DATA ENGINEER

DATA ENGINEER

Hybrid in Fort Worth, TX, US • Posted 4 hours ago • Updated 4 hours ago Contract Independent Contract W2 On-site $65,000 - $70,000/yr Fitment Dice Job Match Score™ 🤯 Applying directly to the forehead... Job Details Skills Accounting ELT SQL Scripting Reporting Python Workflow Finance Data Quality Data Warehouse Data Validation Documentation Extract Transform Load Financial Reporting Collaboration Conflict Resolution Amazon Web Services Amazon S3 Problem Solving Business Intelligence Cloud Computing Data Analysis Data Engineering Technical Writing Amazon Redshift Analytical Skill Analytics Summary Data Engineer Finance (1 2 Years Experience)

Company:

AaraTech Inc About the Role > AaraTech Inc is seeking a motivated Data Engineer Finance to support financial data pipelines, reporting platforms, and analytics solutions. In this role, you will assist with building and maintaining data workflows that support finance, accounting, and reporting teams. You will work closely with data analysts, business teams, and senior engineers to ensure data accuracy and availability. This role is ideal for early-career professionals building a foundation in financial data engineering. Key Responsibilities > Support development and maintenance of

ETL / ELT

data pipelines Write and optimize SQL queries for financial data processing Assist with data ingestion, transformation, and validation Perform data quality checks and reconciliation Support financial reporting and analytics data needs Collaborate with BI, analytics, and finance teams Maintain technical documentation and data definitions Required Qualifications > 1 2 years of experience in data engineering, data analytics, or a related role Strong SQL skills for querying and data transformation Basic knowledge of Python or scripting languages Understanding of ETL concepts and data pipelines Exposure to financial or accounting data Familiarity with cloud platforms (AWS preferred) Strong analytical and problem-solving skills Skills > Financial Data Engineering, SQL, Python Basics, ETL / ELT Pipelines, Financial & Transaction Data, Data Ingestion, Data Transformation, Data Validation, Data Quality Checks, Data Reconciliation, Data Warehousing Concepts, Cloud Platforms (AWS Basics), S3, Redshift Exposure, Reporting Data Support, Documentation, Collaboration with BI & Finance Teams Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

91121805

Position Id:

8980771 Posted 4 hours ago