Onsite Data Engineering Lead & PM for Research Center

Estrada Consulting, Inc.; Clearfield (UT); On-site; USD 90,000 - 124,000; Full time

Job summary

Estrada Consulting, Inc. is seeking a hands-on Data Engineering Project Manager and Technical Lead to run a six-month onsite engagement at a university research center in Clearfield, Utah.

You will plan work with the center staff, set priorities against the data dictionary, and lead weekly partner meetings while doing real engineering on pipelines and the data model. This role requires 3+ years of data engineering and proven project leadership as well as cloud experience (Azure, AWS or GCP).

Qualifications

• 3+ years of data engineering experience.
• Experience leading technical projects with client engagement.
• Experience with data ingestion, pipelines, modeling and monitoring.
• Cloud experience with Azure, AWS or GCP (IaaS and PaaS).
• Data security and permissions management experience.
• U.S. citizen able to work onsite in Clearfield, Utah, full time.

Responsibilities

• Plan and track the work: high-priority data sources in the first three months, then the remaining sources.
• Lead weekly partner meetings, report progress and risks, and get deliverables reviewed and accepted.
• Work with researchers and staff to design extraction for each machine and refine existing extraction scripts.
• Set the technical direction for staging, the production data model, orchestration and alerting on Databricks.
• Own security and permissions in the Azure Government environment.
• Train and mentor student interns, and lead the handover: training sessions, recordings and documentation.

Skills

Data engineering

Project leadership

Data ingestion

Data pipelines

Data modeling

Monitoring

Cloud platforms (Azure/AWS/GCP)

Data security & permissions

Onsite work (Clearfield, US)

Job description

Estrada Consulting, Inc. is seeking a hands-on Data Engineering Project Manager and Technical Lead to run a six-month onsite engagement at a university research center in Clearfield, Utah.

You will plan work with the center staff, set priorities against the data dictionary, and lead weekly partner meetings while doing real engineering on pipelines and the data model. This role requires 3+ years of data engineering and proven project leadership as well as cloud experience (Azure, AWS or GCP).