day ago
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Director, Software Engineering

SAAB

East Syracuse, NY 13057

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Software Engineering or related discipline.
  • 18+ years of experience in a technical/engineering environment
  • At least 5+ years in a leadership role focused on engineering management and leading other people managers.
  • Proven success building, scaling, and leading a high-performing engineering function with preference for Aerospace and Defense experience.
  • Strong understanding of the product development lifecycle, software engineering principles, anti-tamper cybersecurity and functional execution in regulated industries.
  • Demonstrated experience contributing to and aligning engineering strategy and execution with broader business and programmatic goals.
  • Experience shaping organizational direction through technical leadership, innovation, and continuous improvement initiatives.
  • Ability to lead through ambiguity, anticipating change, mitigating risk, and making sound high impact decisions.
  • Demonstrated success in developing technical talent and managing team performance.
  • Deep expertise in software development, especially object-oriented design, UML, and embedded systems.
  • Proficient in C/C++, Java, and tools like VS Code, DOORS, Git, SVN, and PTC Integrity Modeler.
  • Experience with multiple development methodologies like Agile, Waterfall, and Spiral.
  • Willingness to travel up to 10% in support of program and business efforts.
  • Ability to obtain a Secret level clearance.
  • Must be a U.S. citizen.
  • Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
  • As a condition of employment, candidates will be required to pass a pre-employment drug screen.
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Technical Manager - Software Engineering

L3Harris Technologies

Rochester, NY 14603

OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree and minimum 9 years prior related experience, including substantial embedded software background
  • Graduate Degree with a minimum of 7 years prior related experience
  • In lieu of a degree, minimum of 13 years prior related experience
  • 3 years of experience with management and leadership background with experience leading full software lifecycle development, including: executing performance appraisals, managing staffing allocation, software process leadership (CMMI), and career development
  • 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, and TDD
  • 5 years of experience with DevOps and a proven track record leading teams to leverage CI/CD pipeline
  • 8 years of experience leading Software Development through various phases (Design, Coding, Integration, Deployment, Sustainment)
  • Ability to acquire Secret Clearance
  • These positions requires you to obtain a DOD Secret Clearance, which requires US Citizenship
SmartExplore AI is experimental.
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Sr. Data Engineer

Subway Restaurants

Danbury, CT 06810

$119,200-$149,000/yr
OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer or Information Science or related field, or equivalent combination of education and experience
  • 5–8 years creating quality data pipelines and system integrations
  • At least 3 years of experience in a cloud environment
  • Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or Snowflake (Iceberg Tables, Horizon Catalog)
  • Proven ability to design Bronze/Silver/Gold layers for curated, analytics-ready data
  • Experience implementing Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming
  • Experience building and managing semantic models using Databricks AI/BI Genie or Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst
  • Building pipelines with Airflow, Databricks Lakeflow, or Snowflake Openflow; familiarity with dbt is a plus
  • Strong PySpark or advanced SQL skills; Python for data engineering or automation
  • Dimensional modeling, Data Vault, or schema design for analytical workloads
  • Cluster/warehouse sizing, partitioning, clustering keys, Z-ordering, or query optimization
  • Working knowledge of Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, or data quality
  • Git, Databricks Asset Bundles or Snowflake CLI/Schemachange, automated testing, or deployment pipelines
  • AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms
  • Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use cases
  • Strong communication skills to partner with Product Owners, Analysts, or cross-functional engineering teams
  • Authorized to work in the country the position is based
SmartExplore AI is experimental.
View now
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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

New, Posted 1 day ago
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Lead Data Platform Engineer

The Walt Disney Company (Corporate) Careers

New York, NY 10025

$155,700-$208,700/yr
New, Posted 11 hours ago
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Systems Engineer - Hardware Systems

Lockheed Martin

Berkshire, NY 13736

OnsiteUrgently Hiring

  • Bachelors degree in Electrical, Mechanical, Computer, or Systems Engineering or a related discipline, with 2 years or more of professional experience; or a Masters degree.
  • Experience with hardware design efforts including requirements derivation through product integration support.
  • Experience collaborating across engineering disciplines and program personnel and participation in cross functional product development.
  • Ability to obtain and maintain security clearance to at least the Secret level.
  • U.S Citizenship Required.
SmartExplore AI is experimental.
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