A logo

QA Automation Engineer Enterprise Data & Analytics Platform

Artech LLCHyattsville, MD

$30 - $35 / hour

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Remote
On-site
Compensation
$30-$35/hour

Job Description

Request ID: 26-22229• Title: Sr. QA Automation Engineer Enterprise Data & AI• Locations: East Adelphi, MD 20783 (Hybrid 1-2 days a week)• Duration: 12 Months with Possible extension• Rate Range: $30-35/Hour on W2 without Benefits

Role Summary:We are seeking a QA Automation Engineer / SDET to support quality engineering for our Enterprise Data Platform. This role will focus on validating data pipelines and extending existing data quality frameworks within Databricks, ensuring data accuracy, quality, completeness, and reliability across the data lifecycle. This role will play a key part in implementing, enhancing, and executing data validation and data quality checks across the medallion architecture.Key Responsibilities:
  • Execute and extend existing automated tests within Databricks using PySpark, Python, SQL, and notebooks to validate data pipelines
  • Perform data reconciliation between source systems and target datasets
  • Validate ingestion processes including batch and incremental loads
  • Test transformations, joins, aggregations, and business rules for accuracy
  • Extend and enhance existing data quality frameworks and rule sets
  • Implement validation checks for data completeness, accuracy, consistency, and quality.
  • Validate thresholds, alerts, and exception handling mechanisms
  • Support tracking of data quality metrics and trends
  • Develop and maintain reusable and scalable test scripts aligned with existing frameworks
  • Integrate and execute tests within CI/CD pipelines (e.g., Azure DevOps)
  • Support testing activities across environments (QA, Staging)
  • Ensure consistent and reliable execution of automated tests
  • Partner closely with Data Engineers and Data Quality Engineers to identify, troubleshoot, and resolve data issues
  • Participate in Agile ceremonies and contribute to sprint deliverables
  • Support defect triage, root cause analysis, and retesting
  • Ensure data accuracy and consistency for downstream consumption and business reporting in data visualization tools such as Tableau.
Required Skills & Expertise:
  • 5+ years of experience in data validation, QA engineering, or SDET roles
  • Hands-on experience with creating Databricks notebooks and data pipeline validation
  • Strong proficiency in PySpark, Python, SQL, and Databricks notebooks
  • Experience working with and extending existing data validation or data quality frameworks
  • Strong experience in data reconciliation and large-scale data validation
  • Experience executing tests within CI/CD pipelines (e.g., Azure DevOps)
  • Strong analytical and problem-solving skills
  • Experience with tools such as Azure Purview and Profisee MDM is preferred.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About QA Automation Engineer Enterprise Data & Analytics Platform Jobs at Artech LLC

What is the work location for this position at Artech LLC?
This job at Artech LLC is located in Hyattsville, MD, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Artech LLC?
Candidates can expect a pay range of $30–$35 per hour for this role.
What employment applies to this position at Artech LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Artech LLC?
You can apply for this role at Artech LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.