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Data Lake Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design, implement, and maintain scalable Data Lake architectures for structured and unstructured data

  • Configure and manage the Data Lake integration with the Stardog knowledge graph, including SPARQL access

  • Optimize ETL pipelines for high-volume data transformation at DoD IL-4/IL-5 security standards

  • Confirm access policy compliance quarterly and document results in a governance report

  • Implement storage tiering and access controls so data is classified, retained, and accessed per DoD rules

From the employer’s posting
design, implement, and maintain scalable Data Lake architectures to support structured and unstructured data ingestion
configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access
optimize ETL pipelines for high-volume data transformation, ensuring compliance with DoD IL-4/IL-5 security standards
confirm compliance with access policies on a quarterly basis and document the results in the Data Governance & Compliance Report
implement storage tiering strategies and access controls, ensuring data is properly classified, retained, and accessed per DoD governance requirements

What you’ll bring

All qualifications

Core experience

  • Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or - a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
  • Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
  • Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML workflow integration, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows.
  • Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
Qualification wording
Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or - a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML workflow integration, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows.
Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
Education & alternatives
- Active TS/SCI Clearance. - Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or - a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms. - Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
Apply at SOSi

Posting record

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Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 30, 2026126 days ago
Recorded sightings
266
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 126

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,703 similar postings that came down. Coming down is not always a hire.

SOSi is hiring

30 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 13% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Delta Lake
  • GCP
  • NoSQL
  • Spark
  • Terraform
Where the posting names them
- Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP. - Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics. Additional Information
- Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Data Lake development and deployment. - Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP. - Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
- Active TS/SCI Clearance. - Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or - a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms. - Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
- Skilled in Data Lake platform administration, including workspace management and configuration, cluster optimization and performance tuning, cloud integration, and Unity Catalog integration for secure data governance. - Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML workflow integration, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows. - Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Data Lake development and deployment.

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Job description

View original posting ↗

Job Description

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall design, implement, and maintain scalable Data Lake architectures to support structured and unstructured data ingestion, ensuring efficient data access and retrieval.
  • The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and catalog alignment.
  • The contractor shall follow access control policies and usage scope defined by the Government and other coordinated Work Orders.
  • The contractor shall confirm compliance with access policies on a quarterly basis and document the results in the Data Governance & Compliance Report.
  • The contractor shall optimize ETL pipelines for high-volume data transformation, ensuring compliance with DoD IL-4/IL-5 security standards.
  • The contractor shall implement storage tiering strategies and access controls, ensuring data is properly classified, retained, and accessed per DoD governance requirements.
  • The contractor shall submit the Data Lake Performance & Optimization Report, detailing ingestion efficiency, access control improvements, and storage utilization metrics.

Qualifications

  • Active TS/SCI Clearance.
  • Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or 
    • a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
  • Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
  • Skilled in Data Lake platform administration, including workspace management and configuration, cluster optimization and performance tuning, cloud integration, and Unity Catalog integration for secure data governance.
  • Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML workflow integration, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows.
  • Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Data Lake development and deployment.
  • Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
  • Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.

Additional Information

Work Environment

  • Normal office conditions

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

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Location & working pattern

Doral, FL, United States

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