Financial Data Tools

Financial Data Tools Engineer Jobs

4 jobs found

9d ago

Data Engineer – Corporate Technology Data Engineering & Analytics

MassMutual Boston, MA

Boston, MA

9d ago

$134k - $176k/yr Full time Analytics Big Data Business Analytics

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Job Description

MassMutual's Corporate Technology Data Engineering & Analytics team is seeking a data engineer to join our Boston hybrid environment. You will design and build ELT pipelines, data marts, and data warehouse solutions to support Investment Management, collaborating with analysts, architects, and business stakeholders to translate needs into scalable data assets.

Our culture emphasizes collaboration, inclusion, and support. You will be part of a community that helps you grow professionally while pursuing personal goals. The hybrid work model blends on-site collaboration with flexible remote days, reflecting our commitment to balancing work and life.

Benefits

Generous paid time off, holidays, and taking care time for health or personal needs
Comprehensive health and well-being benefits
Programs that support financial well-being, including retirement planning
Taking Care initiatives for health and personal needs
Giving Back through volunteering and donation programs
Commuter benefits
Three paid volunteering days
Well-Being Wallet for wellness-related expenses
Maternity and parental leaves
Caregiver leave up to 320 hours
MassMutual Foundation donation matching up to $5,000 annually
Educational assistance programs
Medical and dental coverage
401(k) plan with company match

Responsibilities

Design, build, and measure complex ELT jobs to integrate disparate data sources into a high-integrity, clean data asset
Contribute to data modeling policies, procedures, and standards
Capture and document data flows, database design, and related technical information
Develop data quality standards and implement tools to ensure accuracy and reliability
Collaborate with Investment Management departments to understand new data patterns
Work with Data Analysts, Data Architects, and BI developers to deliver scalable solutions aligned with business goals
Translate high-level business requirements into detailed technical specifications

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems or a related technical field
8+ years of experience in data analytics, data modeling, and database design
5+ years of experience with ELT methodologies and tools
5+ years of experience designing, developing, tuning, and troubleshooting SQL
3+ years of coding and scripting (Python, Java, Scala) and design experience
2+ years of experience with the Spark framework

Technologies

Python
Java
Scala
SQL
Spark
Informatica PowerCenter
Informatica IDMC
Vertica
Snowflake
Power BI
Tableau
Blackrock Aladdin
CRD
Eagle STAR
Eagle Pace
Eagle DataMart
GoldenSource
FINBOURNE
NeoXam
RIMES
JPM Fusion

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10d ago

Senior Finance Data Engineer / Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

10d ago

Full time Analyst Analytics Business Analytics

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Job Description

Stellantis, based in Auburn Hills, Michigan, is seeking a Senior Finance Data Engineer / Data Analyst to strengthen FP&A capabilities with Power BI–based reporting and analytics. The role centers on building scalable data models and managing the full data lifecycle from raw sources through semantic presentation, with a focus on data accuracy, performance, and secure access for financial users. This onsite position supports critical planning and analysis initiatives in a fast-paced environment.

Responsibilities

Oversee the end-to-end Power BI data lifecycle, from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard development (Gold layer).
Maintain data accuracy, performance, and security across all FP&A reporting tools.
Administer user access and implement role-level security within Power BI Service.

Requirements

Advanced proficiency in Power BI, Power Query, and DAX.
Experience integrating data from multiple sources such as Excel, CSV, and ERP systems like SAP or OneStream.
Ability to clean, transform, and standardize data into analytics-ready models.
Experience deploying and maintaining dashboards in Power BI Service.
Foundational understanding of financial reporting structures including P&L, revenue, cost, and variance analysis.
Strong analytical mindset with focus on data accuracy, consistency, and performance optimization.
Bachelor’s degree in Data Analytics, Computer Science, Financial Technology or related field.
Minimum of 5 years of extensive experience with Power BI.
Minimum of 8 years of overall relevant work experience.
Ability to thrive in a fast-paced, dynamic work environment.

