VivSoft Technologies
via JazzHR
Senior Data Engineer
still open
verified 1d ago
posted 18d ago seen 1h ago
Apply at vivsofttechnologiesfa.applytojob.com
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 18d ago
The date the source published, not the day we noticed it (2026-10-15). Last seen at its source 1h ago.
We have tracked this listing since 18 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Pay
$185k–200k/yr
Taken from the listing's structured data, as the employer published it. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
JazzHR employer's own board first seen 15d ago · last seen 1h ago
The listing
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 DoW 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:
Required Skills:
Preferred Skills:
Benefits:
Salary Range: $160K to $180K per Annually
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 DoW 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