Data Engineer

Job Title: Data Engineer

Location: 100% Remote

Duration: Contract - 4-6 months

Start Date: September 28, 2026

Rate: $55/hr on w2

Client: Grant Thornton LLP

MUST-HAVE SKILLS

Extensive hands-on experience with Informatica IDMC

Extensive hands-on experience with Snowflake

Strong experience with Microsoft technologies, including

SQL Server

Synapse

Azure Data Factory

Azure Databricks

Strong hands-on experience in data management and data pipeline development

Experience must be focused on hands-on development, not oversight or support.

JOB OVERVIEW

Grant Thornton s Information Technology (IT) vision and strategy consists of three pillars: Application Modernization, AI, and Data. The Data organization aims to enable data-driven decision-making through a firm-wide data strategy that ensures accurate and meaningful reporting while generating actionable insights and opportunities.

The Data Engineer will be responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.

The role involves building and managing data pipelines that enable efficient and reliable data integration, transformation, and delivery for data users across the enterprise.

The Data Engineer will collaborate with various groups within the Technology organization and across the firm to deliver high-value technology solutions and achieve organizational success.

RESPONSIBILITIES

Design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into appropriate data storage systems.

Collaborate with architects, data scientists, AI engineers, and analysts to manage data as an asset and optimize models and algorithms for data quality, security, and governance.

Integrate data from different sources, including databases, data warehouses, APIs, and external systems.

Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed.

Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.

Optimize data pipelines and data processing workflows for performance, scalability, and efficiency.

Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance.

Implement data quality checks and validations within data pipelines to ensure accuracy, consistency, and completeness of data.

Take authority, responsibility, and accountability for exploiting the value of enterprise information assets and analytics used for decision-making, automated decisions, and augmentation of human performance.

QUALIFICATIONS

Bachelor s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related quantitative field.

8+ years of overall experience in Data Engineering, primarily within data, including experience with:

Data Modeling

ETL/ELT

Data Integration

Master Data Management / Entity Management

Data Quality

Data Warehousing

Analytics Prescriptive & Predictive

Business Intelligence

Data Science

Data Governance

Proficiency in programming languages such as C#, Python, SQL, and Java.

Experience with Microsoft technologies, including

SQL Server (IaaS, PaaS)

Synapse

CosmosDB

HDInsight

Azure Data Factory

Azure Databricks

Power BI

Fabric

Experience with Informatica cloud technologies, including

CIH

DIH

CDGC

Master Data Management

Data Quality

Strong experience with Snowflake and other relevant industry-leading technologies.

Ability to communicate clearly and concisely with others, including senior leadership, in and outside the organization.

Ability to translate complex technical information into straightforward language for technical and non-technical audiences.

Strong critical and creative thinking skills with the ability to research, analyze complex data, recognize trends, identify opportunities, and make timely decisions.

Ability to proactively identify solutions, take initiative, and drive continuous improvement.

Ability to work effectively across different situations, prioritize workstreams, and balance short-term and long-term objectives.

Strong interpersonal skills with a positive, respectful, and collaborative approach.

Ability to remain composed and resilient while handling challenging situations and conflicts.

Ability to build strong relationships with stakeholders and demonstrate personal accountability.

NICE-TO-HAVE SKILLS

Certifications in relevant technologies listed above.

Previous experience in the professional services or accounting industry.

Previous client service or consultative experience.

Previous experience working in a managed services provider environment.

WORK SCHEDULE

This is a 100% remote opportunity collaborating with teams based in both the United States and Ireland.

Schedule flexibility is essential to accommodate cross-time-zone coordination with Ireland-based teams.

WORK AUTHORIZATION

This position may be offered to a candidate authorized to work in the US for their stated employer, without restrictions that would prevent the candidate from working on the proposed assignment for the duration of the assignment.

INTERVIEW PROCESS

30-minute Technical Interview with Manager

30-minute Interview with Director

Candidates selected for an interview are required to complete the mandatory identity verification process.

-