Data Operations Engineer - Minneapolis, MN

Job Overview As a Data Operations Engineer at Datasite you own the full lifecycle of partner data as it moves through our systems—ingestion, transformation, validation and reconciliation—bringing the monitoring and SLA discipline that sophisticated partners expect. You balance partner trust, engineering velocity and long‑term data platform health while enabling intelligent, contract‑driven data exchange across our partner ecosystem. Responsibilities Design, build and maintain ingestion pipelines, transformation layers, reconciliation processes and partner‑facing data products using Snowflake, dbt, Airflow and schema registries. Implement monitoring, alerting, runbooks and self‑healing mechanisms to identify and remediate issues before they become partner‑visible. Translate pipeline design trade‑offs and SLA commitments for diverse stakeholders. Evaluate trade‑offs across freshness, accuracy, latency and cost, and simplify pipelines to reduce data debt. Own ambiguous data challenges—mismatched schemas, silent failures, partial loads, reconciliation gaps—applying strong diagnostics to root causes and deliver resilient, auditable solutions. Mentor engineers and analytics contributors, fostering continuous learning and hands‑on adoption of modern and AI‑augmented data practices. Collaborate with Product, Engineering and partner teams to drive cross‑platform improvements and influence data architecture decisions that incorporate AI‑augmented capabilities. Support hiring by setting technical and cultural expectations and ensuring alignment with Datasite’s values. Qualifications Strong experience designing and operating data pipelines with defined latency, freshness and accuracy SLAs. Expert SQL skills and proven ability to work with large, complex datasets across diverse partner schemas. Hands‑on experience with Snowflake, dbt, Airflow and schema registries. Practical, in‑the‑workflow use of agentic tooling to accelerate schema mapping, anomaly detection, data profiling and pipeline debugging. Track record of building monitoring, alerting, runbooks and reconciliation processes for systems with external commitments. Ability to ramp quickly on new partner ecosystems, data formats and domains. Excellent collaboration, communication and cross‑team influence skills. Experience leading work in ambiguous, fast‑moving environments. Benefits We offer competitive compensation, a hybrid work model with a minimum of two on‑site days per week, and a full suite of benefits including health (medical, dental, vision) insurance, a retirement savings plan, paid time off and other employee benefits. Base salary range: $99,000.00 – $172,700.00 Datasite reserves the right to modify this pay range at any time. Our company is committed to fostering a diverse and inclusive workforce. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status or any other protected characteristic. #J-18808-Ljbffr