Data engineer

Job Description

LRS Consulting Services is seeking a Data Engineer for a contract opportunity. This role offers the chance to apply your skills in support of meaningful work for one of our client partners. LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We've built a solid reputation for dealing with our clients and our consultants with honesty, integrity, and respect. We work hard every day to maintain that reputation.

Seeking a Data Engineer to support a high-volume investments data roadmap. This role will help ingest, curate, reconcile, and deliver data for key platforms and reporting needs.

Day to Day Responsibilities:

• Build and maintain data pipelines in Snowflake
• Transform and curate raw source data into usable data models and reporting datasets
• Reconcile new data structures with existing file-based feeds and production outputs
• Support integrations with external platforms, including BlackRock and State Street
• Develop data ingestion patterns for SFTP, Snowflake shares, change data capture, and replication-based feeds
• Partner with business, accounting, and technology stakeholders on data requirements and production releases

Requirements:

• Strong hands-on Snowflake experience
• Experience with dbt
• Data engineering background, including SQL development and data modeling
• Experience building and supporting production data pipelines
• Ability to work through data reconciliation, source-to-target mapping, and data-quality issues
• SQL Server experience preferred
• Experience with change data capture tools or patterns preferred
• Familiarity with financial-services, investment, accounting, or mortgage-servicing data preferred
• Experience working with vendor-hosted/SaaS data platforms and SFTP-based integrations

Candidate must be able to effectively communicate in English (written & verbal)

The base range for this contract position is $55.00 - $70.00 per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. If you have any questions, please contact us by clicking here.