Data Engineer

Jack; United States; On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Competitive medical, dental, and vision plans

Company-paid life, AD&D, and disability insurance

401(k) with company match

Paid parental leave and family medical leave

14 company-paid holidays and generous PTO

Pet insurance and wellness perks

Job summary

A national financial services firm is seeking an entry-level Data Engineer to manage an Azure-based data warehouse and develop scalable data pipelines. The role involves close collaboration with analysts and requires skills in Python, SQL, and data modeling. This position offers competitive benefits and an opportunity to contribute to client financial well-being.

Qualifications

• 1–2 years in data engineering.
• Experience in Python for data pipelines and transformation.
• Strong SQL skills and familiarity with version control.

Responsibilities

• Manage and optimize Azure-based data warehouse performance.
• Design, develop, and maintain ETL/ELT pipelines using Python.
• Collaborate with analysts to optimize data for Power BI dashboards.

Skills

Python

SQL

Data modeling

Azure

Power BI

Education

Bachelor’s in Computer Science, Engineering, or related field

Tools

Azure-native tools

Version control (Git)

Job description

A national financial services firm focused on helping families simplify and enhance their financial lives. The firm provides an integrated approach combining financial planning, investment management, tax, estate, and insurance services, all delivered by a collaborative team. With an emphasis on innovation, diversity, and flexible work arrangements, employees are empowered to make meaningful contributions to clients’ financial well-being.

The Data Engineer will manage an Azure-based data warehouse, develop scalable data pipelines, and implement optimized target data models. This role requires close collaboration with analysts, data scientists, and business stakeholders to translate business needs into technical solutions, ensuring data accuracy, integrity, and accessibility.

Benefits

• Competitive medical, dental, and vision plans, including company contributions to HSAs
• Company-paid life, AD&D, and disability insurance
• 401(k) with company match
• Paid parental leave, family medical leave, and adoption assistance
• 14 company-paid holidays, generous PTO, and concierge services
• Pet insurance and additional wellness perks

Responsibilities

• Manage and optimize Azure-based data warehouse performance, security, and availability.
• Design, develop, and maintain ETL/ELT pipelines using Python and Azure-native tools.
• Implement end-state target data models to support analytics, reporting, and business intelligence.
• Collaborate with analysts to optimize data for Power BI dashboards and reporting.
• Partner with cross-functional teams to deliver data solutions and provide technical guidance.
• Identify opportunities to enhance data architecture, pipelines, and processes.

Qualifications

• Bachelor’s in Computer Science, Engineering, or related field (Master’s preferred).
• 1–2 years in data engineering
• Experience in Python for data pipelines and transformation
• Experience in data modeling, schema design, and optimization
• Experience in Power BI data consumption and reporting
• Strong SQL skills and familiarity with version control (Git).
• Preferred: Experience in financial services or investment management.
• Preferred: Knowledge of CI/CD pipelines, DevOps in Azure, and advanced analytics.
• Preferred: Understanding of data governance, security, and compliance standards.

Seniority level

• Entry level

Employment type

• Full-time

Industries

• Technology, Information and Internet, Financial Services, and Technology, Information and Media