Data Engineer

Precision Resources•Dothan, AL

48d•$90,000 - $115,000•Onsite

About The Position

Precision Resources, a division of The Trimarc Group, Inc. is currently searching for a Data Engineer for a permanent ONSITE position for one of our Dothan, Alabama clients. The qualified individual will be responsible for the design, development, and maintenance data pipelines for efficient data processing and integration for real-time and batch-processing. This position requires a US Citizenship or Green card. Compensation: $90,000 to $115,000 Relocation Assistance Healthcare, Insurance, 401k Holiday, vacation and PTO

Requirements

5+ years of experience designing and/or implementing ETL/ELT processes and data integration.
Solid understanding of data warehousing concepts, ETL processes, and data modeling techniques.
Experience with integration tools Qlik, Talend, Informatica, SSIS
Strong understanding of data governance, MDM, metadata management, and data quality frameworks.
Proven ability to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
Demonstrated experience in mentoring and knowledge-sharing within cross-functional teams.
Must be a US Citizen or Green Card holder. C2C or candidates requiring sponsorship will not be considered.

Nice To Haves

Hands-on experience with cloud data platform adoption or migration (e.g., Snowflake, Azure Synapse, Microsoft Fabric, Redshift, or BigQuery).
Familiarity with business intelligence tools such as MicroStrategy, Power BI, or Tableau.
Working knowledge of regulatory and compliance standards (e.g., GDPR, HIPAA, SOX).

Responsibilities

design, development, and maintenance data pipelines for efficient data processing and integration for real-time and batch-processing.
Load/Extract, Load, Transform pipelines for both batch and real-time data processing.
Utilize data integration to ingest data from various sources (SQL databases, APIs, cloud platforms, flat files) into target data warehouses or data lakes.
Monitor and optimize data integration processes and applications for performance, identifying and resolving problems in data loading and query execution.
Ensure data quality and consistency within the data warehouse.
Develop custom integrations and transformations using SQL and/or Python.
Experience developing and maintaining logical and physical data models.