Overview
On Site
$130000 - $160000
Full Time
Skills
Database
Recruiting
Financial Services
Business Operations
FOCUS
Software Engineering
Data Engineering
Data Modeling
Star Schema
Slowly Changing Dimensions
Normalization
Microsoft Power BI
Tableau
Salesforce.com
Sales
SOQL
ELT
Data Governance
Regulatory Compliance
Dashboard
Reporting
Data Warehouse Architecture
Performance Tuning
Data Quality
Access Control
Documentation
Cloud Computing
Data Warehouse
SQL
Snow Flake Schema
Microsoft Azure
Extract
Transform
Load
Data Integration
Business Intelligence
Analytics
Mentorship
Management
Collaboration
Insurance
Finance
SAP BASIS
Job Details
Job Description
We are hiring a full-time Data Engineering Manager to lead analytics engineering efforts for a well-established, enterprise-scale financial services organization. This company operates a modern, cloud-based data platform supporting high-volume, highly regulated business operations. The role sits at the intersection of cloud data warehousing, analytics engineering, BI, and system integrations, with a strong focus on stability, security, and speed.
This is a high-ownership role for someone who wants to shape the data strategy, not just maintain pipelines. You'll lead a small but impactful analytics team, make real architectural decisions, and partner closely with software engineering on integrations that directly power business outcomes. The organization values autonomy, promotes from within, and offers strong work-life balance alongside meaningful technical challenges.
Required Skills & Experience
5+ years in data engineering or analytics engineering
2+ years managing or technically leading a data team
Deep experience with Snowflake or Azure Data Warehouse
Advanced SQL and strong data modeling expertise (star schema, SCDs, normalization tradeoffs)
Hands-on experience with BI tools (PowerBI, Tableau, or Looker)
Experience integrating Salesforce Sales Cloud (SOQL, custom objects, relationships)
Familiarity with ETL/ELT tools such as Airflow, Azure Data Factory, or Airbyte
Background in data governance, PII handling, and compliance-driven environments
Strong ability to translate business logic into scalable technical solutions
What You Will Be Doing
Manage and mentor a team of analysts responsible for dashboards, reporting, and data models
Own data warehouse architecture, schema design, and performance optimization
Partner with engineering on ETL pipelines, APIs, and source system changes
Establish standards for data quality, access controls, and documentation
Evaluate and implement tools across the modern data stack
Translate business requirements into reliable, maintainable analytics solutions
Tech Breakdown
40% Cloud Data Warehousing & SQL (Snowflake / Azure)
25% ETL / Data Integration & Architecture
15% BI & Analytics Enablement
20% Management, Mentorship & Stakeholder Collaboration
Daily Responsibilities
50% Hands On
25% Management Duties
25% Team & Cross-Functional Collaboration
The Offer
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
401(k) with employer match
Additional employee-focused financial and wellness benefits
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
We are hiring a full-time Data Engineering Manager to lead analytics engineering efforts for a well-established, enterprise-scale financial services organization. This company operates a modern, cloud-based data platform supporting high-volume, highly regulated business operations. The role sits at the intersection of cloud data warehousing, analytics engineering, BI, and system integrations, with a strong focus on stability, security, and speed.
This is a high-ownership role for someone who wants to shape the data strategy, not just maintain pipelines. You'll lead a small but impactful analytics team, make real architectural decisions, and partner closely with software engineering on integrations that directly power business outcomes. The organization values autonomy, promotes from within, and offers strong work-life balance alongside meaningful technical challenges.
Required Skills & Experience
5+ years in data engineering or analytics engineering
2+ years managing or technically leading a data team
Deep experience with Snowflake or Azure Data Warehouse
Advanced SQL and strong data modeling expertise (star schema, SCDs, normalization tradeoffs)
Hands-on experience with BI tools (PowerBI, Tableau, or Looker)
Experience integrating Salesforce Sales Cloud (SOQL, custom objects, relationships)
Familiarity with ETL/ELT tools such as Airflow, Azure Data Factory, or Airbyte
Background in data governance, PII handling, and compliance-driven environments
Strong ability to translate business logic into scalable technical solutions
What You Will Be Doing
Manage and mentor a team of analysts responsible for dashboards, reporting, and data models
Own data warehouse architecture, schema design, and performance optimization
Partner with engineering on ETL pipelines, APIs, and source system changes
Establish standards for data quality, access controls, and documentation
Evaluate and implement tools across the modern data stack
Translate business requirements into reliable, maintainable analytics solutions
Tech Breakdown
40% Cloud Data Warehousing & SQL (Snowflake / Azure)
25% ETL / Data Integration & Architecture
15% BI & Analytics Enablement
20% Management, Mentorship & Stakeholder Collaboration
Daily Responsibilities
50% Hands On
25% Management Duties
25% Team & Cross-Functional Collaboration
The Offer
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
401(k) with employer match
Additional employee-focused financial and wellness benefits
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.