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Exempt Data Engineer Jobs in New York (NOW HIRING)

BLDG SVC 32 B-J

Data Engineer

Manhattan, NY · On-site

$100K - $115K/yr

Job Code 1003 Department Name Health Fund Admin Reports To Manager, Data Engineering FLSA Status Exempt Union Code N/A Management No About Us: Building Services 32BJ Benefit Funds ("the Funds") is ...

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Child Mind Institute

Data Engineer

Manhattan, NY · On-site

$119K - $150K/yr

... for Data Analytics, Innovation, and Rigor team, you will report to Rubric Engineering and ... This is an exempt, full-time, hybrid position located in our NYC headquarters office or other ...

Child Mind Institute

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... for Data Analytics, Innovation, and Rigor team, you will report to Rubric Engineering and ... This is an exempt, full-time, hybrid position located in our NYC headquarters office or other ...

Capital One

Lead Data Engineer

New York, NY

$112K - $147K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Charlie Health

Staff Data Engineer

New York, NY · On-site

$175K - $255K/yr

About the Role The Analytics & Data Engineering team owns all post-transactional data operations ... all full-time, exempt employees. Read more about our benefits here. The total target base ...

Capital One

Senior Lead Data Engineer

New York, NY · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Trexquant Investment

Senior Data Engineer

New York, NY · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data ... This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data ... This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data ... This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Charlie Health

Staff Data Engineer

New York, NY

$175K - $255K/yr

About the Role The Analytics & Data Engineering team owns all post-transactional data operations ... all full-time, exempt employees. Read more about our benefits here. The total target base ...

Capital One

Senior Lead Data Engineer

New York, NY · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

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All JobsExempt Data Engineer JobsExempt Data Engineer Jobs in New York

Exempt Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do exempt data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for exempt data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

Can I get a data engineer job with no experience?

Entry-level data engineer positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships.

What are Exempt Data Engineers?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an Exempt Data Engineer, and why are they important?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What engineers make $500,000?

Exempt data engineers in senior or specialized roles with extensive experience, advanced skills in big data tools, cloud platforms, and programming can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical expertise, leadership, and industry reputation.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

What are some common challenges faced by Exempt Data Engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What jobs are H1B cap exempt?

H1B cap-exempt jobs include positions at institutions of higher education, nonprofit research organizations, and government research agencies. Data engineers working in these settings may qualify for cap exemption if the employer qualifies under these categories, often requiring specialized skills and relevant certifications. Cap-exempt status allows for easier visa processing and renewal for eligible roles in these organizations.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on big data, cloud computing, and data infrastructure across industries. Skills in programming languages like Python and SQL, along with experience with tools such as Hadoop and Spark, enhance job prospects in this field.
What are the most commonly searched types of Data Engineer jobs in New York? The most popular types of Data Engineer jobs in New York are:
Exempt Data Engineer jobs near you

Data Engineer

BLDG SVC 32 B-J

Manhattan, NY • On-site

$100K - $115K/yr

Full-time

Medical, Retirement

Posted 8 days ago

Job description

Job Code
1003

Department Name
Health Fund Admin

Reports To
Manager, Data Engineering

FLSA Status
Exempt

Union Code
N/A

Management
No


About Us:

Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues.


The Funds oversees and manages $9 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people.

For 2025 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more.


Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A


Job Summary:

As a Data Engineer you will get to play a key and a collaborative role in the delivery of powerful data-driven products that support 32BJ Health Fund's mission of providing high-quality and low-cost healthcare to its union members. The Data Engineer will be responsible for providing internal analysts with accurate datasets by implementing best practices in data collection, movement, storage, and transformation of large datasets. This individual will work with both current ETL/Data Warehousing and provide direction for future development of data storage, streaming and pipeline architectures.


