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Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🦌 Connecticut, New Jersey, +1 more states – Remote

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💵 $144.6k - $192.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Endeavor

Endeavor

5001 - 10000 employees

Founded 1999

🏨 Hospitality

📣 Marketing

Hospitality • Marketing • Entertainment

Endeavor is a global sports and entertainment company that owns, represents, and produces premium sports and entertainment content. From its beginnings as a Hollywood talent agency, Endeavor has expanded into a diverse portfolio across the sports and entertainment ecosystem. The company specializes in talent representation through WME, sports operations and advisory through IMG, and experiences and hospitality through On Location. Endeavor is also involved in live event production, sports data and technology, and cultural marketing. It is the majority owner of TKO Group Holdings, which includes UFC and WWE, and owns organizations like PBR and Euroleague Basketball. Its comprehensive services span talent representation, sports operations, event management, media production, brand licensing, and more.

📋 Description

• Own pipelines, data models, and end-to-end platform reliability across Snowflake ingress and egress paths • Triage platform incidents, perform root cause analysis, and implement permanent fixes • Define and report pipeline service levels for freshness, job success rate, and recovery time • Provide debugging, triage, support, and design guidance to engineers and analysts • Participate in on-call and event-support rotations, including heightened coverage around major live events • Design and build shared platform components, including medallion layers, role and access taxonomy, ingestion libraries, and orchestration frameworks • Lead Snowflake consolidation, including replication, account merges, secure-share repointing, parity validation, and cutover • Retire duplicated legacy tooling including Airflow, notebook-driven ingestion, SSIS, and legacy CI/CD • Build golden paths, templates, reference implementations, and documentation for onboarding sources and shipping models • Maintain shared Python ingestion connectors and observability hooks • Operate managed Fivetran ingestion and make build-versus-buy decisions • Own Prefect on EKS, including deployments, work pools, worker health, containerized flows, and flow taxonomy • Administer Snowflake as a shared multi-tenant platform and manage performance, replication, secure sharing, and warehouse costs • Manage Snowflake objects declaratively in Terraform • Build and maintain AWS infrastructure with Terraform across EKS, networking, IAM, S3, Lambda, and secrets management • Maintain GitHub Actions CI/CD with AWS OIDC, promotion paths, review gates, dbt tests, and data quality checks • Build and review dbt models and consolidate macro libraries • Partner with Analytics Engineering and Data Science on governed semantic models, feature pipelines, and reporting datasets • Implement masking, tokenization, row-access policies, network policies, secrets rotation, and SSO-driven provisioning as code • Support cataloging, lineage, access reviews, audits, and security remediation • Prepare the platform for ML, AI, feature pipelines, and retrieval-ready datasets • Use AI-assisted engineering tools and help establish team practices • Mentor global delivery partners and engineers, review work against standards, and advise stakeholders and leadership on technical trade-offs

🎯 Requirements

• 7+ years building and operating production data platforms • At least 3 years focused on shared platform and infrastructure work • Deep hands-on Snowflake experience at administrator level, including RBAC, warehouse sizing and cost management, masking and row-access policies, replication, secure data sharing, and performance tuning • Strong Python and SQL skills • Production experience with Prefect, Airflow, or Dagster, including running and upgrading it on Kubernetes or comparable infrastructure • Hands-on Terraform on AWS, including EKS or ECS, IAM, VPC networking, S3, Lambda, and secrets management • dbt experience at scale, including project structure, macros, testing, and consolidating overlapping projects • CI/CD ownership for data systems, preferably GitHub Actions, including keyless OIDC authentication, multi-environment promotion, and automated quality gates • Experience with managed ingestion such as Fivetran, CDC, Snowpipe, and event or behavioral data platforms such as Amplitude or Segment • Operational discipline with observability tooling such as Datadog, alerting design, incident response, and post-incident follow-through • Demonstrated platform migration or consolidation experience, including parity validation and cutover planning • Experience setting standards adopted by other engineers through reusable frameworks, reference implementations, documentation, and code review • Comfortable working with offshore and partner delivery teams • Clear written communication, particularly design documents, runbooks, and incident write-ups • Practical data governance experience preferred, including PII classification, access controls, retention, and lineage • Exposure to ML or AI workloads preferred • Experience in media, sports, entertainment, live events, ticketing, or consumer and fan data environments preferred

🏖️ Benefits

• Short- and long-term incentives, as applicable • Growth and developmental opportunities • Health care • Retirement benefits • Vacation and other paid time off • Additional benefits and offerings • Reasonable accommodations for qualified individuals with disabilities

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