[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. iDENTIFY is a company focused on data engineering solutions, and they are seeking a Senior Data Engineer to lead client data work. This role involves designing and implementing data pipelines, ensuring quality and reliability, and contributing to reusable data solutions while supporting the team and clients effectively.ResponsibilitiesLeads design, implementation, and maintenance of data pipelines and ETL processes for client engagements. Owns the quality and reliability of what shipsDevelops data models and databases that support client reporting and analysis—designed to hold up as data volumes and use cases grow, not just meet the immediate askConducts in-depth discovery with clients to surface real data requirements—not just what's asked for, but what's actually needed—and translates that into clean technical specificationsManages multiple concurrent client workstreams without dropping quality. Prioritizes effectively and communicates proactively when timelines are at riskContinuously monitors data processes for quality, reliability, and performance. Flags and fixes problems as a matter of course—doesn't wait to be assigned a ticketImplements data quality checks and validation logic as a standard part of delivery, not an afterthoughtIdentifies performance bottlenecks and either resolves them directly or escalates with a clear diagnosis and proposed fixThinks about failure modes during design. Builds pipelines that are observable and recoverable, not just functionalActively contributes to iDENTIFY's library of reusable data accelerators—pipeline templates, transformation patterns, testing utilities. If you build something useful, it shouldn't live only in one client's projectSupports the code generator initiative by building ingestion logic that follows governance, traceability, and safety standardsIdentifies opportunities to standardize across clients and raises them with the Senior Data Architect or data team leadProvides technical guidance and troubleshooting support to other data engineers. When someone is stuck, you are a resourceDocuments what you build and what you learn. Lessons Learned entries are how the team avoids repeating expensive mistakesParticipates in code reviews as both author and reviewer. Feedback is specific, actionable, and respectfulSkills8+ years in data engineering with demonstrated end-to-end ownership of complex pipeline systems—not just contribution to themClient-facing or consulting experience strongly preferred. Translating client requirements into technical decisions—and explaining those decisions clearly—is a core part of this roleStrong proficiency in Python and SQL as primary tools. Pipeline development and scripting automation are daily activitiesSolid grounding in data modeling, database design, and warehousing. Normalization, indexing, and query optimization are applied instinctivelyHands-on experience with ETL tooling and pipeline frameworks. Familiarity with modern data stack components—orchestration, transformation, observability—is expectedFinancial services or regulated data environment experience is a meaningful advantage given iDENTIFY's client baseCompany OverviewWe guide Community Banks and Credit Unions to a unified data model in the cloud, providing stress-free compliance and actionable innovation! It was founded in 2015, and is headquartered in Tulsa, Oklahoma, USA, with a workforce of 11-50 employees. Its website is https://www.goidentify.com/.