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Data Analyst Qa Engineer Research

Scarsdale,NY

645 Data Analyst Qa Engineer Research jobs in Scarsdale,NY

New, Posted 2 hours ago
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Sr. Data Engineer

Subway Restaurants

Bethel, CT 06801

$119,200-$149,000/yr
~ 1 hr 2 min 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.
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Quality Assurance Specialist

the fedcap group

New York, NY 10017

$66,300-$75,000/yr
~ 35 min OnsiteBilingual Preferred

  • A bachelor's degree in a related discipline required.
  • 3-5 years' experience in Quality Assurance, monitoring, and/or Compliance experience in a similar role.
  • Experience with Continuous Quality Improvement frameworks and instruments.
  • Experience in accurate electronic data analysis and QA.
  • Prior experience responding to external audit reports and preparing corrective action plans.
  • Experience in developing and implementing processes for continual quality improvement.
SmartExplore AI is experimental.
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New, Posted 2 hours ago
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Sr. Data Engineer

Subway Restaurants

Danbury, CT 06810

$119,200-$149,000/yr
~ 51 min 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.
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New, Posted 1 day ago
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Workforce Business Planning Analyst

Spectrum

Stamford, CT 06902

Hybrid

  • Bachelor's degree in business or related field or equivalent experience
  • 2+ years of business planning, financial analysis or related experience
  • Prioritize and organize effectively
  • Work both independently and collaboratively within a team
  • Handle multiple projects and priorities efficiently
  • Strong analytical and data interpretation capabilities
  • Quickly identify business challenges and opportunities
  • Clear and effective verbal and written communication skills with all levels of management
  • Proficiency with software applications such as Word and Excel
  • This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Lead Software Engineer - Data Streaming/Integration Platforms

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr
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Quality Manager - Manufacturing

Versa Products Company

Paramus, NJ 07652

~ 42 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree in Engineering, Business Administration, or related field preferred
  • Minimum of 5 years of experience in quality management within a manufacturing environment
  • Minimum of 5 years of leadership experience managing teams
  • Strong knowledge of:
  • Quality Management Systems (QMS)
  • ISO 9001 standards
  • ERP systems
  • Mechanical component inspection
  • Continuous improvement methodologies (Lean, Six Sigma)
  • Lean Six Sigma Green Belt or Black Belt strongly preferred
  • Hands-on experience with precision inspection tools (calipers, CMM, Keyence, etc.)
  • Ability to define problems, collect data, and draw valid conclusions.
  • Ability to interpret technical instructions, drawings, and specifications.
  • Strong attention to detail with a bias for action and results.
  • Ability to work effectively in a dynamic manufacturing environment.
  • Adaptability in situations involving change, ambiguity, and competing priorities.
SmartExplore AI is experimental.
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Quality Inspector

Ametek

Montvale, NJ 07645

~ 39 min Onsite

  • High school graduate
  • 3-5 Years mechanical inspection, manufacturing experience
  • Experience in basic and advanced inspection techniques using various inspection tools and methodologies
  • Ability to read and interpret engineering drawings using geometric dimensioning and tolerances including and understanding of maximum material conditions
  • Strong understanding of GD&T;
  • Inspect detail parts per drawing requirement and specs using industry-standard measuring equipment
  • Prepare and maintain inspection reports
  • Program and/or operate Coordinate Measuring Machines
  • Perform small hand tool calibration
  • Collect and tabulate data for SPC use
SmartExplore AI is experimental.
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Principal Engineer - Python API Development

Fidelity Investments

Lyndhurst, NJ 07071

~ 43 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
SmartExplore AI is experimental.
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Compensation & Retirement Analyst

MJHS

New York, NY 10040

~ 35 min Onsite

  • Bachelor's degree in Human Resources, Business Administration, Finance, or a related field.
  • Minimum of 3–5 years of experience in compensation required.
  • Working knowledge of compensation principles, retirement plans, and related regulatory requirements.
  • Experience supporting merit, bonus, and pay administration cycles.
  • Proficiency with HRIS systems, payroll platforms, and Microsoft Office applications.
SmartExplore AI is experimental.
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iHire
Senior Mechanical Engineer

Pts Data Center Solutions

Oakland, NJ 07436

$145,000-$190,000/yr

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