1059 Senior Associate Data Engineer jobs in New York

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Senior Environmental Engineer / Geologist

The LiRo Group

Rochester, NY 14608

Urgently Hiring

New, Posted 1 day ago

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Professional, Data Engineer

MVP Healthcare

Schenectady, NY 12303

Onsite

Technical degree (Bachelor of Science, Computer Science, or equivalent level of experience) required; advanced degree (MS) a plus.
Minimum 3 years' experience with direct data analysis and data management, preferable in a health care environment.
3+ years' relevant experience in data warehousing techniques and technology, or experience in data vaults (raw and business), medallion architecture, and /or comparable analytics solutions.
1-3 years' experience using Azure Databricks
Additional experience using data engineering/reporting tools like (SSRS, SSAS, SSMS, SSIS, Tableau, Power BI, Informatica) preferred
1-3 years' experience with at least one programming language (preferably MS SQL, Python)
Experience in data mining, ETL, etc. and using databases in business environment with medium scale, complex datasets.
Advanced knowledge with OLAP.
Experience in developing dashboards and scorecards.
Required Skills
Superior analytical and problem-solving skills, with excellent attention to detail.
Advanced ability to understand business drivers.
Capacity to develop procedures that support task management, data structure, dependence and metadata.
Advanced ability to recognize innovative solutions.
Experienced in a variety of analysis techniques to define problem/ opportunity and to discover unstated requirements.
Advanced ability to challenge status quo by looking for a better way to solve a problem with the ability to influence others in this regard.
Dimensional, star schema modeling skills.
Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with business unit representation and analysts.
Exceptional customer focus with advanced ability to build relationships with business and technical partners to improve customer service and continuously improve project delivery.
Highly self- motivated and directed, can direct others. Experience working in team-oriented, collaborative environment.
Advanced organization, planning and time management skills.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Professional, Data Engineer

MVP Healthcare

Rochester, NY 14609

Onsite

Technical degree (Bachelor of Science, Computer Science, or equivalent level of experience) required; advanced degree (MS) a plus.
Minimum 3 years' experience with direct data analysis and data management, preferable in a health care environment.
3+ years' relevant experience in data warehousing techniques and technology, or experience in data vaults (raw and business), medallion architecture, and /or comparable analytics solutions.
1-3 years' experience using Azure Databricks
Additional experience using data engineering/reporting tools like (SSRS, SSAS, SSMS, SSIS, Tableau, Power BI, Informatica) preferred
1-3 years' experience with at least one programming language (preferably MS SQL, Python)
Experience in data mining, ETL, etc. and using databases in business environment with medium scale, complex datasets.
Advanced knowledge with OLAP.
Experience in developing dashboards and scorecards.
Required Skills
Superior analytical and problem-solving skills, with excellent attention to detail.
Advanced ability to understand business drivers.
Capacity to develop procedures that support task management, data structure, dependence and metadata.
Advanced ability to recognize innovative solutions.
Experienced in a variety of analysis techniques to define problem/ opportunity and to discover unstated requirements.
Advanced ability to challenge status quo by looking for a better way to solve a problem with the ability to influence others in this regard.
Dimensional, star schema modeling skills.
Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with business unit representation and analysts.
Exceptional customer focus with advanced ability to build relationships with business and technical partners to improve customer service and continuously improve project delivery.
Highly self- motivated and directed, can direct others. Experience working in team-oriented, collaborative environment.
Advanced organization, planning and time management skills.

SmartExplore AI is experimental.

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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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Senior Electrical Engineer

The LiRo Group

Syosset, NY 11791

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Sr. Specialist, Electrical Engineer (Digital Design)

L3Harris Technologies

Rochester, NY 14603

OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree and minimum 6 years of prior relevant experience
Graduate Degree and a minimum of 4 years of prior related experience
In lieu of a degree, minimum of 10 years of prior related experience in Digital Electrical Engineering
Ability to obtain a US Security Clearance

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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iHire

Senior Mechanical Engineer

James A. Staley

Carmel, NY 10512

$90,000-$150,000/yr

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Senior Manager Technology and Data Strategy

Health and Welfare Council of Long Island

Huntington Station, NY 11746

$110,000/yr

HybridPaid Time OffRetirement Benefit

Bachelor's degree in a related field (e.g., computer science, Healthcare informatics, information technology)
Minimum 8-10 years of professional experience in technical roles, such as solutions architecture or software engineering, preferably in the healthcare or social service sectors
Experience with Clinical Information Systems, Interoperability Standards, Healthcare Administration, Healthcare Data Analysis, Payor Claims, SDLC and change management principles
Experience with health IT data standards, tools, and processes such as HL7, FHIR, ICD-10, and IHE, Epic, Data Warehousing, and API
Experience with population health management data systems design and/or architectures strongly preferred
Familiarity with state and federal information privacy regulations (e.g., HIPAA, and its impact on data systems and data management)
Strong commitment to social justice and HWCLI's mission

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