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.
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.
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.
- 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)
Skills Required
- 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 production cloud data pipelines
- 3+ years leading technical teams and setting technical standards and processes
- Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub
- Strong SQL and Python skills, including 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 or Public Trust
- U.S. citizenship
- Physical residence in the United States for at least three years
- Master's degree in a technical discipline
- Experience supporting federal government programs, especially federal health programs
- Knowledge of FedRAMP, HIPAA, NIST 800-53, and CIS benchmarks
- Experience with Vertex AI, ML platforms, and feature store concepts
- Experience with Cloud Composer, Airflow, dbt, Dataplex, and Datastream
- Experience with Apache Kafka or other streaming technologies
- Experience with Looker or Looker Studio
- CISSP or CCSP security certification
What We Do
Latitude is an AI-native gaming studio creating games centered on player freedom, self-expression, and interactive narrative. Its flagship product, AI Dungeon, uses large language models to enable open-ended game creation and has reached millions of players and tens of thousands of creators. Founded in 2019, the company develops AI-powered entertainment experiences, including AI Dungeon and its newer Voyage product for broad audiences.
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