Data Engineer
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Job Location:
Clayton, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Data Engineer will contribute to the development and maintenance of Monetas 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 Monetas 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 :
- 24 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.
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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Moneta is an independent Registered Investment Advisor (RIA) wholly focused on going further for our clients. We are one firm with many solutions and we provide a full spectrum of financial advisory services. Still, our true purpose is centered on building relationships and providing ... View more