Technologies

Power BI
Power Query
DAX
Excel
CSV
SAP
OneStream
Power BI Service

Preferred Qualifications

Power BI certification or similar credentials
Experience with ETL tools or scripting languages (SQL, Python) for advanced data transformation
Experience with OneStream, SAP or Oracle tools

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1mo ago

Senior Data Engineer (Microsoft Fabric & Power BI)

Central Point Partners Remote 🌍 Remote

Remote

1mo ago Closed

$115k - $130k/yr Full time Senior Analytics Azure Data Factory

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

A Senior Data Engineer specializing in Microsoft Fabric and Power BI is sought to design, build, and govern a modern enterprise data platform. This role enables real-time operational and financial reporting across multiple entities by delivering scalable data pipelines, robust governance, and insightful analytics.

Responsibilities

Design and govern the enterprise data architecture within Microsoft Fabric, covering Lakehouses, Dataflows Gen2, data pipelines, and semantic models, with established governance standards.
Build and maintain scalable ELT pipelines that integrate data from IFS Cloud, Vista, ComputerEase, Sage Intacct, CRM, and other operational platforms.
Develop data models supporting WIP and Percentage of Completion reporting, Job costing, AR aging, Retainage, Field service operations, and multi-entity financial reporting.
Lead Power BI architecture and governance efforts, including semantic layer design, row-level security, dataset certification, deployment pipelines, and workspace administration.
Collaborate with Finance, Operations, and IT to translate business requirements into scalable reporting and analytics solutions.
Establish data quality, monitoring, testing, and governance standards across the enterprise data platform.
Mentor analysts and technical team members on Power BI development standards and reporting best practices.
Support future analytics initiatives, including predictive analytics, self-service BI, and AI-enabled reporting capabilities.

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

Requirements

7+ years of experience in data engineering, data architecture, or senior BI development roles.
Hands-on experience with Microsoft Fabric including Lakehouses, Data Factory pipelines, Dataflows Gen2, OneLake governance, and Semantic model deployment.
Advanced Power BI experience including DAX, composite models, DirectQuery and import optimization, deployment pipelines, and workspace administration.
Strong experience with enterprise data modeling (dimensional and relational).
Experience working with ERP and financial systems such as IFS, Vista, ComputerEase, Sage Intacct, Procore, and similar platforms.
Strong SQL and Python skills for data transformation and pipeline development.
Experience with ETL/ELT and integration tools such as Azure Data Factory, Fabric pipelines, and Boomi.
Excellent communication and stakeholder collaboration skills.

Technologies

Microsoft Fabric
Power BI
Lakehouses
Dataflows Gen2
OneLake
Azure Data Factory
Fabric pipelines
Boomi
SQL
Python
DAX
Composite models
DirectQuery
Deployment pipelines
Sage Intacct
IFS
Vista
ComputerEase
Procore

Benefits

401(k)
401(k) matching
Health insurance
Paid time off

Location

Remote

Job Type

Full-Time

Reports To

Director of Enterprise Applications & Business Intelligence

Compensation

USD 115,000 - 130,000 per year, plus benefits

Why Join Us

Opportunity to build a modern enterprise data platform from the ground up
High visibility and influence across enterprise reporting and analytics strategy
Executive sponsorship and long-term investment in data modernization
Collaborative environment focused on scalable, data-driven decision making
Competitive compensation, 401(k) match, and comprehensive benefits package

Preferred Qualifications

Experience supporting construction, MEP, field service, or project-based operational environments
Experience supporting multi-entity financial reporting
Predictive analytics or AI-enabled reporting experience
Experience implementing enterprise BI governance standards
Experience mentoring analysts or engineering teams

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1mo ago

Senior Financial Data & Analytics Engineer

Stony Brook University Stony Brook, NY

Stony Brook, NY

1mo ago Closed

$110k - $120k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

The Senior Financial Data & Analytics Engineer at Stony Brook University designs, builds, and sustains enterprise financial data infrastructure for the School of Medicine. The role covers creating data pipelines, integrating core systems, and delivering executive dashboards, with a high degree of independence to architect scalable, secure analytics that inform institutional financial strategy.

