1082 Data Developer Etl Integration jobs in New York,NY

New, Posted 17 hours ago

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Sr. Data Engineer

Subway Restaurants

Wilton, CT 06897

$119,200-$149,000/yr

~ 1 hr 8 min OnsiteEducation 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.

New, Posted 8 hours ago

ResumeLibrary

Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

New, Posted 17 hours ago

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Sr. Data Engineer

Subway Restaurants

Bridgeport, CT 06606

$119,200-$149,000/yr

~ 1 hr 13 min OnsiteEducation 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.

New, Posted 1 day ago

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Human Resources Technology Data Engineer

LHH US

New York, NY 10022

$85-$100/hr

HybridHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.

SmartExplore AI is experimental.

New, Posted 1 day ago

Recommended

Senior Consultant, Healthcare Strategy & Transformation

Guidehouse Careers

New York, NY 10025

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Principal Engineer - Python API Development

Fidelity Investments

Harrison, NJ 07029

~ 23 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.

New, Posted 1 hour ago

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Data Management Job Training Opportunity

Year Up United

Newark, NJ 07102

$525/wk

~ 28 min Onsite

A high school graduate or GED recipient
Eligible to work in the U.S.
Available Monday-Friday throughout the duration of the program
Have not obtained a Bachelor’s degree
You may be required to answer additional screening questions when applying

SmartExplore AI is experimental.

New, Posted 9 hours ago

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Enterprise Sales Representative

Spectrum

New York, NY 10010

OnsiteUrgently Hiring

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
High school diploma or equivalent from an accredited organization (GED)
Experience selling to corporate executives and outside sales to enterprise, healthcare, government or education clients
Read, write, speak and understand English
Quick to conduct cost analyses and provide product recommendations
Proficiency in Microsoft Excel, Word, PowerPoint and Visio
Experience with ICOMS/CSG or other billing systems
Knowledge of complex services, telecommunications infrastructure and equipment (Routers, Switches, Frame Relay, ATM, SONET, Ethernet)
Understanding of TCP/IP networking, network security, firewalls and telephony products (T1, PRI, SIP)
Familiarity with business software, hardware applications, Intranets and Salesforce
Experience negotiating Master Service Agreements and selling financial/business benefits, closing sales and presenting technical solutions
Valid and active State driver's license with a safe driving record

SmartExplore AI is experimental.

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DiversityJobs

Quality Control Engineer III (Hybrid - New York, NY)

Energy Solutions

New York, NY 10279

Recommended

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Human Resources Technology Data Engineer

LHH US

Long Island City, NY 11101

$85-$100/hr

Hybrid~ 10 minHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.

SmartExplore AI is experimental.