ETL Manager

Eightelevengroup; Greenwood Village (CO); Hybrid; USD 82,656 - 96,432; Full time

Job summary

Eightelevengroup in Greenwood Village, CO is seeking an ETL Manager to support ETL developers, govern data pipelines, and bridge technical leadership with people management. Initially an individual contributor, you will lead a near‑shore team of 5–6 engineers and coordinate with onshore Tableau/Insights groups.

The role features a hybrid schedule (4 onsite days, 1 remote), exposure to large‑scale data environments, and initiatives like merger integration, AI automation, VR datasets, and data

Qualifications

• Strong SQL/HQL performance tuning and optimization.
• Experience guiding ETL design and production pipelines.
• Ability to manage and mentor a near‑shore team (5–6 engineers).
• Willingness to work onsite in Greenwood Village, CO (4 days) and collaborate with onshore teams.

Responsibilities

• Support ETL developers in translating business requirements into scalable data architectures and ETL flows.
• Review and guide technical design decisions (HQL, SQL, Bash, cloud environments).
• Oversee day‑to‑day operations of 300–400+ ETL jobs for reliable data pipelines.
• Provide clear, direct communication to engineers and stakeholders.
• Lead near‑shore ETL team (Mexico) after ramp‑up and coordinate with Tableau front‑end teams.

Skills

SQL/HQL

ETL workflows

Bash scripting

Leadership

Cloud AWS

Communication

Job description

ETL Manager
Greenwood Village, CO (4 days onsite, 1 day remote)
Hybrid Role
$60 - $70 per hour
Long-term ongoing contract with potential for conversion

ABOUT THE ROLE

Our client’s Video Insights organization is seeking an ETL Manager to join their high-priority data group in Greenwood Village, CO. This role begins as an individual contributor, providing support to ETL developers and learning the environment, technology stack, and development patterns. Within a few months, you will transition to managing a near‑shore development team (5–6 engineers) and provide temporary onshore leadership coverage. You will play a key role in bridging technical leadership and people management, collaborating with both back‑end ETL and front‑end Tableau/Insights teams. The position offers exposure to large‑scale data environments, innovative projects such as merger integration, AI automation, VR datasets, and data monetization, and the opportunity to lead within a dynamic, growth‑focused organization.

WHAT YOU'LL DO

• Support ETL developers in converting business requirements into scalable data architecture and ETL flows
• Review and guide technical design decisions (HQL, SQL, Bash, cloud environments)
• Troubleshoot blockers, propose alternative solutions, and ensure efficient delivery of data pipelines
• Oversee day‑to‑day operations of 300–400+ ETL jobs, ensuring data pipeline reliability
• Provide clear, direct communication and actionable feedback to engineers
• Lead and manage a near‑shore ETL team (located in Mexico, Central Time Zone) after ramp‑up
• Collaborate with onshore teams and partner with front‑end reporting teams (e.g., Tableau)
• Contribute to initiatives such as merger integration, AI‑driven efficiencies, onboarding new datasets (e.g., VR device data), and data monetization projects
• Work closely with back‑end ETL and near‑shore engineers, as well as front‑end Tableau/Insights teams

WHAT YOU BRING

• Strong proficiency in SQL / HQL (reviewing, rewriting, and optimizing queries)
• Experience with ETL flows, data architecture, and production pipelines
• Comfort with Bash or similar scripting languages
• Prior leadership experience (team lead, mentoring, or early‑stage manager)
• Ability to have direct, constructive conversations and hold teams accountable
• Ability to work onsite in Denver 4 days per week (non‑negotiable)
• Curiosity and eagerness to master cloud‑based data environments (AWS)
• Excellent communication skills and authenticity in leading people

WHAT'S IN IT FOR YOU

• Lead a growing near‑shore ETL team within one of the client’s highest‑priority data groups
• Opportunity to bridge technical leadership and people management
• Exposure to large‑scale data environments—millions of customers, massive data volumes
• Involvement in innovative initiatives: merger integration, AI automation, VR datasets, and data monetization projects