Data Engineer

🕒 October 6

🇺🇸 United States – Remote

💵 $142k - $158k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Latitude IT Solutions | SDVOSB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤝 B2B

💼 Consulting

🏛️ Government

B2B • Consulting • Government

Latitude IT Solutions | SDVOSB is an SBA-certified Service-Disabled Veteran-Owned Small Business that provides user-centric, mission-driven IT solutions designed to accelerate business processes and enhance operational efficiency. The company emphasizes next-generation capabilities, flexible and extensible architectures for integration and expansion, and leverages modern technologies and methodologies to deliver innovative, mission-focused solutions — commonly targeted at organizational and government customers.

📋 Description

• Build, maintain, and optimize batch and streaming data pipelines on Google Cloud that support analytics and machine learning. • Ingest data from APIs, databases, SaaS systems, streaming feeds, and files, then transform it and deliver curated datasets in BigQuery. • Build data quality rules, schema validation, and automated tests into pipelines, and monitor pipeline health with Cloud Monitoring and Cloud Logging. • Apply governance and security standards, including IAM, encryption, data masking, and auditing, and maintain pipeline infrastructure with Terraform and CI/CD. • Provide technical direction on data engineering standards, lead code reviews, and document datasets, transformations, and operating procedures. • Work with data architects, data scientists, ML engineers, and application teams on data engineering for a federal health customer.

🎯 Requirements

• 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, including building production data pipelines on a cloud platform. • 3+ years leading technical teams, including setting technical standards and processes for cloud and on-premises environments and guiding technology decisions. • Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub. • Strong SQL and Python, with experience in 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). • Applicants need to be a US Citizen to be considered for the position and have physically resided in the United States for a minimum of 3 years due to background investigation requirements.

🏖️ Benefits

• Medical, Vision, Dental • Paid Vacation & Sick Time • Paid Federal Holidays • 401k Retirement Plan with 100% Company Matching • Employer Paid Life Insurance • Continued Education Assistance • Employee Assistance Program (EAP) • Commuter Benefits Program • Health Savings Account (HSA)