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Data Engineer Quality Engineer
Job Location:
Job Location:
Dallas, IA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (12 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of this quickly changing economic landscape virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps our staffing experts can help you find the best job for you.
Role: Data Engineer Quality Engineer
Location: Dallas TX
Duration: 6 months
Required Skills: Data Engineer
Job Description:
We are seeking a Data Engineer Quality Engineer to ensure the reliability accuracy performance and scalability of our data platforms and pipelines. This role focuses on validating end-to-end data ingestion processing streaming and analytics workflows built on AWS Kafka SQL Data Bricks and Python.
You will work closely with Data Engineers Platform Engineers Analytics teams and DevOps to embed quality into the data lifecycleensuring trusted data resilient pipelines and production-ready systems.
Key Responsibilities
Validate batch and streaming data pipelines for correctness completeness consistency and timeliness.
Create and maintain data quality checks (nulls duplicates schema drift referential integrity).
Verify business rules and transformations using 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 between source and downstream systems.
Test ETL/ELT pipelines built using AWS services (Glue Lambda EMR Step Functions).
Validate transformations written in SQL and Python.
Ensure correctness across data ingestion enrichment aggregation and publishing layers.
Test reprocessing backfills and historical data loads.
Validate ETL/ELT processes built using Apache Spark (PySpark/Scala) in Databricks
Validate Kafka-based streaming pipelines for data integrity ordering and exactly-once/at-least-once semantics.
Test producer and consumer logic serialization formats (Avro JSON Protobuf).
Validate topic configurations partitions offsets retention policies and schema changes.
Simulate and test late arrivals duplicate events and consumer failures.
Test data workflows using AWS S3 Glue Lambda Redshift Athena Kinesis DynamoDB or similar services.
Validate IAM roles permissions and secure data access.
Verify data lifecycle policies encryption and storage optimizations.
Build and maintain automated data testing frameworks using Python.
Develop reusable test utilities fixtures and synthetic datasets.
Integrate data tests into CI/CD pipelines for pre-merge scheduled and post-deployment validation.
Enable automated alerts for data quality failures.
Validate pipeline performance for large-scale datasets.
Test throughput latency and concurrency under peak workloads.
Validate retry logic error handling idempotency and recovery mechanisms.
Perform soak regression and failover testing
Validate data pipeline metrics logs and alerts using CloudWatch Prometheus Grafana or equivalent tools.
Partner with teams to define data SLAs and SLOs.
Participate in incident response root-cause analysis and postmortems related to data quality issues
Required Qualifications
7 years of experience in QA SDET or Data Quality Engineering roles.
Strong hands-on experience with SQL for complex data validation and analysis.
Proficiency in Python for test automation and data validation.
Experience testing data pipelines and ETL/ELT workflows.
Hands-on experience with Kafka or other streaming platforms.
Solid understanding of AWS data services (S3 Glue Redshift Lambda Athena etc.).
Experience working with large datasets and distributed systems.
Strong debugging analytical and problem-solving skills.
Skills:
Need a consultant with 10 years of over all experience
Need a strong Data Engg with Data Bricks exp
Excellent comm skills are must
Must be willing to face in person interview
Must be able to work 3-4 days from office in Dallas
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at
Role: Data Engineer Quality Engineer
Location: Dallas TX
Duration: 6 months
Required Skills: Data Engineer
Job Description:
We are seeking a Data Engineer Quality Engineer to ensure the reliability accuracy performance and scalability of our data platforms and pipelines. This role focuses on validating end-to-end data ingestion processing streaming and analytics workflows built on AWS Kafka SQL Data Bricks and Python.
You will work closely with Data Engineers Platform Engineers Analytics teams and DevOps to embed quality into the data lifecycleensuring trusted data resilient pipelines and production-ready systems.
Key Responsibilities
Validate batch and streaming data pipelines for correctness completeness consistency and timeliness.
Create and maintain data quality checks (nulls duplicates schema drift referential integrity).
Verify business rules and transformations using 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 between source and downstream systems.
Test ETL/ELT pipelines built using AWS services (Glue Lambda EMR Step Functions).
Validate transformations written in SQL and Python.
Ensure correctness across data ingestion enrichment aggregation and publishing layers.
Test reprocessing backfills and historical data loads.
Validate ETL/ELT processes built using Apache Spark (PySpark/Scala) in Databricks
Validate Kafka-based streaming pipelines for data integrity ordering and exactly-once/at-least-once semantics.
Test producer and consumer logic serialization formats (Avro JSON Protobuf).
Validate topic configurations partitions offsets retention policies and schema changes.
Simulate and test late arrivals duplicate events and consumer failures.
Test data workflows using AWS S3 Glue Lambda Redshift Athena Kinesis DynamoDB or similar services.
Validate IAM roles permissions and secure data access.
Verify data lifecycle policies encryption and storage optimizations.
Build and maintain automated data testing frameworks using Python.
Develop reusable test utilities fixtures and synthetic datasets.
Integrate data tests into CI/CD pipelines for pre-merge scheduled and post-deployment validation.
Enable automated alerts for data quality failures.
Validate pipeline performance for large-scale datasets.
Test throughput latency and concurrency under peak workloads.
Validate retry logic error handling idempotency and recovery mechanisms.
Perform soak regression and failover testing
Validate data pipeline metrics logs and alerts using CloudWatch Prometheus Grafana or equivalent tools.
Partner with teams to define data SLAs and SLOs.
Participate in incident response root-cause analysis and postmortems related to data quality issues
Required Qualifications
7 years of experience in QA SDET or Data Quality Engineering roles.
Strong hands-on experience with SQL for complex data validation and analysis.
Proficiency in Python for test automation and data validation.
Experience testing data pipelines and ETL/ELT workflows.
Hands-on experience with Kafka or other streaming platforms.
Solid understanding of AWS data services (S3 Glue Redshift Lambda Athena etc.).
Experience working with large datasets and distributed systems.
Strong debugging analytical and problem-solving skills.
Skills:
Need a consultant with 10 years of over all experience
Need a strong Data Engg with Data Bricks exp
Excellent comm skills are must
Must be willing to face in person interview
Must be able to work 3-4 days from office in Dallas
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at
Required Experience:
IC
