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Data Reconciliation Jobs in Colorado (NOW HIRING)

Perform data reconciliation and data quality assurance activities. Analytics & Reporting * Analyze infrastructure and operational data to identify: * Trends * Risks * Performance issues * Capacity ...

New

Senior Data Engineer

Almont, CO · On-site

$75 - $85/hr

Implement data validation, reconciliation, observability, lineage, auditing, and data-quality controls. * Improve pipeline performance, recoverability, scalability, and operational supportability.

Maintain data reconciliation discipline across project management systems (Procore, etc.), ERP platforms (NetSuite, Sage), and accounting systems; establish audit protocols that resolve discrepancies ...

Maintain data reconciliation discipline across project management systems (Procore, etc.), ERP platforms (NetSuite, Sage), and accounting systems; establish audit protocols that resolve discrepancies ...

Maintain data reconciliation discipline across project management systems (Procore, etc.), ERP platforms (NetSuite, Sage), and accounting systems; establish audit protocols that resolve discrepancies ...

Proficiency in Excel and data analysis (e.g., pivot tables, lookups, data reconciliation). * Ability to manage multiple priorities and deadlines in a fast-paced environment. * Strong problem-solving ...

Liaise with clinical research staff, biostatisticians, Core Lab staff, and investigators at sites to support data transfers, data reconciliation, and analysis dataset generation. * Participate in the ...

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Data Reconciliation information

See Colorado salary details

$17

$22

$29

How much do data reconciliation jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data reconciliation in Colorado is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $25.91 per hour, depending on experience, location, and employer.

What is a data reconciliation analyst job description?

A data reconciliation analyst is responsible for comparing and verifying data from different sources to ensure accuracy and consistency. They identify discrepancies, investigate causes, and implement corrective actions, often using tools like Excel, SQL, or data management software. Strong attention to detail and analytical skills are essential for this role.

What are the typical daily responsibilities of a data reconciliation professional?

A Data Reconciliation professional is responsible for comparing and verifying data across different systems or sources to identify and resolve discrepancies. Day-to-day tasks may include reviewing transaction records, preparing reconciliation reports, following up on unmatched items, and collaborating with internal departments such as accounting, operations, or IT for resolution. They also document reconciliation processes and may recommend improvements to increase accuracy and efficiency. This role often requires managing tight deadlines and maintaining high standards of data quality, making strong organizational skills essential.

What are the key skills and qualifications needed to thrive in data reconciliation, and why are they important?

To thrive in a Data Reconciliation role, you need strong analytical abilities, attention to detail, and a solid understanding of data management principles, often supported by a degree in finance, accounting, or a related field. Experience with reconciliation software, ERP systems, advanced Excel functions, and sometimes certifications in accounting or data analysis are highly valued. Excellent problem-solving skills, effective communication, and a collaborative attitude set top performers apart. These competencies ensure accurate data matching, quick resolution of discrepancies, and the integrity of financial or operational records.

Is data reconciliation a good career?

Data reconciliation is a valuable career in finance, accounting, and data management, involving comparing and matching data from different sources to ensure accuracy. It requires attention to detail, proficiency with spreadsheets and database tools, and often offers stable employment with opportunities for advancement. The role is essential in industries that rely on precise data, such as banking, insurance, and auditing.

What is a data reconciliation?

A Data Reconciliation job involves comparing and verifying data from different sources to ensure accuracy and consistency. Professionals in this role identify discrepancies, correct errors, and ensure that records align across databases, financial reports, or operational systems. This process is crucial in industries like finance, healthcare, and logistics to maintain data integrity and compliance with regulations. Strong analytical skills, attention to detail, and proficiency in data management tools are essential for success in this role.

What are popular job titles related to Data Reconciliation jobs in Colorado? For Data Reconciliation jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Data Reconciliation job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,770 per year, or $23 per hour.

Full-time

Re-posted 16 days ago


Job description

Position: Conversion Developer-- W2 only /no C2C
Location: Denver, CO
Duration: 1 year
Required Skills:
Strong SQL and database concepts; Oracle db experience preferred;
Strong SQL*Loader skills and demonstrated experience
Responsibilities:
Work with the Data Conversion lead to understand source to target mappings;
Develop SQL scripts and SQL *Loader scripts to transform and load data to target schema;
Develop data reconciliation scripts (source to target reconciliation)