Data Engineer

Latitude IT Solutions | SDVOSB; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, Vision, Dental

401k with company matching

Paid vacation & sick time

Paid federal holidays

Continued education assistance

EAP

Job summary

Latitude IT Solutions | SDVOSB is hiring a Data Engineer to build and run data pipelines on Google Cloud Platform for a federal health client. You will ingest, transform, and deliver curated datasets in BigQuery, collaborating with data architects, scientists, ML engineers, and application teams on a fully remote US team.

Requirements include a Bachelor's in a technical field and 3+ years building production data pipelines on cloud platforms, plus hands-on BigQuery, Dataflow, Dataproc, and

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field.
• 3+ years of hands-on data engineering on a cloud platform with production pipelines.
• 3+ years leading technical teams and setting standards for cloud/on-premises environments.
• Hands-on with BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub.
• Strong SQL and Python; experience with distributed data processing and data modeling.
• Experience transforming large datasets into ML-ready datasets.
• Ability to obtain 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; deliver curated datasets in BigQuery.
• Create data quality rules, schema validation, and automated tests; monitor pipelines with Cloud Monitoring/Logging.
• Enforce governance and security standards (IAM, encryption, masking, auditing); maintain infra with Terraform and CI/CD.
• Provide technical direction, lead code reviews, and document datasets and procedures.

Skills

SQL

Python

GCP

Education

Bachelor's degree in CS/Engineering/IS

Master's degree (preferred)

Tools

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Vertex AI

Cloud Composer (Airflow)

dbt

Dataplex

Datastream

Kafka

Job description

Who we are...

Latitude is a growing Service-Disabled Veteran Owned (SDVOSB) Company within the Federal Sector. We have experience in working with various federal clients across multiple different agencies. We believe in adopting and growing a remote work-from-home culture wherever possible to ensure a healthy work-to-life balance. We believe in automating the mundane and investing in our employees helping them grow their careers over time. We strive for innovation and want to develop solutions that we can take pride in and help break through some of the barriers that exist in technology and the government sectors today.

We are hiring a Data Engineer to build and run the data pipelines behind analytics and machine learning work on Google Cloud Platform for a federal health customer. You will work with data architects, data scientists, ML engineers, and application teams to ingest, transform, and deliver curated datasets in BigQuery. The role sits on a cloud operations and migration team and includes technical leadership on data engineering standards and practices. This position is fully remote in the United States.

What You Will Do...

• 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

Minimum 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, 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)

Preferred Qualifications...

• Master's degree in a technical discipline
• Experience supporting federal government programs, especially federal health
• Knowledge of regulated environments: FedRAMP, HIPAA, NIST 800-53, CIS benchmarks
• Experience with Vertex AI or other ML platforms, and with feature store concepts
• Experience with Cloud Composer (Airflow), dbt, Dataplex, and Datastream for change data capture
• Experience with Apache Kafka or other streaming technologies, and with Looker or Looker Studio
• Security certification such as CISSP or CCSP

Clearance...

• Applicants selected will be subject to a Security Investigation and May need to Meet Requirements for Access to Protected and/or Classified Information

Citizenship...

• 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

Employee 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)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The posted range is base annual salary, placement within the range depends on qualifications, relevant experience, and contract requirements.