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Data Analytics Engineer ELT - (Hybrid)

WMCHealth

Valhalla, NY · HybridFull-time$100–126K/yrSeen 1w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$100–126K/yr
Location
Valhalla, NYHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Analytics Engineer will expand and optimize the enterprise data warehouse to support data-driven decisions across clinical and non-clinical domains. The role builds and maintains data pipelines, transforms and organizes data for analysis, and develops dashboards and analytics tools. It also supports data governance, quality, security, and stakeholder needs while recommending improvements to data engineering techniques and architecture.

Skills & qualifications

RequiredNice to have

Skills

SQLCI/CD DevelopmentCloud Data WarehousingPythonRTable DesignPipeline DesignPipeline MonitoringOrchestration and SchedulingData ProfilingData AnalysisTroubleshootingDashboard DevelopmentData VisualizationData ModelingData DocumentationSSMSSQL ServerSSIS Visual StudioStatisticsStatistical SoftwareWritten CommunicationVerbal CommunicationIndependenceTeamwork

Qualifications

1+ Years Analytics Engineer ExperienceBachelor's in Quantitative FieldBachelor's DegreeMaster's Degree

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Tuition Assistance

Full job description

Data Analytics Engineer ELT - (Hybrid)

Company: NorthEast Provider Solutions Inc.

City/State: Valhalla, NY

Category: Finance/Info Systems

Department: DMA-Data Management &Analytics

Union: No

Position: Full Time

Hours: 40

Shift: Day

Req #: 49591

Posted Date: Oct 07, 2026

Hiring Range: $100,287 - $126,083

Apply Now

External Applicant link (https://pm.healthcaresource.com/cs/wmc1/#/preApply/34385) Internal Applicant link

*If you are hired by WMCHealth, your final base salary will be determined based on job-related factors, including employment status (full-time, part-time or per diem), relevant skills, qualifications and experience. Consistent with our commitment to pay equity, we also consider internal equity among similarly situated employees when determining final compensation.

Job Details:

Job Summary:

As an Analytics Engineer within the Operational Excellence & Enterprise Analytics Department, you will be responsible for expanding and optimizing our network enterprise data warehouse, thus enabling our organization to make data-driven decisions and improvements. The ideal candidate has skills as a data pipeline developer and data wrangler who enjoys optimizing data systems and building them from the ground up. You must be self-directed and comfortable supporting the data needs of multiple teams and systems in the clinical and non-clinical domains. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to enable data-driven decision making for strategic, operational, and clinical domains.

Responsibilities:

  • Build the infrastructure required for optimal extraction, loading, and transformation (ELT) of data into our enterprise data warehouse (EDW) from a wide variety of data sources using SQL and Cloud data warehousing technologies (Azure, AWS, Snowflake, etc.).

  • Create and maintain optimal data pipeline ingestion architecture for various unstructured and structured data sources.

  • Strong business process acumen with the ability to attribute how specific clinical or non-clinical business processes generate data.

  • With a comprehensive understanding of how our operational processes generate data, develop the transformation logic to establish structured and analytical data repositories across various domains.

  • Using data orchestration and scheduling techniques, combine and organize siloed data from multiple data storage locations, making it available for data analysis tools and enabling automation.

  • Develop and maintain front-end analytics tools and dashboards (Tableau/Power BI) that utilize the data pipeline to provide actionable insights into operational performance and other key business performance metrics.

  • Successfully implement sound data cataloging and analytics development best practices to create organized inventories and source control which aid in data governance.

  • Ensure data quality & governance at the enterprise level by utilizing data lineage techniques and following standard data documentation practices.

  • Collaborate with stakeholders including Executive leadership, Operations Management, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

  • Ensure internal and external data security standards are maintained to safeguard our enterprise and patient data.

  • Provide recommendations to enhance our data engineering techniques and architecture design.

  • Create data tools and collaborate with management engineering, analytics, and data scientist team members to assist them in building and optimizing various analytics solutions.

  • Utilize agile skills that draw from other disciplines such as management consulting, business administration, organizational development, information technology, and computer science.

Qualifications/Requirements:

Experience:

Minimum of 1 year of experience in an Analytics Engineer role, with an undergraduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field, required.

  • Proficiency in SQL, required

  • CI/CD development experience for data transformation with SQL, highly preferred

  • Experience with Cloud Data Warehouse architecture (Snowflake/Azure), preferred

  • Experience with Python, R, or other programming language, preferred

Education:

Bachelor’s degree, required, Master’s degree, preferred.

Licenses / Certifications:

N/A Skills: Experience in SQL development, table design, pipeline design and build, pipeline monitoring, orchestration & scheduling, data profiling, expertise in analyzing data to identify gaps and inconsistencies, troubleshooting, dashboard development/visualization, Cloud EDWs (Snowflake/Azure preferred), Data modeling, Data documentation, SSMS, SQL Server, SSIS Visual Studio. Excellent written and verbal communication with a strong drive for perfection/professionalism in delivery and presentation. Proven ability to work both independently on projects and as part of a larger team. Advanced proficiency in statistics and statistical software with an ability to visualize data for improvement/performance monitoring. Special Requirements:

About Us:

NorthEast Provider Solutions Inc.

Benefits:

We offer a comprehensive compensation and benefits package that includes:

  • Health Insurance

  • Dental

  • Vision

  • Retirement Savings Plan

  • Flexible Savings Account

  • Paid Time Off

  • Holidays

  • Tuition Reimbursement

Apply Now

External Applicant link (https://pm.healthcaresource.com/cs/wmc1/#/preApply/34385) Internal Applicant link

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How this job compares

Set against the 694 open Analytics Engineer jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$100–126K/yr
  • New York median$150–215K/yr81 salary ranges
  • US median$116–210K/yr586 salary ranges

This range's midpoint, $113K, is 40% below the New York median midpoint ($190K) — in the lowest quarter of Analytics Engineer salary ranges in New York.

Openings
Olive Jobs lists 96 open Analytics Engineer jobs in New York and 694 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 1 year of experience — less than three in four Analytics Engineer postings that state a minimum ask for (median 5 years, across 590 postings).
Education
This posting asks for a bachelor's degree; 333 of the 694 open Analytics Engineer jobs (48%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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