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Weekend Data Validator Jobs (NOW HIRING)

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Create, maintain and execute complex SQL queries for data management and data validation ... Provide after-hours or weekend support as needed. Demonstrate an ability to work independently.

New

Metric & Data Analyst Sr

Palmdale, CA · On-site +1

$128K - $161K/yr

... data validation and maintain integrity of dashboards & databases Maintain and optimize current ... day weekends every weekend! From onsite to remote, we offer flexible work schedules to ...

Data Engineer AI II

$120K - $145K/yr

Extend your support to after - hours or weekends as needed. * Create and maintain data pipelines as needed. * Validates the tasks results to ensure that all the requirements are met. * Adhere to all ...

Data Engineer AI II

$120K - $145K/yr

Extend your support to after - hours or weekends as needed. * Create and maintain data pipelines as needed. * Validates the tasks results to ensure that all the requirements are met. * Adhere to all ...

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Weekend Data Validator information

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$86.5K

$126.5K

$160.5K

How much do weekend data validator jobs pay per year?

As of Jun 27, 2026, the average yearly pay for weekend data validator in the United States is $126,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Validator jobs? The most popular types of Data Validator jobs are:

Data Engineer

1 point system

Rock Hill, SC • Remote

$117K - $140K/yr

Contractor

Posted 2 days ago


Job description

Requirement - Data Engineer

Location- USA Remote

Contract W2

Assessment test required

Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J)

** Healthcare experience

** Medical & Pharmacy Claims experience

Responsibilities:

Create, maintain and execute complex SQL queries for data management and data validation.

Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.

Monitor data workflows and ensure data quality, consistency, and reliability.

Design and implement scalable and secure data architectures to support new and existing applications.

Perform production solutions and services configurations as needed.

Serve as a change agent to identify organizational improvements and make recommendations to improve business processes.

Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.

Create and maintain SOP documents.

Participate in code reviews, sprint planning, and architectural discussions.

Mentor junior engineers and promote best practices in data engineering.

Participate in meetings with clients and/or stakeholders.

Completes work as assigned.

Provide after-hours or weekend support as needed.

Demonstrate an ability to work independently.

Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

Complete task assignments using department ticketing/productivity systems within assigned deadline.

Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.

8+ years of experience in data engineering or a related role.

8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.

8+ years hands-on work in SQL and/or PL/SQL.

Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high‑volume, low‑latency workloads.

Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred.

Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.

Flexible work schedule.

Experience with project management tools like JIRA.

Strong understanding of agile development practices, preferably SAFe.

Strong analytical skills.

Excellent verbal, listening and written communication skills.