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[Remote] Data Operations Engineer - Minneapolis, MN

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Datasite is a global center for facilitating economic value creation for companies, and they are seeking a Data Operations Engineer. This role involves owning the full lifecycle of partner data, ensuring data integrity and reliability while collaborating with various teams to enhance data workflows and solutions.

Responsibilities

  • Guide data architecture decisions that incorporate AI-augmented capabilities into ingestion, transformation, and reconciliation workflows for partner integrations
  • Partner with Product, Engineering, and partner teams to develop flexible data roadmaps aligned to Datasite strategy while adapting to fast-evolving partner data needs
  • Drive pipeline improvements that scale across diverse partner data formats, reduce operational overhead, and improve reliability of SLA-bound data products
  • Maintain adaptable data contracts and schema strategies, enabling rapid onboarding of new partners in uncertain, high-velocity environments
  • Identify and drive cross-platform improvements (schema registries, validation tooling, data contracts, lineage tracking) that enhance partner and developer experiences
  • Collaborate across Engineering, Product, and partner teams to deliver AI-first, integration-ready data solutions
  • Communicate complex data concepts clearly, translating pipeline design trade-offs and SLA commitments for diverse stakeholders
  • Provide technical guidance that ensures alignment, simplicity, and consistency across data flows and partner integrations
  • Evaluate trade-offs across freshness, accuracy, latency, and cost, especially in partner-driven and AI-augmented data workflows
  • Simplify pipelines and drive down data debt while supporting rapid experimentation and onboarding of new partners
  • Own ambiguous data challenges — mismatched schemas, silent failures, partial loads, reconciliation gaps — and drive them to resolution
  • Apply strong diagnostics to identify root causes of data discrepancies and deliver resilient, auditable solutions
  • Mentor engineers and analytics contributors through coaching and feedback, including adoption of modern and AI-augmented data practices
  • Support team growth by promoting continuous learning, experimentation, and adaptability in data engineering methods
  • Foster a culture of psychological safety, collaboration, and shared ownership of data quality
  • Help raise the bar in hiring, ensuring alignment with Datasite's technical and cultural expectations
  • Own end-to-end design and delivery of ingestion pipelines, transformation layers, reconciliation processes, and partner-facing data products
  • Build pipelines with strong observability, alerting, and self-healing characteristics — so issues are identified and, where possible, remediated before they become partner-visible
  • Track progress, manage risk, and adapt plans while maintaining a bias for action and high-quality execution
  • Ensure new partnerships are delivered with care, reliability, and ingenuity, balancing speed with long-term data integrity

Skills

  • 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 modern data tooling such as 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
  • Proven success leading work in ambiguous, fast-moving environments
  • Excellent collaboration, communication, and cross-team influence

Benefits

  • Bonuses, commissions, or overtime if applicable
  • Health insurance (medical, dental, vision)
  • A retirement savings plan
  • Paid time off
  • Other employee benefits

Company Overview

  • Datasite is a global SaaS provider of AI-powered workflow collaboration and automation solutions for M&A, investment and strategic projects. It was founded in 1968, and is headquartered in Minneapolis, Minnesota, USA, with a workforce of 1001-5000 employees. Its website is https://www.datasite.com/.
  • Company H1B Sponsorship

  • Datasite has a track record of offering H1B sponsorships, with 2 in 2026, 3 in 2025, 6 in 2024, 6 in 2023, 6 in 2022, 6 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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