Data Engineer IV

About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee's voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data Engineer IV

Job Description

• Location: Chicago, Illinois
• Type: Contract
• Job #80391

Our client, a leading financial company, is hiring a Data Engineer IV on a contract basis

Job ID #: 80391

Work Location: REMOTE

Summary:

Please note this role will be fully remote and the selected candidate will not be expected to report to any onsite location.

Data Governance - Data Quality Analyst
Responsible for ensuring the accuracy, completeness, and reliability of data within an organization. Their primary role is to assess, monitor, and improve the quality of data to support effective decision-making and business operations.
The key responsibilities of a Data Governance Analyst - Data Quality typically include:

• Data profiling and analysis: Conducting in-depth analysis of data to identify inconsistencies, errors, and anomalies, and assessing data quality against defined standards and requirements.

• Data cleansing and validation: Developing and implementing data cleansing processes to correct errors, remove duplicates, and standardize data formats. Validating data accuracy and integrity through various techniques such as data matching and data validation rules.

• Data quality monitoring: Establishing data quality metrics and monitoring systems to continuously assess data quality levels. Identifying trends, patterns, and issues related to data quality and proactively addressing them.

• Data governance and compliance: Collaborating with data governance and data stewards teams to ensure adherence to data quality standards, policies, and regulatory requirements. Participating in data governance initiatives and providing input on data quality-related matters.

• Data documentation and reporting: Creating and maintaining documentation related to data quality processes, standards, and procedures. Generating reports and presenting findings on data quality metrics, issues, and improvement initiatives to stakeholders.

• Data quality improvement: Developing plans to improve data quality, including data cleansing, data enrichment, and data standardization efforts. Collaborating with relevant teams to address root causes of data quality issues.

• Data quality training and awareness: Conducting training sessions and workshops to educate users and stakeholders on data quality best practices, data entry guidelines, and data quality management techniques.

• Data integration and migration: Assisting in data integration and migration projects by ensuring data quality during the process. Collaborating with IT teams to define data quality requirements and validate data accuracy after integration or migration.

A Data Governance - Data Quality Analyst plays a vital role in maintaining the integrity and reliability of data within an organization, enabling better decision-making, improved operational efficiency, and compliance with data governance standards.

Pay Range: $80-86