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Data Engineer
Data EngineerMoneta • Clayton, Ohio, USA
Data Engineer

Data Engineer

Moneta • Clayton, Ohio, USA
12 days ago
Job type
  • Full-time
Job description

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

    Experience : years

    Vacancy : 1

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