[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Mindlance is a company seeking a Senior Data Engineer to ensure the accuracy and trustworthiness of data powering their products and operations. The role focuses on designing and implementing data quality checks, monitoring, and remediation processes while collaborating with various teams to improve data management practices.ResponsibilitiesDesign and implement automated data quality checks for completeness, accuracy, consistency, freshness, and schema integrity across critical datasets and pipelinesBuild monitoring, alerting, and observability solutions to detect anomalies, pipeline failures, data drift, and unexpected changes before they impact downstream consumersDevelop and maintain reconciliation processes across source systems, transformed datasets, reports, and operational outputsPartner with engineers and analysts to define quality rules, acceptance criteria, and data validation requirements for new and existing systemsCreate reusable frameworks, scripts, and tooling for profiling, testing, and validating data in production and non-production environmentsInvestigate data issues by tracing data across systems, transformations, and business workflows to identify root causes and recommend fixesUse SQL, Python, and cloud data tools to analyze large datasets, isolate anomalies, and validate business logicSupport incident response and issue resolution for data-related production problems, especially during high-priority operational periodsWork with cross-functional teams to remediate defects, improve upstream processes, and reduce recurrence of common data issuesCommunicate findings clearly to both technical and non-technical stakeholders, including issue summaries, remediation recommendations, and quality trendsDocument data definitions, validation logic, lineage, quality rules, and remediation procedures to improve transparency and operational readinessContribute to best practices for testing, version control, deployment, and ongoing maintenance of data quality solutionsParticipate in Agile ceremonies, code reviews, and team planning, helping break work into manageable tasks and improve team productivitySupport the development of standards for data governance, ownership, and operational excellence across the teamPartner with stakeholders to improve trust in shared data assets and ensure quality considerations are built into delivery from the startSkillsAWS - CloudFormationAWS - DynamoAWS - LambdaAWS - S3AWS - SNS/SQSAWS Step FunctionBI ToolGen AINode.js DevelopmentPythonRedShift/SQLBS degree in Engineering, Computer Science, or related field / equivalent experience10+ years of general experience in quality testingStrong SQL skills and experience writing complex queries to analyze, validate, and troubleshoot data across multiple systemsProfessional experience in data engineering, analytics engineering, data quality, software Engineering, or a related field with a strong focus on data investigation and validationExposure to AI-assisted development tools (e.g., GitHub Copilot, Claude) and hands-on experience applying to build and deploy AI agents that automate data pipelines, write code and testing workflowsExperience working with cloud data platforms and tools such as AWS, Redshift, Athena, Snowflake, Databricks, or similar technologiesProficiency in Python or type script language used for automation, testing, and data analysisExperience designing or maintaining data quality checks, monitoring, alerting, or observability processes for production datasets or pipelinesStrong understanding of data structures, data modeling, transformations, lineage, and common sources of data defectsAbility to investigate issues across systems, apply business logic, and translate ambiguous problems into structured analysis and actionExperience working with BI/reporting tools such as Tableau, QuickSight, or similar platforms is helpfulStrong communication, documentation, and collaboration skills, with the ability to work effectively across technical and non-technical teamsA learner's mindset, curiosity about emerging technologies and AI-enabled tools, and a drive to improve systems and processes continuouslyAbility to support high-priority operational periods and respond effectively to production data issues when neededStrong interpersonal and consultative skillsHighly self-motivated and directed, with keen attention to detailStrong leadership skills and customer satisfaction orientationCompany OverviewMindlance is a Staffing and Recruiting company which provides multi-vertical staffing services It was founded in 1999, and is headquartered in Union, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is http://www.mindlance.com.Company H1B SponsorshipMindlance has a track record of offering H1B sponsorships, with 10 in 2026, 71 in 2025, 53 in 2024, 37 in 2023, 72 in 2022, 36 in 2021, 40 in 2020. Please note that this does not guarantee sponsorship for this specific role.