Remote Data Engineer: Cloud Pipelines & ML-Ready Data

Latitude IT Solutions; United States; Remote; USD 142,000 - 158,000; Full time

Benefits offered by this job

Medical, Vision, Dental

Paid Vacation & Sick Time

Paid Federal Holidays

401k with 100% Company Matching

Employer Paid Life Insurance

Continued Education Assistance

Employee Assistance Program (EAP)

Commuter Benefits Program

Health Savings Account (HSA)

Job summary

Latitude IT Solutions is hiring a Data Engineer to build and run data pipelines for analytics and ML on Google Cloud Platform for a federal health customer. The role is fully remote in the United States and involves collaborating with data architects, scientists, and application teams to ingest, transform, and deliver curated datasets in BigQuery.

You will lead data engineering standards, review code, implement data quality rules, and apply governance with IAM, encryption, and auditing.

Qualifications

• Bachelor's degree in computer science, software engineering, information systems, data engineering, or a related technical field.
• 3+ years of hands-on data engineering experience with production data pipelines on a cloud platform.
• 3+ years leading technical teams, setting standards and processes for cloud/on-prem environments.
• Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub.
• Strong SQL and Python skills, experience with distributed data processing and data modeling.
• Experience transforming large datasets and delivering ML-ready datasets for model training.
• Ability to obtain and maintain a federal background investigation (Public Trust).

Responsibilities

• Build, maintain, and optimize batch and streaming data pipelines on Google Cloud.
• Ingest data from APIs, databases, SaaS, streaming feeds, and files, transforming and delivering curated datasets in BigQuery.
• Develop data quality rules, schema validation, and automated tests; monitor pipeline health with Cloud Monitoring and Cloud Logging.
• Apply governance and security standards, including IAM, encryption, data masking, and auditing; maintain infrastructure with Terraform and CI/CD.
• Provide technical direction on data engineering standards; lead code reviews; document datasets and procedures.

Skills

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Python

SQL

Looker Studio

Education

Bachelor's degree in CS/SE/IS/Data Engineering or related

Master's degree (preferred)

Tools

Google Cloud Platform

Terraform

CI/CD

Looker Studio

Job description

Latitude IT Solutions is hiring a Data Engineer to build and run data pipelines for analytics and ML on Google Cloud Platform for a federal health customer. The role is fully remote in the United States and involves collaborating with data architects, scientists, and application teams to ingest, transform, and deliver curated datasets in BigQuery.

You will lead data engineering standards, review code, implement data quality rules, and apply governance with IAM, encryption, and auditing.