Job Description
The **Data Engineer** will contribute to the development and maintenance of Moneta’s enterprise data infrastructure. This role is ideal for a technically skilled and collaborative professional who thrives in a fast-paced environment and is eager to grow within a modern Microsoft-centric data stack.
You will support the implementation of scalable data solutions, contribute to ETL/ELT pipeline development, and ensure data quality across Moneta’s analytics ecosystem. This role is a great fit for someone who enjoys hands-on engineering work, values mentorship, and is ready to take ownership of impactful data projects.
**Essential Responsibilities**
- **Build and Maintain Data Pipelines:** Develop and optimize ETL/ELT workflows using tools within Microsoft Fabric, including Dataflows Gen2, Pipeline, and Notebook experiences.
- **Support Core Data Platforms** : Work within SQL Server, Snowflake, and Microsoft Fabric environments to manage data lakes, warehouses, and integrations.
- **Collaborate Across Teams:** Partner with data architects, analysts, and business stakeholders to deliver reliable and scalable data solutions.
- **Ensure Data Quality and Governance:** Implement validation checks, lineage tracking, and documentation to support data integrity and compliance.
- **Participate in System Integrations:** Assist in building and maintaining data flows using MuleSoft to connect Salesforce, internal databases, and external platforms.
- **Enable Analytics and Applications:** Support the delivery of insights through Power BI dashboards and contribute to internal tooling via Power Apps.
- **Engage in Continuous Improvement:** Participate in code reviews, technical discussions, and learning opportunities to enhance engineering practices.
Qualifications
- 2–4 years of experience in data engineering or related roles.
- Proficiency in SQL and Python; experience with Microsoft Fabric ETL tools preferred.
- Hands-on experience with SQL Server, Snowflake, and MuleSoft.
- Palantir experience a plus.
- Familiarity with Power BI and Power Apps for analytics and internal tooling.
- Understanding of data modeling (dimensional and normalized), warehousing, and pipeline orchestration.
- Strong communication skills and a collaborative mindset.
- Must be authorized to work in the United States, we do not provide future sponsorship.
Additional Information
_This is a full-time, exempt, salary position reporting to the Director of Decision Science._
Benefits
Moneta is committed to providing the best possible care for our employees; part of this care includes offering comprehensive benefits that enhance the well-being of employees and their families:
- Paid holidays
- Paid time off (PTO)
- Employer cost-shared medical and dental insurance
- Employer-paid short-term disability, long-term disability, AD&D insurance, and basic life insurance
- 401k Match – 50% of employee contributions up to 6% of compensation
- Discretionary annual profit-sharing bonus
- Paid parental leave
- Professional development reimbursement
- Paid volunteer time off (VTO)
- Employee referral incentive bonus program
- Onsite wellness programs & rewards
- Employee engagement activities
**Moneta is a fiduciary fee-only Registered Investment Advisory firm and unable to hold securities licenses with the exception of Series 65. We also do not allow outside business activities, insurance commissions and/or trails.**