Pay
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Fabric Analytics Engineer
Wisconsin, United States
Actively hiring, first seen by us 11 days ago- Pay
- Pay not listedSimilar roles state $122K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingArchitect end-to-end data solutions using Microsoft Fabric components and OneLake
Build batch, streaming, and API-based ingestion pipelines in Fabric Data Factory
Design scalable insurance data models and storage strategies
Implement Fabric governance, cataloging, sensitivity labels, and access control
Provide technical direction to data engineers, analysts, and BI developers
From the employer’s posting
Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.
Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control.
Provide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects.
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202611 days ago
- Recorded sightings
- 49
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 11
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
EXL Service is hiring
200 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 5% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Power BI
Where the posting names them
- Strong knowledge of data governance, metadata management, and data quality practices. - Proficiency with SQL, Python, and modern data engineering frameworks. - Excellent communication and stakeholder management skills.
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process. Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake. • Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information. • Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards. • Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations. • Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads. • Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments. - Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules.
- Support regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state-level regulations, and data privacy laws. - Partner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI. - Ensure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails.
- 5+ years of experience in data architecture, data engineering, or analytics platform design. - Strong hands on experience with Microsoft Fabric and related Azure services. - Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).
- Excellent communication and stakeholder management skills. - Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse. - Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).
- Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse). - Certifications such as Azure Data Engineer - Prior experience in P&C or Life insurance data modernization programs.
Your next step
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
Has EXL Service posted this job before?
Yes. We’ve followed one other Fabric Analytics Engineer job there since August 2026. It is still up.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Hybrid; Newark, NJ
Up to $104k plus bonus
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.
• Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
• Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.
• Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
• Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads.
• Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.
- Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules.
- Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control.
- Support regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state-level regulations, and data privacy laws.
- Partner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI.
- Ensure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails.
- Evaluate new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies.
- Collaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions.
- Provide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects.
- Lead design reviews and enforce architectural consistency across data initiatives and engineering teams.
- Define and implement Fabric best practices for performance tuning, storage optimization, and cost governance.
- Establish strong data security models, including RBAC, encryption, data masking, and secure access patterns.
- Monitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience.
Candidate Profile:
- 5+ years of experience in data architecture, data engineering, or analytics platform design.
- Strong hands on experience with Microsoft Fabric and related Azure services.
- Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).
- Expertise in data modeling (dimensional, canonical, semantic models).
- Strong knowledge of data governance, metadata management, and data quality practices.
- Proficiency with SQL, Python, and modern data engineering frameworks.
- Excellent communication and stakeholder management skills.
- Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
- Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).
- Certifications such as Azure Data Engineer
- Prior experience in P&C or Life insurance data modernization programs.
- Needs to work from client location in Newark, NJ
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wisconsin, United States
Hybrid; Newark, NJ Up to $104k plus bonus
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.