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Home Based Data Validator Jobs in Texas (NOW HIRING)

Data Quality Engineer

Dallas, TX · On-site

$62 - $65/hr

Build SQL-based validations for business rules and transformations * Implement reconciliation ... Experience with CI/CD tools such as GitHub Actions or Jenkins Flexible work from home options ...

Support data validation efforts Knowledge and Experience * Experience with interactive ... Experience with Python and Python-based data analysis and manipulation packages Desired Skills and ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This role plays a key part in supporting the organization's transition to modern cloud-based data ... Implement data quality checks, validation rules, logging, error handling, and monitoring within ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This role plays a key part in supporting the organization's transition to modern cloud-based data ... Implement data quality checks, validation rules, logging, error handling, and monitoring within ...

HOME BASED PHYSICAL THERAPIST

San Angelo, TX · On-site

$1.6K - $2.1K/wk

Job Summary The OP Home-Based Physical Therapist is responsible for providing a full range of ... Valid Texas Driver's License * Auto Liability Insurance * Basic Life Support (BLS) Certification

HOME BASED PHYSICAL THERAPIST

San Angelo, TX · On-site +1

$1.6K - $2.1K/wk

Job Summary The OP Home-Based Physical Therapist is responsible for providing a full range of ... Valid Texas Driver's License * Auto Liability Insurance * Basic Life Support (BLS) Certification

Data Engineer Quality Engineer

Dallas, TX · On-site

$113K - $136K/yr

... SQL-based validations. • Design, develop, and execute test strategies for Databricks-based data pipelines and analytics workflows • Establish data reconciliation and end-to-end traceability ...

... validations, and monitoring • Design processes for backfills, reprocessing, and failure recovery • Operate and optimize GCP-based data services, including BigQuery, Cloud Storage, Pub/Sub, and ...

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Home Based Data Validator information

What are the most commonly searched types of Data Validator jobs in Texas? The most popular types of Data Validator jobs in Texas are:
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What cities in Texas are hiring for Home Based Data Validator jobs? Cities in Texas with the most Home Based Data Validator job openings:
Infographic showing various Home Based Data Validator job openings in Texas as of June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Quality Engineer

Select Minds LLC

Dallas, TX • On-site

$62 - $65/hr

Full-time

Re-posted 11 days ago


Job description

Benefits:
  • W2 OPPORTUNITY
  • Competitive salary
  • Opportunity for advancement

Job Title: Data Quality Engineer (Databricks, Kafka, AWS)
Location: Dallas, TX (Hybrid – 3 days onsite)
Job Type: Long-term Contract
Work Authorization: Open - W2 opportunity
Interview Process: In-person (Client interview- Mandatory)
We are looking for a Data Quality Engineer to own validation across batch and streaming data pipelines. This role focuses on ensuring data correctness, reliability, and performance across platforms built on Databricks, Kafka, AWS, SQL, and Python.
This is a hands-on role focused on building scalable data validation frameworks and ensuring production-grade data systems.
Key Responsibilities
End-to-End Data Validation
* Validate data pipelines for accuracy, completeness, consistency, and timeliness
* Build SQL-based validations for business rules and transformations
* Implement reconciliation between source and downstream systems
* Ensure data lineage and traceability
ETL / ELT & Spark Testing
* Test pipelines built on AWS (Glue, Lambda, EMR, Step Functions)
* Validate transformations using SQL and Python
* Test ingestion, transformation, aggregation, and serving layers
* Handle backfills, reprocessing, and historical data loads
* Validate Spark pipelines (PySpark/Scala) on Databricks
Streaming (Kafka)
* Validate data integrity, ordering, and delivery guarantees
* Test producer and consumer logic and serialization formats (Avro, JSON, Protobuf)
* Validate topics, partitions, offsets, retention, and schema evolution
* Simulate late events, duplicates, and failure scenarios
Automation & Frameworks
* Build Python-based data testing frameworks
* Develop reusable validation utilities and synthetic datasets
* Integrate data tests into CI/CD pipelines
* Enable automated alerts for data quality issues
Performance & Reliability
* Validate throughput, latency, and concurrency at scale
* Test retry logic, idempotency, and recovery mechanisms
* Perform regression, soak, and failover testing
Observability
* Validate logs, metrics, and alerts using tools such as CloudWatch, Prometheus, and Grafana
* Define and monitor data SLAs and SLOs
* Support incident response, root cause analysis, and postmortems
Required Qualifications & Experience
* 7+ years of total experience in QA, SDET, or Data Quality Engineering
* Minimum 4–6 years of hands-on experience working with data platforms, data pipelines, or data engineering ecosystems
* 3+ years of hands-on experience with Databricks and Apache Spark
* Strong SQL skills for data validation, reconciliation, and complex analysis
* Proficiency in Python for automation and data validation
* Experience testing ETL/ELT pipelines (batch and streaming)
* Hands-on experience with Kafka or similar streaming platforms
* Strong understanding of AWS data services (S3, Glue, Lambda, Redshift, Athena)
* Experience working with large-scale distributed data systems
* Strong debugging, analytical, and problem-solving skills
Nice to Have
* Experience with data quality or observability tools such as Great Expectations or Monte Carlo
* Knowledge of schema registry and data contracts
* Experience with CI/CD tools such as GitHub Actions or Jenkins

Flexible work from home options available.