Essential Duties and Responsibilities:

  • Works with Health Fund Analytics, Operations, and IT to design, develop, maintain, and optimize complex data pipelines supporting both on-premises and Azure cloud environments
  • Migrates and integrates data from disparate internal and external sources into centralized Azure cloud and on-premises data warehouse solutions using established data engineering best practices
  • Uses SQL, Azure Data Factory, Databricks, Python, and other data transformation tools to develop and automate scalable ETL/ELT processes for ingesting, transforming, and loading data from multiple vendors into centralized data platforms
  • Designs and implements resilient ingestion pipelines capable of handling schema drift, missing or invalid fields, inconsistent vendor formats, and evolving source system structures
  • Builds scalable, flexible, and extensible data models that support evolving business requirements, onboarding of new vendors, and downstream analytics/reporting needs
  • Implements and maintains medallion architecture principles with clear separation of raw, refined, and curated data layers
  • Diagnoses and resolves performance bottlenecks impacting pipeline efficiency, reporting processes, and downstream data consumers across SQL Server and Databricks environments
  • Supports and optimizes data workflows across hybrid on-premises and cloud-based platforms during ongoing cloud migration initiatives
  • Translates operational and business requirements into scalable, maintainable, and efficient data engineering solutions
  • Anticipates and mitigates risks related to vendor data variability, schema evolution, and data quality issues to ensure data reliability and continuity
  • Prioritizes and manages technical debt to improve platform stability, maintainability, scalability, and delivery efficiency
  • Generates data subsets, semantic models, APIs, variables, and reusable datasets required for integration with internal applications, analytics tools, and public-facing platforms
  • Works collaboratively with IT and Operations teams to evaluate, implement, and support scalable cloud-based solutions, including Azure and Dynamics 365 technologies
  • Supports implementation and ongoing maintenance of enterprise Data Governance policies, standards, and data management best practices within assigned domains
  • Supports data engineering operations through proactive monitoring, alerting, troubleshooting, debugging, and maintenance activities to minimize downtime and ensure data quality
  • Interfaces with internal stakeholders and external vendor IT teams to resolve data quality issues and ensure HIPAA-compliant data handling, transfer, and storage practices
  • Creates and maintains clear technical documentation, including data dictionaries, schemas, user guides, quick-start materials, and workflow/process documentation
  • Provides training sessions, tutorials, and ongoing support to analysts and business users on data access, query development, reporting tools, and available data resources
  • Serves as a subject matter expert on internal and external data sources, data architecture, and enterprise data management practices


Qualifications (Competencies):

  • 1–3 years of professional experience in data engineering, data integration, data warehousing, analytics engineering, or related technical disciplines
  • Demonstrated ability to support scalable data pipelines, data transformation processes, and cloud-based data initiatives within collaborative technical environments
  • Strong understanding of software engineering best practices applied to data engineering, including modular design, automated testing, CI/CD, version control, and idempotent processing
  • Advanced SQL development skills, including stored procedures, functions, triggers, query optimization, indexing strategies, and performance troubleshooting across large-scale datasets
  • Strong understanding of modern data engineering concepts and architecture, including ETL/ELT frameworks, pipeline orchestration, data modeling, schema evolution, batch ingestion patterns, and medallion architecture principles within Databricks/Delta Lake environments
  • Proficiency in Python (preferred) for developing scalable, maintainable, and production-ready data pipelines within Databricks
  • Experience working within the Azure ecosystem, especially Azure Databricks, Delta Lake, and cloud migration initiatives
  • Experience working within Agile/DevOps delivery environments and cross-functional technical teams
  • Prior experience working with healthcare claims data and understanding healthcare/benefits domain concepts, including claims, eligibility, providers, and benefit fund cost drivers


Soft Skills (Interpersonal Skills):

  • Ability to communicate technical concepts and tradeoffs effectively to both technical and non-technical stakeholders
  • Strong collaboration and participation within Agile/DevOps teams
  • Comfort working in ambiguous, fast-paced, and evolving environments
  • Ownership mentality with proactive identification of risks, inefficiencies, and improvement opportunities
  • Pragmatic decision-making and ability to balance ideal architecture with delivery timelines
  • Continuous learning mindset and adaptability to new technologies and platforms
  • Mission-oriented approach focused on improving operational efficiency and member outcomes


Education:

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field, or equivalent combination of education and hands-on experience


Language Skills:

Strong verbal and written communication skills in English, including the ability to read, write, understand, and effectively communicate technical and business information.


Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions.

  • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling
  • Over 2/3 of the time: Talking or Hearing
  • 100% of the time: Using Hands


Work Environment:

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.