Sr. Data Quality Analyst jobs in United States
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Bayforce · 5 hours ago

Sr. Data Quality Analyst

Bayforce is seeking a Senior Data Quality Analyst who will be responsible for building automation-first controls, monitoring, and remediation at scale. The role involves designing and operationalizing data quality validation pipelines and integrating with observability platforms.

Information TechnologyMarketing
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Comp. & Benefits
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H1B Sponsor Likelynote
Hiring Manager
Liza Dela Cruz
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Responsibilities

Engineer automated data quality pipelines that detect, diagnose, and remediate data defects; design for scalability, idempotency, and observability
Use Python/SQL for data profiling, rule evaluation, schema validation, anomaly detection, and automated exception workflows
Implement API-driven integrations (REST/GraphQL/SDKs) with DQ, catalog, ticketing, notification, and orchestration systems; handle OAuth2, pagination, rate limits, retries, and backoff
Define and maintain DQ rule libraries and validation frameworks as reusable, versioned assets; enforce code quality via unit tests, linting, and static analysis
Embed automated controls into ETL/ELT and data integration jobs; implement pre/post load validations, row/column level checks, and SLA/SLO monitoring
Build event driven alerts and webhook workflows to route exceptions to the right queues (e.g., Jira/ServiceNow), with metadata for reproducibility and audit
Develop KPI dashboards and operations apps using Power BI and Power Apps to visualize coverage, drift, and rule performance, and to streamline triage/remediation
Conduct root cause analysis using lineage, logs, and metrics; implement automated remediation where feasible (e.g., rollback, quarantine, replay)
Contribute to CI/CD workflows (GitLab or equivalent) for DQ assets: automated tests, environment promotion, secrets management, and change controls
Author and maintain runbooks, design docs, and operational playbooks; mentor analysts on scripting, APIs, and engineering best practices
Uphold risk, regulatory, and internal control requirements; ensure auditability and traceability throughout DQ processes
Perform other duties as assigned

Qualification

PythonSQLAPI engineeringData Quality frameworksPower BIPower AppsETL/ELT validationCloud experienceCI/CD in GitLabCommunicationCollaboration skills

Required

Bachelor's degree and a minimum of 5 years related experience; or in lieu of a degree, a combined minimum of 9 years higher education and/or work experience, including a minimum of 5 years related experience
Advanced proficiency in Python and SQL for automation, including building reusable libraries, scheduled jobs, and validation pipelines
API engineering experience: designing and consuming REST/GraphQL APIs, handling auth (OAuth2/Bearer), pagination, rate limits, error handling/retries, and webhooks for event-driven processes
Experience building solutions with Power BI and Power Apps for operational reporting and workflow automation
Demonstrated success collaborating across engineering, governance, and business teams in fast paced environments
Experience with automated ETL/ELT validation and data integration platforms; familiarity with pre/post load checks, data contracts, and schema enforcement
Proficiency with DQ/observability platforms (e.g., Informatica Cloud DQ, Monte Carlo, Anomalo, Collibra OwlDQ) and their SDKs/APIs
Hands on data profiling, rule design, and automated measurement of DQ dimensions (completeness, validity, accuracy, timeliness, uniqueness, consistency)
Implemented governance aligned DQ frameworks (standards, metadata contracts, lineage, policy as code)
Experience with workflow/automation tools (Power Apps, Alteryx, or equivalent) and messaging/queueing for event driven triage
Cloud experience (Azure, Snowflake): scripting with providers/SDKs, secrets management, job orchestration, and cost aware design
CI/CD in GitLab (or similar): pipeline design, automated testing, code scanning, environment promotion, and approvals
Exposure to AI/ML based anomaly detection or statistical monitoring; ability to integrate model outputs via APIs
Excellent communication skills—able to explain engineering decisions and automation tradeoffs to non technical stakeholders
Proven ability to manage multiple concurrent automation initiatives and deliver high quality solutions on schedule

Preferred

Preferred Location: Wilmington, DE or Buffalo, NY. Hybrid, 4-days onsite work

Company

Bayforce

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Bayforce is an information technology company that provides ERP, CRM, and cloud solutions.

H1B Sponsorship

Bayforce has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)

Funding

Current Stage
Growth Stage
Company data provided by crunchbase