🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Techstra Solutions • Pittsburgh, Pennsylvania, United States
Role & seniority: Lead Data Testing Engineer (5–10 years in data testing/QA; senior individual contributor leading validation efforts)
Stack/tools: Hadoop ecosystem (Hive, HDFS, Spark, etc.), Kafka or similar streaming, batch ETL/ELT pipelines, relational/analytic databases, SQL (advanced), test automation frameworks, Python/Java/Scala or similar
Design, develop, and execute data validation/testing strategies for large-scale financial datasets (>5M records)
Validate batch and streaming data pipelines (Kafka, ETL/ELT, Hadoop-based platforms) and end-to-end data flows
Build/maintain automated data testing frameworks (regression, reconciliation, anomaly detection) and define data quality standards
5–10 years in data testing/QA or analytics QA, strong financial services domain (lending/credit/risk)
Experience testing high-volume datasets and data pipelines
Proficient in Hadoop (Hive, HDFS, Spark), Kafka, SQL (advanced), and scripting (Python/Java/Scala); data modeling, warehousing, and lineage concepts
Agile/Scrum experience; excellent analytical, problem-solving, and communication skills
Lending product knowledge; data governance, regulatory/compliance documentation
Experience with data quality standards, monitoring tools, and modern testing technologies
Location & work type: Pittsburgh, PA; On-Site, 5 days per week
Role Overview The Lead Data Testing Engineer supports large-scale financial data platforms that power lending and credit operations. This role focuses on validating high-volume batches and streaming data pipelines, ensuring data accuracy, integrity, and regulatory compliance across Hadoop-based ecosystems and Kafka-driven real-time data flows. The ideal candidate brings deep expertise in data validation, automation, Agile delivery, and a strong passion for driving quality and innovation within the financial services platform. Key Responsibilities Design, develop, and execute data validation and testing strategies for large-scale financial datasets exceeding 5M+ customer records Validate batch and streaming data pipelines, including Kafka, ETL/ELT processes, and Hadoop-based platforms spanning multiple technologies Perform end-to-end testing of lending and credit data flows from source systems through downstream analytics and reporting layers Build and maintain automated data testing frameworks for regression, reconciliation, and anomaly detection Develop SQL-based and programmatic test scripts to validate data completeness, accuracy, timeliness, and data lineage Partner with data engineers, developers, and business stakeholders to define data quality standards and acceptance criteria Identify root causes of data defects and collaborate with teams on remediation strategies Support regulatory, audit, and compliance requirements through strong data governance and documentation practices Actively participate in Agile ceremonies, sprint planning, and continuous improvement initiatives Champion innovation by introducing modern testing tools, automation practices, and monitoring solutions Required Qualifications 5–10 years of experience in data testing, data quality, or analytics QA roles Strong experience within financial services, preferably lending, credit, or risk platforms Proven experience testing high-volume datasets (5M+ records)
Locations: Pittsburgh, PA
Work Model: On-Site 5 Days Per Week
About Techstra Solutions Techstra Solutions helps leading organizations unlock the value of Digital and Talent Transformation. We combine business strategy, technology, and talent to guide clients through complex transformation journeys—from strategy through execution. We deliver our expertise through consulting, innovative staffing solutions, and software development, always focused on measurable outcomes and long-term impact.