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Senior Data Engineer (Remote)

VivSoft
Remote
Remote$160k–$180k· about 1 hour ago

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Senior Data Engineer

Job Title: Senior Data Engineer
Location: Remote
Position Type: Full-Time 
Clearance Required: Secret Clearance

About the company:
At VivSoft, we aim to solve complex federal problems using emerging and open technologies in a collaborative and rewarding environment. VivSoft is a diverse team of strategists, engineers, designers, and creators experienced in building high-performance, effective software, with a focus on impactful organisational design and software delivery dynamics. We build secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps. These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies


Job Summary:
We are seeking a Senior Data Engineer to support a United States Air Force (USAF) program responsible for building and operating a modern, scalable, and secure data platform. This role will lead the design and optimization of an enterprise lakehouse architecture on AWS, leveraging Apache Iceberg, Apache Spark, and cloud-native technologies to enable advanced analytics, AI/ML initiatives, and operational reporting. The ideal candidate will possess deep expertise in large-scale data platforms, distributed processing, data governance, and cloud infrastructure while providing technical leadership and mentoring across engineering teams.

Key Responsibilities:
  • Architect, build, and manage a cloud-based lakehouse environment using Apache Iceberg, AWS S3, and AWS Glue Catalog.
  • Develop and optimize Apache Spark data pipelines on EMR and Kubernetes environments.
  • Design and implement event-driven data ingestion solutions using S3 events and Amazon SQS.
  • Optimize query performance across Athena, Trino, and Spark SQL environments.
  • Orchestrate data workflows and ETL pipelines using Apache Airflow.
  • Manage infrastructure deployment and automation using Terraform.
  • Develop, publish, monitor, and maintain data products and analytical dashboards.
  • Implement data quality, governance, lineage, access controls, and cost management best practices.
  • Create technical documentation, architectural designs, and operational runbooks.
  • Provide technical leadership and mentorship to junior engineering team members.

Required Skills:
  • Must possess an active Secret Clearance
  • 8+ years of professional experience in Data Engineering or large-scale data platform development.
  • Expertise in Apache Spark, including performance tuning, partitioning, memory optimization, and handling data skew.
  • Strong proficiency in Python or Scala and advanced SQL development.
  • Experience with open table formats such as Apache Iceberg (preferred) or Delta Lake.
  • Strong understanding of distributed query engines, including Athena, Trino, and Spark SQL.
  • Hands-on experience with AWS services, including S3, Glue, EMR, Athena, EC2, SQS, and event-driven architectures.
  • Experience with Apache Airflow for workflow orchestration.
  • Proficiency with Terraform and Infrastructure as Code (IaC).
  • Experience working with Kubernetes environments.
  • Experience developing dashboards and data products using Grafana or similar visualization platforms.
  • Strong understanding of data quality, data governance, lineage, and access control frameworks.
  • Excellent technical leadership, mentoring, and stakeholder communication skills.
  • Ability to translate business, operational, and analytics requirements into scalable data platform solutions.
  • Strong collaboration skills with Data Scientists, AI Engineers, Cloud Engineers, and business stakeholders.
  • Proven ability to lead technical discussions and mentor junior engineers.
  • Excellent written and verbal communication skills.
  • Strong attention to detail regarding data quality, governance, lineage, security, and operational reliability.

Preferred Skills:
  • Experience operating and maintaining Apache Iceberg tables at enterprise scale.
  • Experience with Trino administration and performance optimization.
  • Knowledge of dbt or similar data transformation frameworks.
  • Experience with Helm and GitOps deployment methodologies.
  • Experience evaluating and implementing modern data visualization platforms beyond Grafana.
  • Familiarity with data catalog, metadata management, lineage, and governance tools.
  • AWS Data Analytics Certification and/or Certified Kubernetes Administrator (CKA).
  • Prior DoD, USAF, or Federal Government data platform experience.
  • Experience supporting AI/ML, data science, or advanced analytics workloads in cloud environments.

Benefits:
  • Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only)
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement

Salary Range: $160K to $180K per Annually

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