Role Overview

The incumbent operates under general direction to develop robust data architectures, support financial planning, and enable data-driven decision making for leadership across departments. This position requires collaboration with IT, enterprise data teams, and key stakeholders to ensure reliable, high-performance analytics aligned with institutional goals.

Responsibilities

Design and deploy a centralized financial data warehouse that consolidates data from PeopleSoft, HR, CPMP, Report Center, SOMDASH, and external sources.
Develop and sustain ETL and ELT pipelines for both structured and semi-structured data.
Build and manage API-based data ingestion pipelines.
Ensure the data architecture remains scalable, fast, and reliable.
Collaborate with IT and enterprise data teams on infrastructure and platforms design.
Develop analytics models for physician productivity (wRVUs), reimbursement, and compensation.
Incorporate benchmarking data such as Vizient for comparative performance analyses.
Construct predictive and trend models to support financial planning.
Analyze payer mix, revenue cycles, and department-level cost structures.
Design data models to support funds flow, ROI analysis, and All-Funds financial reporting.
Develop multi-dimensional datasets integrating clinical, academic, and financial data.
Establish standardized metrics and definitions for institutional reporting.
Support scenario modeling and financial forecasting efforts.
Develop and maintain executive dashboards using Tableau or equivalent BI tools.
Create self-service analytics tools for departments and leadership.
Design intuitive, scalable, and interactive reporting solutions.
Translate complex datasets into actionable insights for stakeholders.
Establish and enforce data quality, validation, and reconciliation processes.
Support data governance frameworks and compliance with institutional policies.
Collaborate with SOM Finance, Clinical Practice, HR, IT, and leadership stakeholders.
Present findings and recommendations to executive leadership.
Perform other duties and special projects in support of departmental and institutional research missions.

Requirements

A bachelor's degree (or foreign equivalent) in Data Science, Computer Science, Information Systems, Finance, Economics, or a related field.
Five or more years of full-time experience in data engineering, data analytics, or financial analytics within a healthcare or enterprise environment.
Experience with SQL and relational databases, data warehouse design (dimensional modeling, star schema), ETL/ELT pipeline development, API integration and data ingestion, and Tableau or equivalent BI platforms.
Experience integrating data across ERP systems (such as PeopleSoft), HR systems, and operational or clinical data sources.
Knowledge of physician productivity metrics (e.g., wRVUs) and healthcare financial data structures.

Technologies

SQL
Tableau
Power BI
Excel
Snowflake
Databricks
Azure
AWS
Python
R
PeopleSoft

Benefits

UUP annual location pay ($4000)

Job Details

Job Number: 2601287
Official Job Title: Assistant for University Financial Analysis
Job Field: Administrative & Professional (non-Clinical)
Primary Location: US-NY-Stony Brook
Department/Hiring Area: Office Of Dean, Medicine
Schedule: Full-time, Day Shift, 8:30 AM - 5:00 PM
Posting Start Date: May 8, 2026
Posting End Date: Jun 7, 2026, 10:59:00 PM
Appointment Type: Permanent
Salary: $110,000-$120,000
Salary Grade: SL4
SBU Area: Stony Brook University

Special Notes

This is a full-time, FLSA Exempt position not eligible for overtime. Minimum salary threshold must be met to maintain exemptions.
In addition to base salary, the position is eligible for $4000 UUP annual location pay, paid biweekly.
We are unable to sponsor candidates for work visas for this position.

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Financial Data Tools Engineer Jobs

Data Engineer – Corporate Technology Data Engineering & Analytics

Senior Finance Data Engineer / Data Analyst

Senior Data Engineer (Microsoft Fabric & Power BI)

Senior Financial Data & Analytics Engineer

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